Trabajos data engineer en Reino Unido

EOS IT Solutions is a global provider of technology solutions and logistics services. With a legacy of execution for some of the world’s most demanding companies, we deliver networking solutions and hybrid work experiences across the globe. Our strength lies in our global logistics roots and our ability to adapt and innovate in a rapidly evolving tech landscape. We are seeking a passionate and high-energy Network Pre-Sales Systems Engineer ready to take the next step in their career. This role is ideal for someone with a solid foundation in enterprise networking, a flair for data centre or optical technologies, and a strong understanding of AI infrastructure. You will play a key role in building customer relationships and driving strategic deals across global accounts. • Engage with global customers to deliver technical solutions and presentations., • Participate in customer meetings, whiteboarding sessions, and custom technical design., • Scope services-related work and collaborate with sales counterparts., • Partner with multiple OEMs to identify and deliver customer value., • Continuously expand technical expertise and stay at the forefront of emerging technologies., • Travel expected: 25–30%., • Strong understanding of technologies such as:, • Software-defined architecture (SD-WAN, SD-LAN), • Data centre technologies (ACI, VMware, VDI), • Security solutions (NGFW, ZTN, SASE), • AI infrastructure (Nvidia, low latency network architecture), • Familiarity with major networking vendors: Cisco, Juniper, Arista, Nvidia, HPE-Aruba, Palo Alto Networks., • Ability to apply technical solutions to complex sales opportunities., • Experience translating design requirements into BOMs and working with procurement teams., • Strong communication and presentation skills., • Relationship-building skills, resilience, and the ability to work independently or collaboratively., • Understanding of the market space and sales cycle., • Previous experience with a value-added reseller (VAR) is preferred., • 5+ years in pre-sales engineering or a related field., • Certifications such as Cisco CCNP/CCIE, JNCIE, or Arista L5., • Solid knowledge of campus networking (L2/L3), SDx & programmability, data centre & cloud, AI infrastructure, and security., • Fluent in written and spoken English., • A collaborative mindset, enthusiasm for technology, and a desire to make a meaningful impact. At EOS, we believe in creating an inclusive environment where everyone feels valued and empowered. We celebrate diversity and are committed to fostering a culture of belonging, collaboration, and continuous growth. We welcome individuals from all backgrounds to bring their unique perspectives and talents to our team. #IND

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: · Sky Q, for the TV you love all in one place · The magic of Sky Glass at an exclusive rate · A generous pension package · Private healthcare · Discounted mobile and broadband · A wide range of Sky VIP rewards and experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do • Design and implement scalable APIs and backend services, primarily in Scala, to integrate ML models into production systems and deliver personalised experiences., • Real time data processing and gRPC microservices (Typelevel stack)., • Take end-to-end ownership of services, from development to production operations, • Optimising the performance of the application in the cloud environments, • Creating/improving automated pipelines that support our Continuous Delivery process, • Build, scale and maintain large scale cloud-based services, • Work closely with data scientists, ML engineers, and product teams to align technical solutions with business goals., • Refining the team processes to continuously integrate and working towards a continuously deliverable application., • Championing best practices to develop clean, resilient code that performs at serious scale., • Coaching and providing feedback to fellow developers.What you'll bring, • Strong software engineering skills with experience in Scala, ideally the typelevel stack (bonus if you have exposure to Golang and Python)., • Interest in machine learning, personalisation systems and cloud technology - even if you haven't worked extensively in ML before., • Demonstrated experience designing, implementing, deploying, and maintaining production-grade APIs and backend services, including responsibility for reliability, performance, and on-call support., • Hands-on experience working with data processing frameworks and distributed systems used to ingest, process, and store large-scale datasets, with an understanding of scalability, fault tolerance, and performance considerations., • Practical experience with modern software development practices, including automated CI/CD pipelines, containerisation technologies (e.g., Docker), and deploying applications to cloud environments (e.g., AWS or GCP)., • Ability to collaborate effectively across teams and communicate technical concepts clearly., • A problem-solving mindset and eagerness to learn new technologies and approaches., • Ability to challenge technical choices, architecture, tools and processesTeam overview Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: · Sky Q, for the TV you love all in one place · The magic of Sky Glass at an exclusive rate · A generous pension package · Private healthcare · Discounted mobile and broadband · A wide range of Sky VIP rewards and experiences · Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. What you'll do We are seeking a highly skilled Senior Machine Learning Engineer to advance our personalised recommendation systems by developing efficient, low-latency solutions that serve millions of users globally. The successful candidate will collaborate closely with data scientists, engineers, and product managers to design intelligent content recommendation mechanisms and drive the ongoing advancement of our Machine Learning Platform. • Model Development: Design, train, and optimise machine learning models focused on user personalisation, encompassing recommendation engines, ranking algorithms, user segmentation, and content analysis., • Data Pipeline Engineering: Construct and maintain robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets., • Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance., • Experimentation: Design and analysis of A/B tests and offline experiments to evaluate model efficacy and support continuous improvement., • Cross-Functional Collaboration: Engage with multidisciplinary teams to align machine learning initiatives with business objectives and user needs., • Research & Innovation: Evaluate emerging research in machine learning, deep learning, and personalisation for potential integration within existing systems. What you'll bring, • Demonstrated expertise in the full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance., • Strong proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). ., • Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton, TorchServe)., • Experience with high-volume data processing and real-time streaming architectures., • Strong understanding of recommendation system design and personalisation algorithms., • Familiarity with Generative AI and its applications in production settings., • Exceptional communication and analytical problem-solving skills., • Proven successful experience in mentoring less experienced engineers to improve their technical skillsA Typical Day at the Office When you come in, you can grab a coffee or a bit of breakfast from one of the many (subsidised) cafés or restaurants on site. Settle in at your desk, have a quick look at Slack to see what's happening in the tech communities, then catch up with everyone at the team stand-up. After that, you'll join your team and pick the first task to get cracking on. At lunchtime, you've got a few choices: head to The Pavilion for a bite with the team, pop to the onsite gym for a quick workout, or join in with a lunchtime community meetup - whatever suits you. Once you're back, you'll carry on working with your team on your current feature. Later in the afternoon, the team might fancy a quick coffee break before wrapping up the day with a team retrospective. Global OTT Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. This is a hands-on engineering role in a forward-thinking team driving AI adoption at enterprise scale. You will work across the AI lifecycle - from experimentation and prototyping to production deployment - to deliver innovative solutions that transform customer experiences, optimise operations, and enable new business capabilities across the Group. What you'll do • Act as a technical leader and mentor, guiding engineering teams in AI design, tooling, and development practices., • Develop and implement AI solutions that automate decision-making and deliver measurable business outcomes., • Design, build, and deploy scalable, maintainable, and observable AI systems, collaborating with senior engineers as needed., • Implement key stages of the AI lifecycle, including data preparation, agent development, evaluation, and monitoring., • Create and refine AI engineering standards, reusable assets, and support secure integration into enterprise platforms., • Stay up to date with industry trends, tools, and best practices in AI engineeringWhat you'll bring, • Experience of AI architectures, LLMs, vector databases, and agent frameworks such as Google ADK, • Strong software development experience in Python and/or Java, with familiarity with the Agile software development lifecycle., • Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment., • Understanding of cloud environments such as GCP, AWS, or Azure., • Strong analytical and problem-solving skills, with attention to performance and maintainability., • Enthusiasm for AI technologies, automation, and innovation, with a desire to experiment and learn quickly.Team overview We are seeking an experienced Senior AI Engineer to join our Group AI Engineering team and play a key role in building the next generation of intelligent, autonomous systems across Sky. You'll work with cutting-edge AI technologies - from large language models to multi-agent architectures - designing and delivering secure, scalable, and ethical AI systems that drive real business impact. The rewards • There's a reason people can't stop talking about #LifeAtSky. Our great range of rewards really are something special, here are just a few:, • Sky Q, for the TV you love all in one place, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • Access a wide range of exclusive Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. OR Livingston Watermark House: Our lively campus is a free shuttle bus away from Livingston North train station and the town centre. Plus there's onsite parking available for cars, motorbikes and bicycles. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Senior Systems Engineer, Data Management, London Our field sales professionals rely on proactive technical support during the sales process – and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need. Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in the UK, based London What you’ll achieve As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. You will: -Build and lead relationships for highly sophisticated customer accounts -Conduct customer needs analysis and anticipate requirements beyond existing solution’s scope -Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities -Verify operability of sophisticated product and service configurations within the customer’s environment • Perform advanced systems integration and provide technical expertise to design and implement the solution Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Technical Skills · Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar). · Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs). · Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats · Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering). · Unstructured data & AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns. · Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns. · Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA). · Analytics, BI, and data science · Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models. · Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics. · Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level). Consulting Skills · Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers. · Can translate ambiguous business problems into clear data and analytics use cases. · Storytelling & communication · Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences. · Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics). · Demo & POC excellence · Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features. · Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win. · Competitive positioning · Understands the broader data & AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools. 5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure. Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas: · Cloud data warehouse or lakehouse migrations · Enterprise BI modernization/self-service analytics · GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications · Real-time or streaming analytics · Advanced analytics / data science enablement · Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse) Who we are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy ___. Job ID:R285938

Please note - for this role scheduled weekly hours is 45h, 5 days a week, with 3 days in the office. We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. As a Full Stack Engineer, you will play a key role in building reliable, scalable, and efficient solutions that power our platforms. You'll thrive in a fast-paced, dynamic environment, balancing multiple priorities while maintaining a strong attention to detail. What you'll do: • Design and build well-crafted, resilient applications that remain highly performant at scale and secure in production., • Collaborate within a cross-functional, lean team, taking ownership of your deliverables while working closely with journalists, developers, and wider technology teams across the newsroom., • Contribute to the team's technical direction and help enhance its tools, workflows and engineering practices., • Work with stakeholders to elicit requirements, and ensure there is enough information available to progress with development, • Champion high engineering standards and bring a mindset of continuous improvement and innovation to what you build., • Bring a passion for automation and simplifying processes to optimise feature delivery, • Take an active role in key team activities such as planning, estimation and refinement., • Embrace working with a broad and evolving technology stack, including (but not limited to) JavaScript, NodeJS, React, Circle CI, Docker / Podman.What you'll bring:, • Solid commercial experience and demonstrable understanding of JavaScript, NodeJS, React with experience in applying OOP paradigms in building scalable applications., • Strong understanding of web architecture, including performance, scalability, security, and resilience, with experience optimising web applications., • Proficiency with CI/CD tools (e.g. CircleCI, GCP buildpacks), orchestration and containerisation technologies (Docker) would be an asset., • Testing framework experience, i.e. Cypress or Playwright and experience of testing methodologies, including unit-testing., • Experience with cloud platforms such as Google Cloud or AWS. For example, experience with Cloud Functions, Cloud Run., • Hands-on expertise with mapping platforms such as MapTiler and Leaflet would be a plus., • Experience working with the NoSQL databases i.e. MongoDB would be beneficial., • Comfortable working within Agile methodologies (Scrum, Lean, Kanban), with a collaborative approach and the ability to work independently, take initiative, and deliver to tight deadlines., • Strong communication skills, the ability to explain and challenge ideas and enthusiasm for innovation.Team overview Sky News This is an exciting opportunity to join the Sky News team at the heart of the newsroom, where diverse technologies, disciplines, and skill sets come together in a dynamic and creative environment. Based at Sky Studios a vibrant hub of activity you'll work alongside our 24-hour live TV studios, editorial teams across broadcast, digital and audio platforms. The team delivers a diverse range of technology solutions across multiple digital and broadcast platforms. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Please note that due to the nature of this role, it incorporates a 45 hour working week. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way.

We believe in better . And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Sky are developing a cutting-edge AI Operations platform that supports large-scale streaming, content delivery, and live services across the Sky and NBCUniversal ecosystems. We are looking for a Senior Engineer who is passionate about comples systems and the advancement toward AI-assisted operations. This Senior Software Engineer position within AI Operations focuses on designing, building, and maintaining complex systems that enable alert ingestion, correlation, automation, and operational intelligence at scale. The role is hands-on and deeply technical, offering opportunities to influence platform architecture, contribute to AI-adjacent projects, and shape the application of intelligent automation across intricate operational environments. We utilize a range of technologies to achieve these goals, including machine learning, data engineering, AI, and GENAI for supporting GST. What you'll do • Work as a full-stack software engineer, coding, developing, and testing applications using Golang and Python, across service, API, and automation layers, • Lead the strategic development and implementation of the AI Operations platform, driving AI-enabled software solutions for alert ingestion, correlation, automation, and operational workflows, • Design, build, and operate software and automated testing frameworks on AWS, including unit tests, integration tests, API tests, and environment-based validation, • Document and maintain every aspect of applications and software, including design specifications, configuration, deployment processes, and troubleshooting runbooks, • Train, mentor, and oversee development team members through code reviews, design walkthroughs, and technical guidance, • Locate and direct solutions for critical challenges involving software and hardware interfaces, performance bottlenecks, and reliability issues, • Deliver full-stack software development using continuous improvement techniques and automation, identifying root causes and resolving issues within distributed software systems, • Develop strong cross-functional relationships with leaders, product owners, engineers, programmers, and QA, contributing to planning, delivery, and operational support. What you'll bring, • Hands-on experience developing infrastructure-as-code ( IaC ) solutions in a data or platform engineering role, and working with Application Performance Management for monitoring, diagnostics, and performance analysis, • Proficie ncy in programming languages such as Golang and Python, • Proven expertise in building and scaling automated testing ecosystems on AWS , with the ability to design comprehensive test suites-including unit, integration, and API testing, • Hands-on experience working with algorithms and artificial intelligence, applied within software platforms or automation workflows, • Strong knowledge of REST APIs, i ncluding API design, versioning, and integration, with experience using low-code / no-code automation platforms, • Experience working with MongoDB and Postgres, including data modelling, query optimization, and operational support, • Proven experience creating and maintaining technical documentation, including design specifications, configuration guides, deployment processes, and troubleshooting documentation, • Experience maintaining architecture artifacts such as sequence diagrams and software specification diagrams to support system understanding and change management, • Ability to lead and introduce innovative design concepts, influencing development strategies, patterns, and engineering techniques, • Proven ability to provide technical solutions, troubleshoot engineering automation issues, and stay current with emerging software technologies to design features that complement the platform Team overview You'll join a globally distributed engineering team working across Sky and NBCUniversal platforms, supporting services used by millions of customers worldwide. The team operates at the intersection of software engineering, platform reliability, and AI-assisted operations. We build systems that help engineering and operations teams detect issues earlier, respond faster, and continuously improve platform resilience and operational outcomes. Collaboration across regions, disciplines, and time zones is a core part of how we work. Global Streaming Technology Our team develops and supports market-leading video streaming services, underpinned by state-of-the-art engineering principles. We do this at huge scale: for over 50 million customers globally, spanning NBCUniversal Peacock in the US and Sky, NOW and SkyShowtime across Europe. No matter the device, the time or the place, we make sure that our diverse audiences can easily find and enjoy whatever they want to watch, choosing from the world's best entertainment, news and sport. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks . Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose . You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. Leeds Leeds is home to two Sky offices; our contact centre and digital tech hub at Whitehall, and our Central Square customer sales centre right at the heart of the city. Our modern spaces, with subsidised cafes and dedicated break-out spaces, provide a balance for our hybrid working teams. Need a break? You can blow off steam over a game of pool or table tennis, or stay fit with local gym discounts We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if , how far, and what next . But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Want to do the best work of your life? With 24 million customers in 7 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work. The Content System Engineering team is at the cutting-edge of the latest content management and content processing systems. We are extremely passionate about what we do and have an exciting opportunity to hire a 24/7 shift-based Content Systems Support Engineer who will be able to resolve incidents to ensure our systems are operating as efficiently as possible. What you'll do: • Provide 24/7/365 support for content processing systems, ensuring platform stability and timely incident resolution, • Lead initial investigations into technical issues, particularly within Media Asset Management (MAM) systems and interconnected broadcast workflows, liaising with system specialists when deeper expertise or escalation is required, • Monitor platform performance to predict and prevent issues, contributing to high service availability and customer satisfaction, • Collaborate with system owners, engineering teams, and operational staff to support a wide range of systems and projects, ensuring smooth handovers and effective problem-solving, • Document findings and resolutions to support continuous improvement and knowledge sharing across the team, • Operate effectively in a globally distributed team, supporting both local and international operationsWhat you'll bring, • Strong analytical and problem-solving skills, with a proactive approach to technical issue resolution, • Good understanding of Linux and Windows environments., • Experience in coding or scripting. (python / bash), • Understanding of content management and MAM systems., • Experience working with AWS infrastructure and services., • Strong stakeholder communicationHow you'll work: In this role you will work onsite, in a 24/7 shift environment, including nights, weekends, and holidays, 5/4 days on and off. Early shift : 7am - 7pm Mid shift : 10am - 10 pm Night shift : 7pm - 7am The Rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place!, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences! Team overview" Content technology and innovation" Our Content Technology and Innovation team delivers high-quality content to homes, customer devices, businesses and commercial partners across our European markets. With over 2500 colleagues from around the world, we combine our strategic insights, engineering know-how and operational excellence to use the most innovative technologies to create and distribute our award-winning content." Inclusion & how you'll work" We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can." We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process." Your office space:" Osterley:"Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers."On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon." We'd love to hear from you"" Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next."" But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet." If you believe in better, we'll back you all the way." Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. We're tinkers, coders, and problem solvers . And we make it happen. Better products. Smarter platforms. And better ways of working. Working in Tech at Sky means building what's next - from automation platforms that keep Sky Q reliable, to tools that help engineers ship safely at scale. We're looking for a Senior Automation Engineer to help us evolve our Python based automation frameworks, CI/CD pipelines and tooling that power the Sky Q experience. You'll use your engineering craft to remove friction, increase quality, and enable teams to deliver features to millions of customers with confidence. What you'll do • Design, build and maintain Python-based automation frameworks and tools that support end-to-end testing and operational workflows for Sky Q services., • Develop, extend and optimise CI/CD pipelines (primarily in Jenkins) to ensure fast, reliable and repeatable delivery of software into multiple environments., • Work hands on in Linux environments , scripting, configuring and troubleshooting automation jobs, agents and infrastructure to keep pipelines healthy and scalable., • Collaborate with product engineering teams maintaining our Django and React applications , embedding automation into their workflows and improving observability and reliability., • Introduce and integrate new tooling - including AI assisted development and test tools - to improve developer productivity, coverage and feedback cycles., • Champion engineering best practices across the squad: code reviews, pair programming, clean code, robust testing strategies and continuous improvement., • Act as a technical go to for automation , mentoring other engineers and helping shape the roadmap for our automation and test platforms. What you'll bring, • Advanced Python engineering capability - deep, hand s - on experience designing, building and maintaining robust automation frameworks using clean, modular, well tested code., • High proficiency with CI/CD (Jenkins, Pipelines, CasC ) - able to architect, optimise, and troubleshoot complex pipelines, agents and integrations in large scale delivery environments., • Strong Linux / VM operational expertise - confident working across distributed systems, debugging services, managing environments, and resolving complex infrastructure issues., • Experience supporting or building web-based systems (e.g. Django backends and React frontends) and integrating them into automated pipelines., • Solid competency in database operational support - capable of maintaining database related workflows, debugging data issues and supporting services used within automated pipelines., • Competent API development experience - able to develop or extend backend APIs (e.g., Django/DRF) and integrate them seamlessly into automated workflows., • Good awareness and some practical experience with AI a ssisted engineering workflows - such as using LLMs for automation tasks, applying ML assisted testing techniques, or experimenting with MCP style tooling to enhance productivity., • Experience working effectively within Agile delivery teams - contributing to cross functional collaboration, communicating clearly, and supporting shared outcomes., • An inclination toward continuous improvement - proactively seeking better ways of working, improving reliability, and helping raise engineering standards across the team. Team overview You'll join the Sky Q engineering organisation within Global Product Experience Engineering - the teams who build, test and run the platforms behind one of Sky's flagship products. Our automation squad works at the heart of delivery: • Building and evolving the automation frameworks and pipelines used by multiple cross functional teams., • Enabling fast, safe releases to production environments., • Partnering with squads across Sky Q to embed automation thinking from the start of each initiative. The rewards There's a reason people love working here. As well as a competitive salary, you'll enjoy a wide ranging benefits package, plus the chance to work with cutting e dge tech on products used by millions. From development opportunities and community groups, through to discounts and wellbeing support - we'll give you the tools and environment to do the best work of your career. Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salo We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

White Collar Factory (95009), United Kingdom, London, London Senior Software Development Engineer - Velocity Black UK Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. It's concierge, reimagined for the digital age. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world’s finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. What unites us are the values we share: the relentless pursuit and celebration of excellence, actualising the full potential of our lives, and impacting the world in a positive way. We are looking for talented software engineers to join our global Velocity Black by Capital One engineering team, with the opportunity to specialise in frontend, backend or work in a full stack capacity. As a Senior Software Development Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation with the marrying of these two innovative companies. Joining a startup deeply invested in technology with Capital One’s entrepreneurial spirit and customer-first, tech-led culture, creates an environment where engineers can continue to disrupt the status quo to develop best-in-class customer experiences for the digital age. You will work in a small but passionate team, and have a great deal of autonomy. You should be self-driven, willing to take ownership, ask the right questions and seek knowledge when necessary. If you think innovatively, and like to embrace bleeding edge technology, with a pragmatic approach, you will enjoy working here. The service we offer and build upon is unlike anything ever built before, and our product is rapidly evolving. Velocity Black is our core product, built in React Native and offering exclusive access and unbeatable word-wide service across Travel, Experiences, Luxury Goods and Dining. Our internal and bespoke request management platform, Gravity, is built with React and Node.js micro services, virtually augmenting our expert customer service agents with AI, delivering the unrivalled personal service our members expect and love. Explore our tech stack:___ What you’ll do * Deliver end to end functionality from ideation to delivery focused on the functionality surrounding the ability to make a request and message back and forth while helping to define and adopt best practices * Work in a fast-paced, collaborative technical environment * Utilise programming languages and tools like React Native, React, Node.js, JavaScript, TypeScript, micro services, AI, ML, open source frameworks, DevOps, large data sets, and more * Perform software development leveraging a test-driven development pattern * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help high-performance people actualize the full potential of their lives * Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, mentoring other members of the engineering community What we’re looking for * Experience with influencing technical decisions with a tech team in an agile environment * Proven experience in software development using JavaScript or TypeScript * Experience with testing software (automated tests or Test Driven Development) * Previous experience working with AWS, GCP, Microsoft Azure or another cloud service * Have a passion for continued learning of the latest JavaScript and ES versions and trends What you’ll get to learn (any previous experience would be advantageous) * An in-depth understanding and experience working with the cloud/AWS and the opportunities that it brings * Solving real world problems and being comfortable working in a complex regulated environment Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model, so you’ll be based in our offices 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What’s in it for you * Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation * We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) * Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: * REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies * OutFront – to provide LGBTQ+ support for all associates * Mind Your Mind – signposting support and promoting positive mental wellbeing for all * Women in Tech – promoting an inclusive environment in tech * EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ___ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to ___ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

This role is being handled by Via, a secure hiring platform used by employers to review candidates. After applying, you will be invited to create your profile on the Via platform. Your profile stays anonymous until you match. Senior Data Engineer £70,000–£120,000 | London (Hybrid) Snowflake | Modern Data Platforms | Consulting Environment We’re hiring a Senior Data Engineer to help design and deliver modern data platforms for a range of clients in a consulting environment. This is a London-based, hybrid role, with some office presence required. You’ll work on high-impact data projects using Snowflake and the modern data stack, partnering closely with engineers, architects and senior stakeholders. If you enjoy solving complex data problems, working across different client environments, and having real influence over design and delivery, this role offers both challenge and progression. What you’ll be doing • Designing and building modern, cloud-based data platforms, • Leading or contributing to complex Snowflake implementations, • Building scalable data ingestion, transformation and analytics pipelines, • Translating business requirements into robust technical designs, • Acting as a trusted data consultant to client stakeholders, • Mentoring engineers and helping raise engineering standards, • Contributing to internal tooling, patterns and delivery best practiceWhat we’re looking for, • Strong experience as a Data Engineer in a consultancy or complex delivery environment, • Deep, hands-on expertise with Snowflake, • Experience with the modern data stack, including dbt, Airflow (or similar) and Python, • Solid experience with AWS and/or Azure, • Strong SQL skills and performance optimisation experience, • Familiarity with CI/CD, DevOps and DataOps practices, • Confident communicator, comfortable engaging with senior technical and non-technical stakeholdersNice to have, • SnowPro certification (or willingness to complete shortly after joining), • Experience with containers, infrastructure as code and automated pipelines, • Exposure to data governance, observability and data quality frameworksWhy join, • Work on varied, high-impact data projects using modern technologies, • Competitive salary of £70,000–£120,000, depending on experience, • London-based, hybrid setup with a balance of collaboration and flexibility, • Clear progression and access to funded training and certifications Register your details on Via to progress your application. Create one profile and be matched to this role and other relevant opportunities, including roles being recruited exclusively on Via.

Software Engineer – C# / .NET (Automation & Distributed Systems) Fully Remote | £50,000 | London Meetups Every 2 Months We are working with a fast-growing automation and AI-driven software company building backend systems that automate real operational workflows for clients in sectors such as automotive and financial services. This is not a front-end heavy role. It is backend, systems-focused engineering. The team build long-running background services, distributed processing systems and automation workflows that move data between platforms and trigger real-world business actions. What You’ll Be Doing • Building and maintaining C# /.NET backend services, • Developing long-running background processes and hosted services, • Designing and supporting distributed systems, • Working with SQL Server and optimising data performance, • Integrating systems via APIs and automation tooling, • Supporting and debugging production systems, • C# / .NET, • ASP.NET Core, • SQL Server, • Azure, • Background services / hosted services, • Messaging systems (e.g. RabbitMQ or similar), • Strong C# /.NET backend experience, • Experience building or maintaining background services, • Exposure to distributed systems or microservices, • Solid SQL knowledge, • Some Azure experience, • Comfortable working in a fast-paced environment The Setup • Fully remote, • London meetups roughly every two months (travel expensed), • Small, senior-leaning engineering team, • Two-stage interview process

Senior Data Engineer - Azure Databricks (Contract) ?? Fully Remote | ? 3 Months (Likely to Extend) | ?? Outside IR35 I'm supporting a client who is looking for an experienced Senior Data Engineer with strong Azure and Databricks skills to join them on an initial 3-month contract, with a high likelihood of extension. What you'll work on • Building and optimising scalable data pipelines in Azure and Databricks, • Supporting data engineering best practices across cloud environments, • Collaborating with cross-functional teams to deliver high-quality data solutionsWhat we're looking for, • Strong commercial experience with Azure & Databricks, • Skilled Senior Data Engineer with a track record of delivering in fast-paced environments, • Health / Life Sciences experience is highly beneficial (candidates with thisd experience will be prioritised)Contract details, • Duration: 3 months (likely to extend), • IR35: Outside IR35, • Location: Fully remote

Contract Azure Data Engineer - £600/pd Outside IR35 Please note - this is a London based role which will require you to attend the London office three days per week. To be eligible for this role you must be based in the UK and have the unrestricted right to work in the UK. My client is looking for an experienced Data Engineer to support the delivery of high-quality data and software solutions within a fast-paced asset management environment. You'll join a small engineering team driving improvements across core systems, analytics workflows, and DevOps-led delivery processes. Key Responsibilities • Analyse business processes, gather requirements, and document technical solutions., • Design, develop, and deliver data and software solutions aligned to business goals., • Produce clean, modular, testable code and support peer code reviews., • Own the delivery lifecycle, remove technical blockers, and lead third-party developers when required., • Contribute to DevOps practices, CI/CD pipelines, test automation, and continuous improvement., • Support testing, service transition, and knowledge transfer., • Collaborate across the business, ensuring solutions meet quality and performance expectations.Required Skills, • Strong Azure expertise (architecture, services, security)., • Solid data engineering experience (ETL, modelling, warehousing)., • Hands-on Azure Data Services: Data Factory, Data Lake, Synapse, Azure SQL., • Proficient SQL and programming skills (Python/Java/C#)., • Understanding of DevOps and CI/CD (Azure DevOps/GitHub)., • Excellent communication with technical and non-technical stakeholders.Desired Skills, • Power BI/Tableau, • Stakeholder management, • Spark/Hadoop, • Unit testing frameworks, • Azure advanced analytics, • Data warehousing experience, • Azure Data Engineer certification To apply for this role please submit your CV or contact David Airey on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Your new companyWorking for a renowned financial services organisation Your new roleWe're looking for a Senior Data Engineer to design and deliver scalable on prem, high-quality data solutions for low/ high-level data platforms that power analytical and business insights. This is a hands-on role suited to someone with strong data engineering and big data expertise, ideally gained within financial services. Joining leading commodities, metals, trading, and exchange group, you will support a strategic metals initiative focused on reducing on-prem platform costs and modernising legacy ETL processes. You'll help design and build a new on-prem data platform aligned to the metals strategy while developing and maintaining scalable data pipelines and analytics infrastructure. Using Hadoop, Big Data, and Spark technologies, you will ensure data quality through automated validation, monitoring, and testing. You will also enable seamless integration across data warehouses and data lakes, contributing to a robust, scalable, and resilient enterprise data ecosystem.What you'll need to succeed • Vast Data Engineering expertise with Big Data technologies., • Experience designing and building on-prem data platforms, from high-level architecture to detailed technical design., • Hands-on experience configuring multi-node Hadoop clusters, including resource management, security, and performance tuning., • Strong Big Data engineering background using Apache Airflow, Spark, dbt, Kafka, and Hadoop ecosystem tools., • Knowledge of RDBMS systems (PostgreSQL, SQL Server) and familiarity with NoSQL/distributed databases such as MongoDB., • Proven delivery of streaming pipelines and real-time data processing solutions., • Improved job efficiency and reduced runtimes through Apache Spark optimisation and development., • Some experience with containerisation (Docker, Kubernetes) and CI/CD pipelines., • Delivered streaming pipelines and real-time data processing solutions., • Experience replacing legacy ETL tools (e.g., Informatica) with modern data engineering pipelines and platform builds. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

We're partnering with a fast-growing sports/entertainment business looking to hire a Senior Backend Engineer on a 6-month contract (outside IR35), with potential to convert to permanent (£95k). This is a hands-on tech lead role with ownership of core platform systems powering multiple websites and internal services. The Role You'll take full technical ownership of the NextGen CMS and Master Data (MDM) systems, designing, developing, and mentoring a small team of engineers. This role is perfect for someone who thrives in complex, high-scale environments and wants real impact from day one. Key Responsibilities: * Lead development across CMS and MDM systems * Maintain and expand complex backend systems (not standard CMS) * Mentor engineers and set engineering standards/patterns * Drive architecture, integrations, and system scalability * Work closely with stakeholders to deliver features and improvements Team Environment: * 5 Backend, 3 Frontend engineers, 1 Delivery Manager * Supported by 1 Architect; Product hire joining soon * Distributed across UK & Poland; hybrid working with optional Holborn office Required Skills & Experience * Node.js & TypeScript in production systems * AWS or other cloud at scale * Experience owning large, complex backend systems * Proven mentorship or tech lead experience * Strong system design & architecture experience * Integration-heavy environments Nice-to-Have: * Experience with high-scale platforms (gaming, sports, fintech, marketplaces) * DevOps/SRE awareness Soft Skills: * Excellent communicator, proactive and collaborative * Leadership mindset with ability to influence technical decisions * Commercially aware and solution-focused Logistics * Contract: 6 months (potential perm conversion) * Rate: £575/day (flex for exceptional candidates) * IR35: Outside * Start: ASAP (before end of February ideal) Why Join? * Take technical ownership of core backend systems * Mentor and shape a growing engineering team * Work on complex, high-impact platforms with real influence * Opportunity to convert to permanent role

Azure Data Engineer - 3–6-month contract We are looking for a Data Engineer to join a growing digital and data function supporting a modern, cloud-based data platform. This role focuses on building reliable, secure, and scalable data solutions that enable analytics, operational reporting, and data-driven decision making across the organisation. You will work closely with technical and non-technical stakeholders to deliver well-engineered data pipelines and models, contributing to the continuous improvement of data platforms and engineering standards. Azure data engineer responsibilities: • Build and support robust ELT data pipelines using Azure-based technologies and SQL, • Develop structured data models aligned to modern data platform patterns, • Ensure data solutions meet performance, security, quality, and reliability standards, • Contribute to agile delivery, code reviews, and continuous improvement of engineering practices, • Hands-on experience with Azure Data Factory, Databricks, and SQL-based databases, • Strong understanding of data engineering principles, including ELT and data modelling, • Experience working with CI/CD pipelines, automation, and testing, • Knowledge of data governance, access control, and platform standards, • Excellent communication and collaboration skills Apply now to speak with VIQU IT in confidence. Or reach out to Phoebe Thompson via the VIQU IT website. Do you know someone great? We’ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on LinkedIn @VIQU IT Recruitment.

Senior / Lead Data Engineer London, Hybrid. (1-3 Days in London) Up to £90,000 plus 25% bonus. This is an exciting opportunity to lead data engineering within a growing organisation that is scaling its cloud data platform. You will take technical ownership of GCP data architecture, guide engineering standards, and deliver high quality pipelines that enable analytics and product teams across the business. The Company They are investing heavily in modern data capabilities and are building a cloud-native environment to support their next phase of growth. Their teams work collaboratively across engineering, analytics, and product, creating an environment where data reliability, scalability, and innovation are core priorities. You will join a function where your leadership has clear impact on technical strategy and delivery. The Role • Lead the design and build of scalable data pipelines and platform components in GCP., • Guide and develop data engineers, ensuring strong engineering practices and delivery standards., • Create and maintain reliable batch and streaming workflows using GCP native tools., • Develop robust data models and ensure high quality, well-documented datasets., • Champion data quality, governance, observability, and continuous improvement., • Partner with cross-functional teams to translate business needs into technical solutions., • Contribute hands-on to complex engineering challenges and architectural decisions. Your Skills and Experience • Strong commercial experience working with GCP data tooling, including BigQuery, Cloud Storage, Pub/Sub, and Dataflow., • Proficiency in Python and SQL for building well-structured, production-grade pipelines., • Familiarity with infrastructure as code, ideally Terraform., • Experience leading technical delivery or guiding engineering standards., • Comfortable operating across architecture, hands-on engineering, and collaboration with non-technical stakeholders., • Strong awareness of data quality, testing, monitoring, and modern ELT patterns. What They Offer • Salary up to £90,000 plus 25% bonus., • Hybrid working with office flexibility., • Pension and a comprehensive benefits package., • Dedicated training and development budget., • Opportunity to shape data engineering strategy and influence long-term platform decisions., • Clear progression pathways within an expanding data function. How to Apply If this opportunity sounds like a good match, please apply with your CV.

Data Engineer (Permanent)Salary: Up to £60,000Location: London Victoria (1 day per week onsite, rest remote)The Role We are seeking a skilled Data Engineer to join a growing team delivering modern, scalable data solutions. This is a permanent opportunity offering a hybrid model, with one day per week in London Victoria and the remainder working remotely.You will play a key role in designing, building, and optimising data pipelines and platforms, supporting advanced analytics and business intelligence initiatives.Key Responsibilities • Design and develop scalable data pipelines and data processing solutions, • Work with modern data platforms such as Microsoft Fabric, Databricks, or similar technologies, • Build and optimise data solutions using Python, Spark, PySpark, and/or SQL, • Support data integration, transformation, and performance optimisation, • Collaborate with stakeholders to ensure high-quality, reliable data architectureEssential Skills & Experience, • Hands-on experience with Microsoft Fabric, Databricks, or equivalent modern data platforms, • Strong coding experience in Python and/or Spark/PySpark, • Solid SQL skills and experience working with structured datasetsDesirable Experience, • Knowledge of relational database design, normalisation, and data modelling, • Experience designing efficient, scalable data architectures This is an excellent opportunity for a data professional looking to work with modern tooling in a flexible, forward-thinking environment.

Role: Senior Software Engineer Location: Canary Wharf, Central London Salary: £70,000-£75,000 Plus Hybrid / Flexible Working, Company Bonus, Generous Pension and more. We are working with a well-funded, mission-driven organisation in the renewable energy space looking to hire a Senior Software Engineer into a core engineering team. You’ll be working on complex, large-scale platforms supporting critical infrastructure at a national level. This is a high-impact engineering environment where strong technical input genuinely matters. You’ll be responsible not just for building software, but for contributing to technical direction, design decisions, and engineering standards across the team. Key Responsibilities • Build and scale high-performance, cloud-based applications, • Develop backend services using Python (Django), • Work across TypeScript / JavaScript where needed, • Contribute to technical design, architecture, and engineering best practices, • Provide technical leadership, supporting and mentoring other engineers, • Improve system performance, scalability, and reliability, • Strong experience with Python (Django), • Experience with JavaScript / TypeScript, • Experience working in cloud environments (AWS, Azure or GCP), • Strong understanding of APIs, microservices, and scalable systems, • Experience contributing to technical design or architecture decisions, • Ability to provide technical leadership and mentor others, • Experience with React, Node.js, Terraform or Celery Keywords Senior Software Engineer, Python Developer, Django, Flask, JavaScript, TypeScript, React, Node.js, AWS, Azure, GCP, Cloud Engineer, Backend Developer, Full Stack Developer, Microservices, API Development, CI/CD, DevOps, Terraform, Celery, Data Engineering, Renewable Energy Tech, Technical Leadership, Software Architecture, Scalable Systems, Leeds Jobs, London Jobs, Hybrid Jobs, Tech Jobs UK

.NET Developer (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Programmer, Full Stack Engineer, Architect, .NET Developer)At this very moment our client is constructing the world's first intelligent answer engine based on semantic information recognition. This new search engine is based on innovative cloud data technology which doesn't recognise meaning by search words but rather by the correlation as regards to content and is able to generate answers from data. Our client has had some of the brightest minds in .NET software development working on this product for the past 3 years and feels it is now time to take the market by storm. Their ultimate goal is to overtake Google by 2027. In line with this, they have begun a period of aggressive expansion and have opened a stylish new UK office. As part of this, they are looking to recruit the next generation of .NET Developer to take this search engine to new heights. They are looking for .NET Developer who have experience in .NET, .NET Core, C# and Azure SQL. You will receive training in all aspects of: .NET 10.0, C# 14, Azure SQL, .NET MAUI, GitHub Copilot, Docker, Kubernetes, Microservices architecture, Angular 21, Vue.js, TypeScript, Node.js, Elasticsearch and MongoDB. These .NET Developer positions come with the following benefits: • 10% bonus (5% based on personal performance, 5% based on company performance)., • Generous pension scheme and private healthcare., • Training allowance of £10,000 per year., • Free lunch., • Summer exchange programme with European offices (the company will pay for accommodation for you and your family for a period of up to six weeks)., • 27 days holiday (excluding Bank Holidays) plus your birthday off., • Flexible working hours., • Team BBQ every Friday afternoon during the months of July and August (early finish)., • Free gym membership., • 2 days per month allocated for team building activities Location: London, UK / Remote Working Salary: £80,000 - £100,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETRECNOIRUKREC NC/NET/126

Senior Data Engineer (Architecture & Platform Focus) West London | Hybrid (2 days onsite) | Environmental research organisation I'm recruiting on behalf of a highly respected environmental research organisation for a Senior Data Engineer to play a key role in the evolution of its Azure-based data platform, with a strong focus on platform design, architecture and best practice. This is a hands-on senior engineering role with clear scope to influence architectural decisions and platform direction. It's well suited to an experienced Data Engineer who enjoys building robust data platforms today and wants to step into broader architectural ownership. You'll work closely with technical and non-technical stakeholders across science, conservation and corporate functions, helping shape how data is engineered, governed and used across the organisation. Key requirements • Strong experience designing, building and operating cloud data platforms in Azure, • Hands-on expertise with Azure data services such as Data Factory, Synapse/SQL, Data Lake/Lakehouse/Fabric and Power BI, • Proven delivery of reliable ETL/ELT pipelines using CI/CD and modern DevOps practices, • Experience contributing to data architecture, technical standards and platform design decisions, • Confidence working in complex stakeholder environments and collaborating with suppliers and partners, • Work for a mission-led, not-for-profit organisation tackling global environmental challenges, • Opportunity to grow architectural ownership while remaining hands-on with modern data technology, • High visibility role influencing how scientific and operational data is integrated and used, • Supportive environment that values quality engineering and pragmatic design, • Hybrid working with a collaborative West London campus Diversity, equity, and inclusion are at the heart of what we value as an organisation. Boston Hale is an equal opportunities employer, and all qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, age, disability, or any other status protected by law.

Data Engineer Microsoft Platforms - Outside IR35 - RemoteAbout the Role We are seeking a skilled and motivated Data Engineer to join our growing Data Engineering Team. You'll be an integral part of a high-performing team, working primarily with Microsoft technologies to design, build, and deliver complex, enterprise-grade data solutions. In this role, you'll help empower our colleagues to make data-driven decisions every day and enable best-in-class experiences for our customers. You'll work closely with Architects, Senior Engineers, and business stakeholders to ensure solutions meet both technical and business requirements, while adhering to regulatory, governance, and quality standards. Key Responsibilities * Design, develop, and deliver high-quality, enterprise-level data solutions on Microsoft platforms. * Build and maintain robust data pipelines and integrations (ETL/ELT). * Collaborate with Architects and Senior Engineers to deliver solutions aligned to technical designs and specifications. * Work closely with business stakeholders to understand requirements and ensure delivered solutions meet business needs. * Partner with Data Science, Digital, and Core Systems teams to deliver cross-functional projects, from initial delivery through to BAU change. * Contribute to Agile ceremonies including Daily Stand-Ups, Backlog Refinement, Retrospectives, and Demos (Kanban experience preferred). * Participate in code reviews and champion engineering best practices. * Adhere to in-house engineering standards, architectural principles, and industry best practices. * Follow internal policies and procedures for data management, governance, quality, privacy, security, and regulatory compliance. * Create and maintain technical documentation, wikis, and release notes throughout the development lifecycle. * Conduct thorough testing and quality assurance of data solutions prior to release. Skills and Experience Essential: * 3-7 years' experience in Data Engineering and/or Business Intelligence. * Proven experience working within a regulated environment. * Strong analytical and problem-solving skills, with the ability to quickly understand new and complex subject areas. * Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. * Strong interpersonal skills and the ability to build trusted relationships across all levels of the organisation. * Experience delivering data solutions in an Agile environment (ideally Kanban). Technical Expertise: * Strong expertise in Microsoft Data Platform technologies, including: * SQL Server * SSIS * SSAS * SSRS * Solid understanding of data warehousing concepts, data normalisation, dimensional modelling, and associated best practices. * Hands-on experience with data pipelines and integrations (ETL/ELT). * Proficiency in data manipulation languages such as T-SQL and DAX. To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.

Senior Software Engineer - C#, .Net, TypeScript, JavaScript • Hybrid, 2 days in the office which is located near Liverpool Street, • Building full-stack features using C#, .NET and TypeScript/React, • Developing scalable backend services for complex data workflows, • Creating responsive, user-friendly interfaces, • Exploring new technologies and contributing to technical improvements, • Strong commercial experience as a Software or Full Stack Engineer, • Solid experience with C# / .NET and modern JavaScript or TypeScript (React preferred), • Strong problem-solving ability and a collaborative mindset, • Technically challenging, data-driven SaaS product, • Work alongside a highly capable and intellectually strong team, • Excellent learning opportunities and clear progression as the company grows, • Hybrid working, 2 days onsite near Liverpool Street Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Data Engineer Ncounter are supporting a specialist technology consultancy delivering advanced data and AI platforms into highly secure Government and Defence environments. We are seeking a DV Cleared Consultant Engineer to join a growing engineering practice working at the sharp end of national security programmes. This is a deeply technical, hands on role suited to engineers who enjoy solving complex data integration and workflow challenges within secure, mission critical settings. Core experience required: • Active DV clearance, with willingness to work onsite within secure UK locations, • Strong software engineering capability in Python, SQL and TypeScript, • Proven delivery of complex data engineering solutions across cloud and on prem environments, • Experience designing and optimising ETL pipelines and data models at scale, • Ability to integrate AI or machine learning components into operational systems, • Confident stakeholder engagement within Defence or other classified programmes You will operate across the full engineering lifecycle, translating ambiguous operational problems into robust technical designs and scalable implementations. Working closely with end users and technical stakeholders, you will design and build secure data pipelines, engineer ETL processes, and develop operational workflows that drive real world decision advantage. Exposure to Palantir style platforms such as Foundry or Gotham, or similar large scale data integration environments, is highly desirable You will be expected to challenge assumptions, improve architectural standards and deliver solutions that are secure, performant and supportable in highly constrained environments. This is not a generic consultancy post, it is a technical engineering role where code quality, system design and secure deployment truly matter. If you hold active DV and want to apply your engineering expertise to programmes of national importance, contact Ncounter for a confidential discussion.

Analytics Engineer London Up to £65,000 We are partnering with a membership platform who have big plans for their global growth! ROLES AND RESPONSIBILITIES: The Analytics Engineer will: -Design and build tested and documented data models in dbt -Optimise the build of the transformation layer for scalability -Work with multiple teams and stakeholders, including Data Analysts and Data Scientists to understand needs and turn them into solutions -Maintain data security, consistency and accuracy through monitoring and testing -Automate data workflows, version control and deployment practices across the stack -Uphold clear documentation for datasets, data flows and definitions to support data literacy YOUR SKILLS AND EXPERIENCE: The ideal candidate will have the following skills and experience: -Strong sills in SQL and experience with modern data warehouses (e.g. BigQuery) -3+ years of experience in Analytics Engineering or a related field -Technical experience with advanced modelling techniques in dbt -Understanding of ETL/ELT processes -Experience with BI semantic layers and data visualisation tools -Understanding of dimensional modelling, analytics and data warehousing principles best practices -Clear communication skills and ability to work with multiple teams APPLY BELOW!

Are you looking to benefit from a new career in Software Development? Skills shortages in the IT sector is driving the need for qualified, entry-level career seekers and career changers. We help place graduates from this programme in top UK companies and organisations needing to employ entry-level software development staff that can hit the ground running with up-to-date skills gained from this programme. The best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge, and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in four simple steps. Step 1 -HTML and CSS Online Training (*12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. • HTML Essentials (6 weeks) Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. • Learn the Command Line (1.5 weeks), • Learn Git & GitHub (1.5 weeks), • Learn JavaScript (1.5 weeks) Step 3 - Build a Portfolio Website Project (1 week) Additional Courses • AWS Certified Cloud Practitioner We work with you to secure your first role in software development, website administration or programming, with a starting salary of anywhere between £25K - £40k. While working in your first role, we will release your second batch of training which is specifically designed to increase your development knowledge to help you develop your career further to become a software developer. We have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due to the success of this programme and the skills shortage of entry-level development staff, we can guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Enthusiastic about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer.

Electrical Engineer / Field Service Engineer (UPS / Industrial Systems)Field based around London and M4 Corridor: ideally based around London (Slough, Woking, Bracknell, Harrow, Wembley, Luton, Enfield, Harlow, Chelmsford, Epsom, Guildford, Crawley, Maidstone, Basildon, Essex) or surrounding areas£40,000 - £45,000 + 7.5% bonus + £7000 car allowance / company Vehicle + Door to Door + Full Training including at international Manufacturing site + Progression + Overtime + Great Benefits Are you from an Electrical Engineering background looking to join an international market leader who will invest in you to become a go-to technical expert within a highly specialised industry, through leading training programmes across their international manufacturing facilities, allowing you to take the next leap in your career?On offer is the chance to join an organisation with a reputation for developing people's career and being a great place to work, where you will have the opportunity to develop your technical abilities and showcase your skills a specialist within a highly niche sector.This company is a manufacturer of specialist electrical products that are used by large data centres and organisations in the industrial and commercial sectors, such as UPS systems and switchgears. Due to continued success as a market leading organisation, they are looking to strengthen their established team with highly motivated engineers.On offer is a role with specialist training, where you will be field based covering London and the wider M4 corridor. You will be tasked with carrying out service, maintenance and commissioning of electrical equipment, giving training to customers and becoming a technical expert in their line of products.The role would suit someone with a degree in Electrical Engineering who is looking for a field based engineering position, or has commensurate experience in industrial engineering, UPS Systems, Switchgears, or similar.The Role:Door to door travelOvertime availableThe Person:Commercial/ industrial/ UPS experience or relevant*UK Driver's licenseReference Number: BBBH267497To apply for this role or to be considered for further roles, please click "Apply Now" or contact Toby Causon at Rise Technical Recruitment.Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles.The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set. We are an equal opportunities employer and welcome applications from all suitable candidates. Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

Full-Stack Software Engineer Location: Remote (London Office) Salary:£75,000 to £85,000 plus benefits This is an opportunity to join a genuinely forward-thinking tech business working at the intersection of AI, data analysis and modern web engineering. You will play a key role in building products that help customers explore large-scale data in meaningful, intuitive ways while working in an environment that values curiosity, ownership and strong engineering principles. The Company They are a specialist data and technology company operating within the digital advertising ecosystem. Their platform analyses large-scale behavioural and content data to help clients understand online trends and consumer interests. With a small, collaborative engineering team and a growing project pipeline, they offer the chance to work closely with Data Science and Platform Engineering while contributing directly to new applications and product enhancements. The Role • Build and enhance full-stack features across modern frontend applications and Python services., • Develop user-facing web interfaces using React or Vue and contribute to backend services in Python., • Work with SQL to query, optimise and integrate data into user-facing tools., • Support the development of new applications, new features and improvements to existing client-facing products., • Contribute to a major project building a new data pipeline and improving the platform's ability to support ML and AI workflows., • Collaborate closely with Data Science and Engineering teams to bring complex data to life in intuitive interfaces., • Take ownership across the stack, working in an environment where you can influence direction and deliver impactful work. Your Skills and Experience • Strong commercial experience across both frontend and backend development., • Proficiency with React or Vue for building modern web interfaces., • Strong Python skills for backend development and API work., • Confident writing and optimising SQL queries., • Comfortable working in a role with a broad remit across the stack., • Bonus: experience with TypeScript, cloud services such as AWS or GCP, or working in data-rich product environments. What They Offer • Fully remote working, with occasional in-person collaboration in London., • 28 days holiday including bank holidays., • Additional birthday leave plus office shutdown over Christmas where possible., • Auto-enrolment pension, • Opportunity to work on cutting-edge AI and data-led technology., • A collaborative and supportive team culture with room for growth. How to Apply Please apply with your CV to be considered for this opportunity!

Senior Dynamics Developer Home-based with 1 day a month on-site (London) Job Description Nigel Frank International are partnered with an established Dynamics 365 CRM end user who are looking to add a Senior Dynamics Developer to their team to lead design, build and optimisation of their key business systems.They are looking for a proactive individual who can thrive in a collaborative environment and provide technical expertise and leadership to help the business drive their projects forwards. Responsibilities • Deliver high-quality customisations across model-driven apps, including forms, views, command bars, ribbons, and Business Process Flows, • Build responsive, accessible Canvas apps using Power Fx with strong UX and usability principles., • Develop reusable PCF components using TypeScript/React, including dataset and field controls with appropriate testing., • Engineer server-side extensions such as plugins, custom workflow activities, and custom actions in C#, • Shape and query Dataverse data using FetchXML, OData, Web API, and QueryExpression with security-aware filtering., • Integrate Dynamics/Dataverse with internal and external systems using REST/Graph APIs and Azure services (Functions, Logic Apps, Service Bus)., • Manage ALM processes including solution strategy, CI/CD pipelines, versioning, and environment governance in Azure DevOps., • Implement client-side logic using JavaScript/TypeScript for validation, automation, and UI enhancements., • Define and maintain robust data models including tables, relationships, keys, business rules, and data quality standards., • Deep hands-on experience delivering production solutions across Dynamics 365, Dataverse, and the wider Power Platform., • Strong engineering capability in C# (plugins, workflow activities), TypeScript/React (PCF), and Power Fx for Canvas apps., • Proven expertise customising model-driven apps, including UI enhancements, client-side scripting, and Business Process Flows., • Solid background integrating systems using Azure Functions, Logic Apps, Service Bus, and REST/Graph APIs., • Starting Salary - up to £75k, • Flexible remote working model, • Enhanced pension contributions and much more!

AI EngineerSalary: Up to £80,000 + BenefitsLocation: Hybrid - 3 days per week onsite in LondonWorking Hours: Full time - Monday to Friday A globally renowned organisation is seeking an AI Engineer to join a high-performing technology function delivering intelligent, production-grade AI solutions across enterprise environments. This is a hands-on role combining full-stack engineering with advanced AI system development, focused on building scalable, secure and impactful solutions that deliver measurable business value. The AI Engineer role suits an experienced engineer with strong software foundations and practical expertise across Generative AI, Agentic AI and machine learning, who enjoys working closely with stakeholders and contributing to complex delivery initiatives. Responsibilities for the AI Engineer: • Design, develop and maintain end-to-end AI solutions spanning front-end interfaces, back-end services and data pipelines, • Build, optimise and deploy AI and machine learning models ensuring solutions are scalable, maintainable and production-ready, • Deliver Generative AI, Agentic AI and classical machine learning solutions aligned to enterprise requirements, • Integrate AI systems with existing enterprise platforms ensuring stability and seamless operation, • Collaborate closely with data scientists, engineers and business stakeholders to identify opportunities and deliver robust solutions, • Provide technical guidance and mentorship to junior engineers, promoting best practice across AI development, • Lead implementation of engineering standards across AI and ML delivery, • Strong proficiency in Python with extensive experience using AI, ML and NLP libraries, • Hands-on experience working with modern large language models including prompt engineering, fine-tuning and evaluation, • Practical experience with core Generative AI frameworks and agent-based AI frameworks, • Strong experience with MLOps and LLMOps tooling including model lifecycle management, • Proven deployment experience on major cloud platforms including AI and ML services, • Solid foundation in software engineering principles for scalable, production-grade systems, • Experience designing and delivering enterprise AI solutions including RAG-based architectures using vector databases, • Proven experience delivering full-stack AI or ML systems within enterprise environments, • Strong understanding of advanced agent architectures, reasoning systems and autonomous workflows, • Excellent communication and stakeholder management capability AI, Artificial Intelligence

Application Engineer, Cambridge or London (hybrid, 3 days onsite) Avanti Recruitment is partnering with a well-established award-winning AI software company that builds advanced technology used by leading organisations to manage and analyse large volumes of complex documents. Founded over a decade ago, the business combines deep technical expertise with real-world impact, operating at scale with enterprise customers while retaining the pace and agility of a product-led technology company. This is an opportunity to join a growing application engineering team working on production-grade systems at the intersection of software engineering, data, and applied AI. THE ROLE As an Application Engineer, you will work within a cross-functional product team, building and scaling features that are used directly by customers. • Develop full stack features across a large, complex platform, • Work with high-volume, data-heavy systems where performance and scalability matter, • Collaborate closely with product managers, QA, and AI-focused R&D teams, • Take ownership of features from design through to production and iteration, • JavaScript and TypeScript, • Node.js, • Modern frontend frameworks (with an ongoing migration to React), • PostgreSQL, Elasticsearch, Redis, • AWS, Docker, Kubernetes, • Strong academic background in Computer Science, Mathematics, Physics, or a related discipline (1st or 2.1 from a good University), • Typically 3–5 years of commercial software engineering experience, with flexibility for exceptional candidates, • Experience building production software, ideally in a full stack environment

Principal Data Engineer (GCP) Northwest – HybridUp to £100,000 VIQU are seeking a Principal Data Engineer to join a leading social enterprise that reinvests profits to create thriving, sustainable communities. Following a full transition to a 100% cloud-based data platform, this role will play a key part in shaping and leading the organisation’s data engineering capability, with a strong focus on technical leadership, platform design and mentoring engineers within a Google Cloud environment. Key Responsibilities of the Principal Data Engineer: • Provide technical leadership, coaching and mentoring to data engineers, • Define how data engineering projects are approached, delivered and governed, • Work closely with architects to design and evolve the cloud data platform, • Ensure robust, scalable and compliant data pipelines across the platform, • Lead best practices around data ingestion, transformation, quality, security and monitoring, • Drive automation, CI/CD adoption and continuous improvement, • Extensive experience in Data Engineering, with time spent in a Lead or Principal role, • Strong background working in a cloud-native data platform, • Hands-on experience with Google Cloud Platform is highly preferred, with consideration for AWS or Azure alongside some GCP, • Experience with Terraform, Docker and dbt, • Strong expertise in Data Lake / Data Warehouse solutions, • Advanced SQL and Python skills, • Proven experience optimising complex queries, • Strong understanding of Data Governance, including lineage, data legislation and PII, • Experience working within Agile / Scrum and the SDLC Do you know someone great? We’ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on LinkedIn @VIQU IT Recruitment Principal Data Engineer (GCP) Northwest – HybridUp to £100,000

Analytics Engineer (Contract) We're looking for an experienced Analytics Engineer to join on an initial 6 month contract to turn raw data into actionable insights at the heart of a forward-thinking, data-driven organisation. If you thrive bridging the gap between data engineering and analytics, and enjoy working with tools like Databricks, Delta Lake, Spark, and dbt, this is an exciting short-term opportunity. What You'll Do: * Transform raw data into structured, reliable datasets for BI, reporting, and advanced analytics. * Build semantic layers and curated data products for business users. * Collaborate with stakeholders to translate requirements into scalable data solutions. * Ensure data quality, governance, and consistency across platforms. * Optimise workflows, SQL queries, and Databricks pipelines for performance. What We're Looking For: * Strong SQL and data modelling skills. * Hands-on experience with Databricks, Delta Lake, Spark, and preferably dbt. * Python for data manipulation and automation. * Familiarity with BI tools (Power BI) and cloud platforms (Azure). * Understanding of data governance, CI/CD pipelines, and analytics best practices. * Excellent problem-solving, communication, and stakeholder engagement. Why Join: * Contract opportunity at the forefront of a data-driven transformation. * Work with a collaborative, inclusive, and high-impact team. * Hands-on, meaningful work with immediate impact. * Competitive day rate of circa £650. If you have the necessary skills and experience then please apply now! McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Job Advertisement: Electrical/Mechanical Engineer £30,000 - £40,000 per annum, London Overview Are you an experienced Electrical or Mechanical Engineer with a passion for sustainability and innovation? Join a leading consultancy in building services engineering, renowned for delivering cutting-edge, high-quality engineering designs across commercial, residential, and industrial sectors. We are seeking a talented professional to join our team and contribute to our mission of providing best-in-class solutions that exceed industry standards. This is an exciting opportunity to work on diverse projects, manage end-to-end processes, and make a meaningful impact in the field of building services engineering. Benefits We value our team and offer a range of benefits, including: • Competitive salary of £30,000 - £40,000., • Opportunities for professional growth and development., • A supportive and collaborative work environment., • The chance to work on innovative and sustainable projects across various sectors., • Designing and developing innovative electrical systems for a variety of building types., • Conducting site visits to assess existing systems and gather data for project planning., • Collaborating with clients, architects, and contractors to ensure project requirements are met., • Preparing detailed technical reports, schematics, and design proposals., • Ensuring all designs comply with UK regulations and industry standards., • Electrical Design: Develop electrical layouts for commercial and residential buildings, including power distribution, lighting & lighting control systems, and life safety systems., • Site Surveys: Conduct independent site surveys to assess existing systems, gather technical data, and create detailed reports and schematics with actionable recommendations., • System Design: Design lighting, CCTV, telecoms, and fire alarm systems., • Client Liaison: Confidently present design proposals and reports to clients, explaining technical aspects in clear, non-technical terms. Collaborate with developers, architects, contractors, and designers to ensure project success., • Project Collaboration: Work closely with project managers, senior engineers, and other team members to ensure timely project delivery while adhering to safety and regulatory standards., • A degree in Electrical Engineering / Mechanical Engineering or a related field (Master's degree preferred)., • 3-5 years of experience in building services electrical design., • Proficiency in AutoCAD, Trimble, Dialux or Relux, and other relevant design software., • Strong understanding of UK building regulations and standards., • Excellent communication skills, with the ability to present technical designs and reports to clients and stakeholders., • Strong problem-solving skills and attention to detail., • Ability to manage multiple projects simultaneously., • Effective client-facing communication and presentation skills.

Technical Support Analyst - SQL / Applications / Fintech ** Fully remote ** Financial software / Trading / Exchanges / API Join this fast growing Software provider, as a Application Support Engineer looking after users of their software, You'll play a key role in supporting web applications, providing user support, and training new Users on the platform. Perfect for someone who wants to get more hands on, & build up their software experience in Fintech. Key Skills: o Application Support background from a Software or Fintech provider o Excellent communciation skills both written and verbal o SQL and database support experience Starting salary in the region £30-45K + benefits, fully remote, UK based only. Apply now for immediate consideration and interview this week! Technical Support Analyst - SQL / Applications / Fintech Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

DCS Recruitment currently seek an experienced data cabling engineer in Southfields, South West London, on behalf of a national communications contractor. Vacancies: 1 Location: SW18 postcode area Start Sunday 8th February 2026 1 x adhoc night shift Must have experience in data cable and device installation within a retail environment as well as removals, moves, and changes. CAT6/6a data cabling. The successful candidates will: • Hold a valid CSCS/ECS - industry related accreditation is preferred e.g. datacoms, network infrastructure, cabling installer, • Hold a valid IPAF 3a&3b, • Hold a valid UKATA asbestos awareness certificate (can be done online) Call Melanie on (option 2) or submit your cv to receive a call back. DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

RAN Design Engineer - Indoor Solutions (or Indoor/DAS) My client, a leading telecoms company is looking for an experienced RANDesign Specialist - Indoor Solutions. The role is responsible for creating bespoke indoor mobile network (RAN) designs for challenging and high-demand environments such as stadiums, transport hubs, tunnels, buildings, and major events. The role ensures reliable, high-quality 4G/5G service for their customers by delivering accurate, compliant, and timely indoor coverage solutions. Key Responsibilities • Design venue-specific RAN indoor solutions using design standards and processes., • Select appropriate DAS, Neutral Host, Femto, and transmission technologies based on venue capacity, reliability, and cost requirements., • Ensure all solutions use approved products from the NPI catalogue., • Specify 4G/5G indoor solutions across licensed and unlicensed spectrum., • Support network performance investigations related to KPIs or customer complaints., • Maintain compliance with safety, statutory, and regulatory policies., • Continuously improve design methodologies and internal processes., • Contribute to Scope of Works documents for bespoke solutions., • Strong problem-solving abilities and willingness to challenge issues to deliver outcomes., • Effective teamwork and collaboration across geographically dispersed teams., • Broad knowledge of RAN architecture, coverage and capacity planning, and vendor technologies., • Strong communication skills (written and verbal)., • Analytical capability to evaluate data and build clear cases for change or improvement. Mandatory • 5+ years' experience in mobile RAN design., • Experience managing relationships at all organisational levels., • Background in major indoor RAN projects for airports, rail, MoD, ESN, etc., • Experience with RAN upgrades or decommissioning.

Job post summary Date posted: December 1, 2025 Pay: up to £49,500.00 per year (London - up to £53,500) Job description: Earn up to £49,500 | Company Van | WPA Health Insurance | Funded Qualifications What's in it for you Excellent earning potential - Base salary of £40,000 plus performance bonuses of £8,250-£9,500 means you could earn up to £49,500. Real rewards that recognize your technical expertise and the critical work you do keeping people safe. True work-life balance - 40-hour working week, Monday to Friday only. Your weekends are yours. 25 days annual holiday gives you time to properly switch off and recharge. Everything you need provided - Fully-equipped company van to take home, complete uniform and PPE, all tools and equipment supplied. Plus mobile phone and technology. You just bring your skills. Invest in your future - Fully-funded professional training and qualifications. Access to the latest fire safety technologies and clear progression opportunities with established industry leaders. Other benefits include: • Healthcare: WPA Health Insurance coverage, • Professional Support: Company vehicle, uniform, and all necessary technical equipment provided This isn't just another engineering job – it's a career with a company that genuinely values what you do. Your Day-to-Day • Service and maintain fire alarm systems to the highest safety standards, • Respond professionally to emergency service calls, • Plan efficient routes across your designated territory, • Build strong relationships with clients through excellent service, • Keep accurate records and manage your equipment inventory, • Stay current with training and industry developments Essential: • Experience with fire alarm systems and technologies, • Basic FIA/NICEIC/SSAIB/NVQ training, • Valid UK driving licence, • Strong customer service skills, • Good organisational abilities, • Professional communication skills We value a range of qualifications and experience. You might have some or all of these: • ECS/CSCS card, • IPAF certification, • ECS FESS qualifications, • EAL3 in BS5839 Part 1 or Part 6, • 18th Edition Wiring Regulations About Ventro and Firntec We're established leaders in fire safety and building compliance across the UK. Our reputation is built on technical excellence, and we believe our engineers are the foundation of that success. We invest in our people because we know that quality engineers deliver quality results. What Happens Next? If you're an experienced fire alarm engineer looking for a role that truly values your expertise, offers excellent rewards, and supports your career development, we want to hear from you. Apply today and let's talk about your future with Ventro and Firntec. Ventro Ltd values diversity and promotes equality. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. We encourage and welcome applications from all sections of society and are more than happy to discuss reasonable adjustments and/or additional arrangements as required to support your application. Note: Ventro prefer to hire directly and we will be in touch with our PSL Agencies if this role is eligible. We do not accept speculative CVs and no fee will be applicable if sent. By submitting an application you are agreeing to Ventro Group's GDPR Privacy Notice (including data storage). #IVFAE Job Types: Full-time, Permanent Benefits: • Additional leave, • Company car, • Company events, • Cycle to work scheme, • Health & wellbeing programme

Analytics Engineer (Contract)Immediate Start | Competitive Day Rate | UK We're currently working with an AI-first business that is looking to bring on Analytics Engineer contractors for an immediate start. This is a great opportunity to join a fast-paced, data-driven environment where analytics sits at the core of business decision making. The role will involve working closely with senior stakeholders across the organisation to build scalable data models and deliver high-quality analytics solutions. Tech Stack & Experience Essential: * Strong SQL skills * Strong DBT experience * ThoughtSpot for data visualisation * Excellent stakeholder management and communication skills * Confident personality able to operate in a fast-paced, AI-first environment Desirable: * Python * Snowflake * Experience with ETL tools * Exposure to customer data or e-commerce APIs (e.g. Shopify) If you're an Analytics Engineer contractor available immediately and this aligns with your experience, please get in touch to discuss further.

Location: Portsmouth (On Site)Competitive Salary & Package (Dependent on Experience) Career Level: Associate Manager (CL8) Flexibility and mobility are required to deliver this role to deliver the first-class services we are known for. Any offer of employment is subject to satisfactory BPSS and SC security clearance which requires 5 years continuous UK address history at the point of application. This role requires British national only. Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEO. The Network Operations Engineers is accountable for the successful operations and support of the Client Network and underlying infrastructure. The selected individual will be part of a national team providing national and international support to the Accenture Aero & Defence Space client. The Network Engineer’s role is to ensure the stability and integrity of in-house data, LAN & WAN, and wireless network services. This is achieved by planning, designing, and developing local area networks (LANs) and wide area networks (WANs) across the organization. In addition, the Network Engineer will participate with the installation, monitoring, maintenance, support, and optimization of all network hardware, software, and communication links. This individual will also analyse and resolve network hardware and software problems by participation in the client Service Management processes. Ensuring any issues are resolved in a timely and accurate fashion in alignment with agreed SLA’s. Key Responsibilities: o Plan and execute in depth technical activity. o Influencing the direction of activities/plans and providing technical insight and guidance to others. o Investigate and help resolve issues on customer’s network and IT environment and using agreed troubleshooting methodologies. o Manage network support cases to enable fast resolution that exceeds our customers’ expectations. o Ensuring accurate recording of all cases using the Company’s ticket management tool and closing within agreed timeframes. o Using the central document repository, to ensure knowledge sharing across the team and enable best practice. o Supporting and taking ownership of ad-hoc projects to develop the capabilities of the Ideal Service Centre. o Supporting wider team with knowledge share, via knowledge base communications (emails, how-to guides etc.) and contribution at team meetings. o Participation in the on-call and shift rota, this is an onsite delivery-based role. #LI-EU