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A leading global streaming service is seeking a Head of EU Partner Operations to manage partner operations across multiple business lines.The role involves leading a dynamic team, ensuring high-quality delivery of assets, and streamlining processes to enhance customer experiences.Candidates should h

Bonus) Integrate streaming data pipelines using Kafka to support real-time modelling. Exposure to C++, especially in simulation, modelling, or high-performance systems.

Working as part of the internal Creative Agency, the Production Manager will support Advertising Sales, Partnerships and Client Servies in delivering sponsorships and partnerships across the streaming/SVOD portfolio and will lead execution of all internal creative and production elements to deliver

From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. Platform Control are a first line technical support team that ensures that Sky broadcast content is robustly delivered to our customers. With over 2500 colleagues from around the world, we combine our strategi

An innovative AV solutions provider in London is seeking an experienced Audio & Visual Technician to deliver professional AV support across various conference rooms.This full-time position demands expertise in AV technology and the ability to perform under pressure.The ideal candidate will work inde

While they will work on entertainment clients, they are also likely to touch production companies, directors or content creators. Our account directors lead accounts (no surprise there), counseling the client, providing fresh ideas, motivating the team, ensuring goals are being met and…they still

A leading streaming technology company is seeking a Principal Platform Engineer to innovate and lead within their Platform Infrastructure Department.

Join Warner Music Group to lead platform strategy and execution, driving growth across streaming and retail. The Revenue & Growth Team works closely with Atlantic & Warner Records to drive Warner Music UK’s commercial strategy. Platform expertise & guidance: Act as internal subject matter expert o

From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. Sky is looking for an engineer to join the Client Devices Infrastructure Team. And we do it all right here at Sky.

A strong understanding of Sky, a passion for content, and a solid grasp of content aggregation, pay TV, direct‑to‑consumer services, and TV advertising. Work closely with the Directors of Content Partnerships to drive Sky’s largest and most strategic partnerships, including streaming partners,

Senior Vice President and Chief Growth Officer, where she will lead the distribution, acquisition, retention and engagement strategies of SiriusXM’s streaming businesses, reporting to Chief Commercial Officer. Suzi is a dynamic leader who has played a key role in the digital transformation of medi

The ideal candidate has 5-8 years of experience in digital marketing, particularly in the music industry, and a deep understanding of streaming and social platforms. A global music company is seeking a Senior Platform Marketing Manager to enhance artist exposure and drive audience growth. You will l

The role demands a deep understanding of the streaming industry and API-driven web architectures.

How often have you had an opportunity to be at ground zero of a disruptive, fast‑growing, and revolutionary global Amazon service? How frequently do you get to start from the foundation and solve customer needs on a global scale in a fast‑growing entertainment streaming industry? At Prime Video,

Get AI-powered advice on this job and more exclusive features.At DAZN, we’re redefining the way the world consumes sport.With over 2,400 employees across 25 countries, our teams power the world’s largest, fastest-growing sports streaming service.To keep delivering for fans, we need to keep deliv

Prospect and grow pipeline of Ad Networks (sales houses, publishers, streamers, sell-side Ad Tech) seeking to integrate linear and streaming TV data across Europe.

Lead Data Scientist – Peacock Data Science Team. As part of the Peacock Data Science team, the Lead Data Scientist will be responsible for creating recommendation and personalization solutions for one or more verticals of Peacock Video Streaming Service. Experience with multi‑billion‑record da

From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. Working in Tech, Product or Data at Sky is about building the next and the new. And we do it all right here at Sky.

Eeze is a fast-growing iGaming provider looking to expand its operations in the European market.We specialise in developing cutting-edge, web-based online gambling platforms.Our live-streaming products and innovative gaming solutions cater to a diverse global audience.Our mission is to deliver cutti

Data & AI Cloud Architect, AWS Professional Services. Experience in governance, streaming architectures, and Open Table Formats.

A leading streaming technology company in the United Kingdom is seeking a backend developer with expertise in Java and Spring Boot.

An international media company in London is searching for a Financial Analysis and Insights Analyst for a 9 to 12-month contract.

A global media and entertainment company in Camden Town is seeking an experienced Account Director to join its team.The successful candidate will work closely with brands and agencies to develop innovative advertising solutions across digital platforms.Expected qualifications include extensive exper

Experience working with data lakes and data warehouse platforms for both batch and streaming data sources. Minimum 3 years of Java development experience in an Agile environment, building scalable applications and services with a focus on big data solutions and analytics. Experience with big data te

Senior Data Software Engineer (Public Sector Consultancy) Salary: £55 - 72K + Benefits Location: London or Manchester (aligned to office for client on-site requirements) Working Pattern: Hybrid / On-site depending on client needs Security Clearance: DV Clearance required - Can Start With Active SC You will join a people-focused digital consultancy supporting data-driven services across the UK public sector. The organisation values collaboration, inclusion, and work-life balance, and actively supports continuous learning and professional development through access to training, modern engineering tools, and supportive multidisciplinary teams. The consultancy works closely with government departments and public sector organisations to design, build, and operate secure, scalable data platforms that enable advanced analytics, data science, and machine learning. Diversity and inclusion are core values, and hiring decisions are based on skills, experience, and potential. Empowering individuals and building strong teams are central to delivering meaningful outcomes for clients and citizens. This role is suited to Data Software Engineers with a strong technical foundation and an interest in data engineering, data science, and machine learning. You will work within agile, multidisciplinary teams alongside data scientists, platform engineers, and stakeholders to build robust data processing systems in secure environments. Role Responsibilities Design, build, and maintain scalable data processing and integration systems to support data science and analytics workloads. Develop high-quality, well-tested software using a Test-Driven Development (TDD) approach. Collaborate closely with data scientists to enable effective use of data for analytics and machine learning. Build and operate cloud-based solutions, with a strong focus on AWS services. Work with messaging, streaming, or data flow technologies to support real-time and batch data processing. Contribute to infrastructure and platform automation using Infrastructure as Code. Participate in agile ceremonies, technical design discussions, and code reviews. Ensure solutions meet security, performance, and reliability requirements within public sector environments. What You Will Bring to the Team A strong interest in data, particularly data engineering, data science, or machine learning. A solid technical background, with experience in Java, Python, TypeScript, or similar languages. Experience developing software using TDD or a strong willingness to adopt TDD practices. Strong problem-solving skills and the ability to work collaboratively within multidisciplinary teams. Good communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. A proactive mindset with attention to detail and a commitment to quality. Desirable Skills and Experience Senior experience working with cloud platforms, ideally AWS. A strong Linux background. Experience with data integration and messaging technologies such as Apache NiFi, Apache Kafka, RabbitMQ, or similar tools. Experience using Infrastructure as Code tools such as Terraform or CloudFormation. Previous experience working in a consultancy or public sector delivery environment. Familiarity with secure or regulated environments. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason , please let us know when you apply or talk to the recruiters directly so we can support you. TPBN1_UKTJ

Senior Data Engineer (AWS Kafka Big Data) London / WFH to £85k Are you a tech savvy Data Engineer with AWS expertise combined with client facing skills? You could be joining a global technology consultancy with a range of banking, financial services and insurance clients in a senior, hands-on Data Engineer role. As a Senior Data Engineer you will design and build end-to-end real-time data pipelines using AWS native tools, Kafka and modern data architectures, applying AWS Well-Architected Principles to ensure scalability, security and resilience. You'll collaborate directly with clients to analyse requirements, define solutions and deliver production grade systems, leading the development of robust, well tested and fault tolerant data engineering solutions. Location / WFH: There's a hybrid work from home model with two days a week in the London, City office (or at client site in London). About you: You are an experienced Data Engineer within financial services or consulting environments You have expertise with AWS including Lake formation and transformation layers You have strong Python coding skills You have experience with real-time data streaming using Kafka You're collaborative and pragmatic with excellent communication and stakeholder management skills You're comfortable taking ownership of projects and working end-to-end You have a good knowledge of Distributed Systems and DevOps tooling Ideally you will also have Databricks experience What's in it for you: As a Senior Data Engineer you will earn a highly competitive package: Salary to £85k Bonus c15% Pension (up to 7% employer contribution), Life Assurance, Income Protection Private medical care for you and your family, including mental health Travel Insurance Charitable giving Gym membership for you and your family Flexible holiday scheme Apply now to find out more about this Senior Data Engineer (AWS Kafka Python) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values. TPBN1_UKTJ

Are you a Data Engineer passionate about building scalable, cloud-first data platforms that power business insights and innovation? Our client is seeking an experienced engineer to design robust, secure, and future-ready data solutions that support analytics, AI, and strategic decision-making. What Youll Do: Build, test, and maintain ETL/ELT pipelines for structured and unstructured data. Design and optimise data warehouses, lakes, and cloud-native platforms . Implement monitoring, security, and compliance frameworks in line with regulations (e.g., GDPR, financial standards). Deliver high-quality datasets to analysts, data scientists, and business stakeholders. Work with modern technologies, including cloud platforms, orchestration tools, and streaming frameworks . What Were Looking For: Strong SQL & Python skills. Hands-on experience with ETL/ELT tools (e.g., Matillion, Talend, FiveTran, Azure Data Factory). Experience designing and managing cloud data platforms (Snowflake essential; AWS/Azure/GCP desirable). Solid data modelling knowledge and performance optimisation skills. Awareness of data governance, security, and regulatory compliance . Ability to work closely with technical and business teams to deliver impactful solutions. Nice-to-Haves: Orchestration tools (Airflow, dbt, Prefect) or streaming frameworks (Kafka, Kinesis). CI/CD experience and DevOps practices for data workflows. Exposure to data visualisation platforms (PowerBI, Tableau, MicroStrategy). Experience in financial services or other highly regulated industries. TPBN1_UKTJ

Senior Data Engineer (Contract) Location: London (Hybrid) We are seeking an experienced Senior Data Engineer to lead the design and implementation of a cloud-based digital operations system supporting several major infrastructure programmes. This role is central to integrating critical operational technologies into a unified, resilient data platform. Key Responsibilities Architect and implement a scalable Azure data platform, transforming raw operational data into structured, reporting-ready layers. Develop ingestion pipelines for high-frequency time-series and IoT-like data from essential infrastructure systems. Build and maintain cloud data assets using Azure Databricks, Synapse and Data Lake technologies. Deliver real-time data processing using Kafka, Event Hub and Spark Streaming. Establish and maintain data governance, quality frameworks and PHI/PII compliance. Collaborate with stakeholders to design and deploy a Power BI 'Master Dashboard' with DAX and semantic modelling. Required Skills & Experience Extensive experience with Azure Databricks, Azure Data Factory, Synapse and Unity Catalog Strong proficiency in Python, PySpark and Spark SQL Demonstrated experience with high-frequency time-series data Expertise in Star Schema, Snowflake Schema and Lakehouse architectures Experience with Great Expectations, Grafana or similar observability tools Familiarity with CI/CD pipelines using Azure DevOps or GitHub Actions TPBN1_UKTJ

Job Title: Solutions Architect (AI and Automation) Location: Remote (occasional travel to London required) Salary: £75,000 - £85,000 (Depending on location) Would you like to work for an organisation plays a pivotal role in safeguarding and improving the quality of health and social care services across England. My client plays a vital role in improving outcomes across health and social care by using data, technology, and insight to drive meaningful change. With a strong focus on innovation and digital transformation, they are investing in modern cloud platforms, artificial intelligence, and advanced analytics to become a truly intelligence-led regulator. Solutions Architect Responsibilities Design scalable, secure, and ethical AI and data solutions using Microsoft Azure technologies. Translate business requirements into end-to-end solution architecture across AI, machine learning, and data platforms. Maintain architectural blueprints ensuring interoperability, resilience, governance, and regulatory compliance. Lead architecture design reviews and provide technical leadership to delivery teams using Agile, DevOps, and CI/CD practices. Mentor technical teams and promote responsible AI practices, including transparency, fairness, and security. Solutions Architect Requirements Extensive experience delivering solutions on the Microsoft Azure Data Platform (Synapse Analytics, Data Lake, Databricks, Azure ML, Power BI). Expertise in modern data engineering approaches such as ETL/ELT pipelines, streaming, APIs, and event-driven architecture. Experience with cloud-native architectures, microservices, and SaaS integrations. Knowledge of data governance, information security, and AI ethics within regulated industries. Excellent stakeholder engagement and leadership skills. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age. TPBN1_UKTJ

This job is with State Street, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. We are seeking an Analytics‑focused Data Engineer to design and build trusted, analytics‑ready datasets on a modern AWS and Databricks data platform. This role is critical to enabling business intelligence, reporting, and advanced analytics by transforming raw data into well‑modeled, high‑quality, and performant analytics layers. You will work closely with analytics, BI, finance, and product teams to ensure data is easy to consume, well understood, and reliable for decision‑making at scale. Key Responsibilities Analytics‑Ready Data Modeling Design and implement analytics‑optimized data models (fact/dimension, star/snowflake schemas). Build and maintain curated analytics layers (gold tables) in Databricks using Delta Lake. Translate business requirements into clear, reusable datasets for dashboards and reports. Support semantic consistency across metrics, dimensions, and KPIs. Data Pipelines & Transformations Develop and maintain ETL/ELT pipelines using Databricks (Spark SQL, PySpark). Transform raw and intermediate data into clean, documented, and performant analytics datasets. Implement incremental processing, partitioning, and optimization techniques for BI workloads. Ensure pipelines are resilient, observable, and production‑ready. AWS Analytics Platform Leverage AWS services such as S3, Glue, Redshift, Lambda, and IAM to support analytics use cases. Integrate Databricks with AWS storage and security services. Monitor pipeline execution, performance, and cost for analytics workloads. Data Quality, Metrics & Trust Implement data quality checks, reconciliation logic, and anomaly detection for analytics data. Validate accuracy of business metrics used in executive dashboards and reports. Support data lineage, documentation, and metric definitions. Partner with stakeholders to ensure a single source of truth for analytics. BI & Analytics Enablement Support downstream tools such as Power BI, Tableau, or similar BI tools. Optimize datasets for dashboard performance and concurrency. Collaborate with analysts to improve query patterns and data usage. Enable self‑service analytics through well‑designed datasets and documentation. Required Qualifications 5-8+ years of experience in data engineering or analytics engineering roles. Strong experience with Databricks for analytics workloads. Advanced proficiency in SQL (complex transformations, window functions, performance tuning). Solid experience with AWS‑based analytics architectures. Strong experience with data modeling for analytics. Proficiency in Python or PySpark. Experience supporting BI, reporting, and analytics teams. Nice to Have Experience with Analytics Engineering / ELT patterns. Familiarity with dbt or similar transformation frameworks. Experience supporting finance or executive reporting. Knowledge of data governance, metric catalogs, or data discovery tools. Experience with streaming data for near‑real‑time analytics. Exposure to regulated or enterprise analytics environments. About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement ]]>

Audio Systems Engineer A unique opportunity for an Audio Systems Engineer to join a very early-stage London technology company building a next-generation edge device product currently in stealth. Founded in 2024 by an exceptionally experienced team of product designers and engineers, several of whom have previously built and exited companies for significant sums, this is a genuine ground-floor opportunity to shape a product from first principles. This is a small, high-calibre team spanning hardware, embedded systems, software and machine learning. They are building something ambitious, technically complex and product-led, with audio forming a central pillar of the roadmap. Salary: £55,000 to £70,000 per annum + equity + benefits. £55,000 is realistic for someone straight from PhD level with strong relevant foundations. Location: Central London, 4 days per week onsite. Requirements for Audio Systems Engineer: Strong academic or commercial experience in audio DSP and signal processing PhD in Audio Engineering, Signal Processing, Electrical Engineering, Computer Science or similar, or MSc with strong relevant experience Top academics throughout including a 2.1 or 1st degree and at least ABB at A Level Strong programming skills in C or C++ with experience working in real-time or low-latency environments Practical Python experience for analysis, benchmarking and evaluation tooling Experience shipping embedded audio systems or major audio subsystems into production, either commercially or through advanced research Strong fundamentals in DSP blocks such as filtering, AGC, DRC, noise suppression, VAD or echo control Ability to operate effectively in a fast-paced startup environment Strong communication skills and ability to collaborate across hardware, embedded and ML or cloud engineers Willingness to work onsite in Central London 4 days per week Experience in the following would be beneficial: Audio codecs and streaming pipelines such as Opus, AAC, RTP or WebRTC-style systems Hardware-adjacent experience such as I2S, ADC or DAC, DMA, SPI, I2C or UART Experience using oscilloscopes or logic analysers Audio measurement techniques and designing repeatable evaluation methodologies Always-on or low-power audio detection systems Familiarity with ML frameworks such as PyTorch or TensorFlow Experience with GStreamer, WebRTC audio processing, SpeexDSP, RNNoise or similar Responsibilities for Audio Systems Engineer: Design, implement and tune a robust end-to-end audio pipeline from real-time capture on-device through to cloud-based processing Deliver reliable performance in noisy, unpredictable real-world environments Implement and optimise DSP components under tight compute and power constraints Define objective performance metrics and build repeatable evaluation and regression testing harnesses Debug audio issues across the full stack using instrumentation, profiling and lab equipment where required Work closely with ML and cloud engineers to enable audio-driven intelligence via offline and online pipelines Collaborate with cross-functional teams to balance quality, latency, compute, power and system complexity Contribute to engineering best practice, documentation and design discussions as the team scales What the role offers: A genuine greenfield opportunity within a stealth product High ownership and influence over the audio subsystem from day one Close collaboration with an experienced founding team Equity alongside salary The opportunity to build intelligent audio systems that unlock richer data insight than video analytics alone Applications: If you would like to apply for this unique Audio Systems Engineering role then please send your CV via the relevant links. We are committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application, for example due to a disability, please highlight this by separately emailing . If this email address has been removed by the job board, full contact details are available on our website. Keywords: Audio Systems Engineer / Embedded DSP Engineer / Audio DSP Engineer / Signal Processing Engineer / Embedded Software Engineer / Audio ML Engineer / Edge AI Engineer / Real-Time Systems Engineer / Acoustic Engineer / C++ Engineer / Embedded C Engineer / Audio Software Engineer / C / C++ / Python / DSP / AGC / DRC / VAD / Echo Cancellation / Opus / AAC / WebRTC / RTP / I2S / SPI / I2C / DMA / PyTorch / TensorFlow / GStreamer / SpeexDSP / RNNoise / Audio Engineering / Electrical Engineering / Signal Processing / Computer Science / Acoustics RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even if the above role is not of interest, please visit our website to see our other opportunities. We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. TPBN1_UKTJ

Job Title: Azure Senior Architect Description: We are seeking a dynamic technology leader to join our Azure Platform team as a Senior Azure Data Modernisation Architect. This role is pivotal in building, scaling, and delivering Azure Data Modernisation capabilitiesacross EMEA, supporting both internal growth and strategic customer engagements. The architect will be responsible for modernising legacy data platforms into cloud-native, governed, and AI-ready data estates on Microsoft Azure, enabling advanced analytics, real-time insights, and Generative AI use cases. The role combines practice leadership, deep technical expertise, pre-sales ownership, and delivery governance. This position requires close collaboration with sales, delivery, Microsoft, and cross-practice teams and may require up to 50% travel across EMEA . Responsibilities: Azure Platform Strategy and Development: In this role, you will Lead the development of Azure Data Modernisation offerings aligned to enterprise data, analytics and AI transformation. Define end-to-end data modernisation use cases , including data platform assessments, migration from legacy data warehouses, lakehouse adoption, real-time analytics, and AI enablement. Establish reference architectures, accelerators, patterns, and playbooks aligned to Microsoft Cloud Adoption Framework and Data & AI best practices. Drive innovation and thought leadership in AI-ready data architectures, including medallion architecture, data mesh, event-driven data platforms, and unified/real-time analytics. 1.Technical Expertise: Act as a subject matter expert across Azure Data & AI services, staying current with Microsofts evolving roadmap. Guide teams on best practices for scalable, secure, and governed data platforms . Influence platform selection decisions across Microsoft Fabric, Azure Databricks, Synapse, and Azure-native services based on customer maturity and use case. 2.Go-to-market Strategy: Own and evolve the EMEA go-to-market strategy for Azure Data Modernisation capabilities. Partner with Sales leadership to prioritize offerings, vertical plays, and packaged solutions 3.Innovation and Best Practices: Drive adoption of modern data engineering, analytics engineering, DataOps, and MLOps practices. Ensure offerings remain aligned to industry standards, regulatory requirements, and Microsoft Partner expectations . Azure Data Modernisation Sales & Solutioning: In this role, you will partner with TGS Sales team to engage customers, understand business and data challenges and define data modernisation and AI transformation roadmaps . You will also lead technical discovery workshops and executive-level conversations. 1. Solution Oversight & Ownership: Own solution architecture and technical accountability during the pre-sales lifecycle. Ensure alignment of solutions with customer goals, industry standards, and delivery feasibility. 2. Solutioning: Identify, scope, and design data modernisation and AI solutions , including architecture, delivery approach, and effort estimates. Provide thought leadership to continuously improve service capabilities and delivery outcomes 3. Sales Collaboration: You will partner with TEKsystems Sales team to provide guidance on GTM strategy and customer communications, proposals for data-modernisation offerings. Azure Platform Service Delivery In this role, you will work closely and lead TEKsystems delivery teams to ensure customer engagements are delivered seamlessly achieving intended business value. You will provide technical direction as required to delivery teams on customer engagement. 1. Technical Governance & Oversight: As an Azure Sr Architect, you will be responsible for providing oversight to delivery teams and will play crucial role in managing customer expectations and technical escalations if any. Govern delivery quality, ensuring platforms are secure, scalable, compliant, and AI-ready . Provide executive-level guidance ondata platform modernisation, analytics transformation, and AI enablement 2. Delivery Enablement: As an Azure Sr Architect, you will establish an operating model for enterprise customers with the combination of standard processes, best practices, and tools to deliver end-to-end applications and infrastructure solutions safely and at velocity Define operating models for enterprise data platforms including: o Standardised ingestion and transformation patterns o DevOps/MLOps frameworks o Data-quality and observability standards o Governance and lineage frameworks using Purview o High-availability and disaster-recovery architectures Lead and evangelise cloud-native data-modernisation initiatives leveraging Azure Databricks, Fabric, Synapse, and Azure ML. Team Leadership 1. Leadership & Mentoring: As an Azure Sr Architect, you will be responsible to lead, mentor, and develop data architects, data engineers, and analytics engineers across EMEA Support career growth and capability maturity within the Data & AI practice 2. Collaboration and Continuous Learning: Foster a culture of innovation, continuous learning and technical excellence within the team. Maintain alignment with Microsofts evolvingData, Fabric, and AI roadmap 3. Cross-functional Collaboration: Collaborate with cross-functional teams to define data modernization strategies and roadmaps, fostering a collaborative and innovative work environment. Qualifications 1. Education: Bachelors degree in computer science, Information Technology, or a related field. Advanced degrees preferred. 2. Professional Experience: 15+ years of Experience in data, analytics, and cloud architecture . 5+ years leading Azure data-modernisation or analytics-platform initiatives. Proven leadership Experience managing cross-functional data teams. Proven Experience in IT consulting or professional services. Experience building or scaling practice-level capabilities (offerings, IP, GTM) 3. Azure Data Platform and Technology Experience: Deep hands-on and architectural Experience with: Microsoft Fabric (OneLake, Data Engineering, Data Warehouse, Real-Time Analytics, Power BI). Azure Databricks (Delta Lake, Spark, Unity Catalog, MLflow). Azure Synapse Analytics (Dedicated & Serverless SQL) Data ingestion (ADF, Synapse Pipelines, Databricks Workflows). Azure Data Lake Storage Gen2 Strong understanding of Lakehouse architecture, medallion patterns, batch and streaming data processing AI & Advanced Analytics Experience: Des igning AI-ready enterprise data platforms. Experience with: Machine Learning pipelines and MLOps o Generative AI and Retrieval-Augmented Generation (RAG) Vector search and unstructured data analytics o Feature stores and model governance Familiarity with Azure OpenAI, Azure AI services, and responsible AI principles . Data Governance, Security & Operations Expertise in Microsoft Purview for data cataloging, lineage, and governance. Strong understanding of data security, privacy, and regulatory compliance . Experience implementing DataOps, monitoring, and observability for data platforms. Others: Experience with AI/ML platforms (Azure ML, Databricks ML). Scripting Experience (Python,PySpark, SQL). Understanding of real-time data (Event Hubs, Kafka, Message brokers). In-depth knowledge of Azure Services, including Docker, Kubernetes, Cloud Storage and Networking Strong expertise in Continuous Frameworks like Monitoring, Logging, and Security Experience with Infrastructure as code (IaC) tools such as Terraform, Ansible, Azure ARM Strong understanding of IT service management (ITSM) frameworks like ITIL Experience with DevOps tools and deployment patterns Strong understanding of High Availability and Multi Region Architectures Deep understanding of Agile methodology 4. Leadership Skills: Previous leadership Experience in managing and leading cross-functional teams. Demonstrated ability to analyze complex business requirements and translate them into scalable architectures 5. Communication Skills: Excellent written and verbal communication skills Ability to communicate complex technical concepts to both technical and non-technical stakeholders. 6. Continuous Learning & Collaboration: Demonstrated commitment to continuous learning and staying abreast of emerging technologies in Cloud and Cloud services. Experience collaborating with business stakeholders to understand and address their cloud service or data-related needs. 7. Certifications: Preferred certifications include: Microsoft Certified:Azure Data Engineer Associate (DP-203) Microsoft Certified:Fabric Analytics Engineer (DP-600)orFabric Data Engineer (DP-700) Microsoft Certified:Azure Solutions Architect Expert Databricks Data Engineer Professional AI certifications (AI-102, AI-900) are a strong plus. Location London, UK Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. 2876353. Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at . To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to . We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield. TPBN1_UKTJ

Senior Unreal Developer| Luxury Automotive Brand Configurator UK Remote 2-3 Month Contract £500-600 Per Day We're partnering with a studio who are looking for a Senior Unreal Developer to work on an exciting project they're delivering. The project is building a real-time, pixel-streamed configurator for a major luxury automotive brand. Users configure a vehicle via a bespoke app. The system then dynamically converts that specific CAD model into Unreal Engine and pixel-streams it back in real-time for a fully interactive, photorealistic 360-degree experience. What You'll Be Doing The Senior Unreal Developer will join the wider Unreal and asset team to take on the core technical challenges around the dynamic pipeline and real-time performance: Writing and optimising C++ to handle dynamic model ingestion from the external app into Unreal Working with automated CAD-to-Unreal data workflows Authoring shaders and materials to deliver luxury-automotive photorealism Optimising for a smooth Pixel Streaming experience What You'll Need Experience working at Senior Unreal Developer level with strong proficiency with Unreal Engine and solid C++ skills Experience working with CAD data within Unreal Engine Good knowledge of shader programming and high-end material authoring Familiarity with Pixel Streaming and real-time performance optimisation If you're a Senior Unreal Developer and skills and experience align with the role, click apply. TPBN1_UKTJ

A leading event production company in Shoreditch is seeking an experienced live streaming professional. You will deliver technical solutions for live streaming and AV, ensuring top-notch service for clients. Ideal candidates have 2-4+ years in live streaming or event production, with proficiency in

You will design and optimize streaming data solutions using Apache Flink, collaborate with customers, and conduct technical training.

A leading technology company in the UK seeks a Solutions Architect to join their team.This pivotal role involves being the primary technical contact for high-value customers, architecting the integration of technologies, and championing new feature requirements.The ideal candidate should have over 3

A leading sports company is seeking a Staff Software Engineer to lead the development of data streaming for product data throughout its lifecycle.

A leading streaming service in the United Kingdom is looking for a Streaming Operations Engineer to manage global live-streaming operations. The position offers the opportunity to work on cutting-edge streaming solutions. This role involves ensuring smooth execution of live events, optimizing cloud-

A leading technology company in the UK is seeking a Senior Technical Product Marketing Manager to be the technical storyteller for their Unified Streaming Data Platform. The ideal candidate will have 7+ years in product marketing with a strong technical background in streaming data, exceptional comm

A leading media company is seeking a Sales Manager in Greater London to drive sponsorship and partnership revenue across entertainment and streaming platforms.

A leading entertainment company is looking for a technically skilled professional to support global affiliate partners.In this hybrid role, you will collaborate with sales and technical teams to drive integrations, manage projects, and resolve complex advertising technology issues.Ideal candidates s

A leading global media firm is seeking a Reversioning Producer – Türkiye Specialist on a 12-month fixed-term contract.In this role, you will review content for compliance with Turkish regulations before it's released to the market.The ideal candidate will possess native or near-native Turkish flu

A financial technology company in Greater London is looking for a Data Engineer to take ownership of Payment Lifecycle streaming pipelines.

This role focuses on developing strategies for streaming and promotional support, engaging closely with central teams to drive artist success on platforms like Spotify and Apple Music.

A technology solutions provider is looking for a Mid-Senior level developer to work remotely from the UK.The role requires expertise in Scala and AWS, with at least 10-12 years of experience.Responsibilities include designing and maintaining scalable backend services, building event-driven architect

A leading tech recruitment agency is seeking a Kafka/Scala Developer to design, develop, and maintain high-performance streaming applications. You will collaborate with engineering teams to integrate streaming outputs and ensure efficient data processing.

A leading data streaming company is looking for a Technical Support Engineer in Greater London.

Key qualifications include strong data-driven development skills and experience in video streaming platforms.