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Sales & Marketing Trainee New Year, New challenge? Are you looking for new opportunities in 2026? Are you looking for a new career path? Are you prepared to take the lead in 2026 and beyond? At River, we’re not just filling positions for today—we’re building a future where innovation, impact and purpose drive everything we do. We are on the lookout for visionary thinkers who are enthusiastic about advancing our marketing and sales industry into another year of remarkable growth. Whether you’re an experienced professional or an ambitious new-comer, this is your chance to engage in meaningful client projects that push the boundaries of what’s achievable. What You’ll Love About Us: • Training & Support: Comprehensive, around-the-clock training designed to ensure your success., • Enjoyable Work Environment: Connect with new people, attend exciting events, and be part of a supportive team., • Career Advancement: We are committed to developing talent from within. With our clear, structured progression plan, you could reach a leadership or managerial position within just 3-12 months., • Professional Development: Receive training and mentorship from industry experts, including upskilling programs and leadership pathways., • Incentives: Top performers can enjoy weekly team nights, road trips, city breaks, and holidays ( we seen Athens, lake district, Dubai - just to name a few!), • Competitive Base Salary + Commission: Earn more based on your performance., • Flexible Schedules: We offer part-time and full-time hours to suit your lifestyle. The ideal candidate will have: • Excellent Communication Skills: Friendly, outgoing, and confident when engaging with others. • A genuine passion for sales, marketing, and customer engagement. - A proactive mindset focused on continuous improvement., • Self-motivated and eager to learn, thriving in a fast-paced environment., • A collaborative team player with a positive attitude and readiness to embrace new challenges., • Sales Experience: Prior experience in sales, retail, or customer service is preferred but not necessary., • Passion for Sales: Enthusiasm for our client's brand and a desire to share it with others., • Self-Motivated: Capable of working independently, taking initiative, and achieving sales targets., • Adaptability: Comfortable in diverse work settings. Responsibilities as our ... • Lead Generation and Client Acquisition: Identify and pursue clients through sales with a targeted outreach., • Sales Strategy Development: Develop and execute sales to meet or exceed revenue targets and KPI’s, • Relationship Management: Build and maintain strong, long-lasting client relationships, ensuring satisfaction and repeat business., • Negotiation and Closing: Prepare and present proposals, negotiate terms, and effectively close deals., • Brand Development: Increase brand awareness by delivering our clients' missions in alignment with company values., • Team Collaboration: Work closely with our sales and marketing teams to ensure marketing efforts align with business objectives., • Represent River: Attend events, trade shows, and networking opportunities. FULL TIME: 9 AM - 5 PM, MONDAY TO FRIDAY PART TIME: 9 AM - 5 PM, MINIMUM OF 3 DAYS PER WEEK (Optional Saturday) Are you ready to make 2026 the year you turn ambition into action? Apply with River today and take the first step towards a career where your long-term vision meets opportunity.

We are partnering with a fast-growing SaaS company to hire a Lead Data Engineer who will help shape and scale their next-generation data and analytics platform. This role sits within a modern data function where engineering, analytics, and product work closely together. The Lead Data Engineer will guide a small team, own the full data lifecycle, and deliver trusted, high-performance data products that support customers and internal stakeholders. It’s a hands-on leadership role with strong technical influence — ideal for someone who enjoys building scalable pipelines, improving data quality, and shaping the direction of a growing platform. What You’ll Be Doing • Leading a small team of data engineers and analysts to design, build, and maintain scalable data solutions., • Owning the end-to-end data lifecycle — from ingestion and transformation through to analytics and data product delivery., • Architecting and operating pipelines using Databricks, Spark, and Delta Lake, ensuring performance, reliability, and cost-efficiency., • Working closely with BI developers and analysts to deliver dashboards, extracts, datasets, and APIs that power customer insights., • Shaping platform architecture and setting technical direction for data engineering best practices., • Driving improvements in data quality, lineage, governance, and observability., • Playing a key role in data DevOps, CI/CD, testing, and cloud operations., • Partnering with product and engineering teams to align work with the platform roadmap., • Overseeing operational monitoring and support for the data platform., • Promoting a learning culture in the team and encouraging experimentation with new tools and approaches., • Mentoring team members and supporting their development. Skills & Experience Required • Experience leading or mentoring data engineering teams within a SaaS or product-led environment., • Deep hands-on knowledge of Databricks, Apache Spark, and Delta Lake, including large-scale or near real-time workloads., • Strong proficiency in Python, SQL, and cloud data services (Azure preferred, but any major cloud is fine)., • Experience designing and operating end-to-end data and analytics architectures., • Good understanding of BI tooling (e.g. Power BI, Tableau) and analytics modelling., • Strong grasp of ETL/ELT orchestration, data quality frameworks, and observability tooling., • Familiarity with governance practices including lineage, cataloguing, and data integrity standards., • Awareness of data security, access controls, and compliance considerations., • Experience with CI/CD, infrastructure-as-code, and cost-optimised cloud engineering., • Confident communicator, comfortable working with both technical and non-technical teams., • Naturally curious and motivated by delivering new insights and data products using modern tooling. Why This Role? • Chance to lead and grow a talented team while remaining hands-on technically., • Ownership of a modern data platform with strong influence on architecture and future direction., • Opportunity to deliver customer-facing data products with real business impact., • Collaborative environment with the freedom to innovate and use emerging technologies.

One of our International customers is now has a new opportunity for a Senior AWS Technical lead The initial contract will be for 12 months with a possible extension. Project Details : • Role: Senior AWS Technical lead, • Location: Glasgow, 2 days per week, • Start: ASAP or 1st Dec, • Duration: 12 months Contract, • Capacity: Full-time, • Contract: Inside IR35 Skills Required • Strong hands-on data engineering experience delivering production-grade solutions., • Strong SQL and programming (Python/Pyspark preferred); capable of building reusable and scalable code., • Strong Experience in Databricks development/migration, • Experience with Apache Spark, Databricks Delta Lake, Unity Catalog, and MLflow., • UI development experience as must along with AWS CloudFormation. Let's connect for more details. You can apply on the job post or send me your most updated CV to

Job Title: Artificial Intelligence Engineer (Databricks) Rate: DOE (outside IR35) Location: Remote Contract Length: 6 months A consultancy client of ours have secured a project requiring a Databricks focused Artificial Intelligence Engineer. This is an exciting opportunity to work on cutting-edge machine learning projects, building scalable ML pipelines and cloud-based systems that deliver real-world impact. Key Responsibilities: • Lead the design, development, and optimisation of scalable machine learning workflows using Azure Databricks, • Build and deploy robust ML pipelines leveraging Delta Lake, MLflow, notebooks, and Databricks Jobs, • Apply advanced knowledge of Databricks architecture and performance tuning to support production-grade ML solutions, • Collaborate with data scientists, data engineers, and analysts to operationalise machine learning models at scale, • Champion the use of Databricks-native features (e.g., Unity Catalog, MLflow Model Registry, AutoML) to improve model lifecycle management, • Migrate legacy model training and scoring workflows into unified Databricks-based pipelines, • Ensure best practices in model reproducibility, governance, monitoring, and security within the Databricks environment, • Act as a subject matter expert on Databricks ML capabilities, advising on architecture, tools, and integrations, • Mentor peers and junior engineers on ML engineering practices, with a focus on MLOps and Databricks workflows, • Continuously improve the machine learning platform, tooling, and deployment practices to accelerate delivery Experience and Qualifications Required: • Deep hands-on experience with Azure Databricks, particularly in developing and deploying machine learning solutions using Delta Lake, MLflow, and Spark ML/PyTorch/TensorFlow integrations, • Strong programming skills in Python (including ML libraries like scikit-learn, pandas, PySpark) and experience using SQL for data preparation and analysis, • Experience orchestrating end-to-end ML pipelines, including data preprocessing, model training, validation, and deployment, • Solid understanding of MLOps principles, including model versioning, monitoring, and CI/CD for ML workflows, • Familiarity with Azure cloud services, including Azure Data Lake, Azure Machine Learning, and Data Factory, • Experience with feature engineering, model management, and automated retraining in production environments, • Knowledge of data governance, security, and regulatory compliance in the context of ML workflows, • Strong problem-solving skills, with the ability to debug and optimise distributed ML pipelines, • Proven track record of delivering machine learning models in production within enterprise-scale environments, • Excellent communication and collaboration skills, with experience engaging both technical and business stakeholders, • Experience mentoring others and promoting best practices in ML engineering and Databricks usage If this sounds like an exciting opportunity please apply with your CV.

Plan B Talent Ltd is excited to be supporting a fast-growing organisation on a significant data transformation journey across the UK & Ireland. We’re seeking a talented Senior Data Engineer who can deliver high-quality technical solutions today, while also having the ambition and capability to develop into a more strategic leadership role in the future. This position offers a rare opportunity: once the data and technology foundations are fully established, the role has the scope to evolve into a Head of Data–style position, shaping data strategy and influencing decision-making at a senior level. The Role In the near term, your focus will be on designing, building and optimising Azure-based data pipelines, datasets and reporting foundations. You’ll work closely with Sales, Finance, Procurement and Business Performance teams to convert business requirements into robust, scalable data outputs. You’ll also collaborate with a wider European data community to ensure alignment with a broader Data Factory Architecture, supporting shared assets, automation and dashboard development. As the organisation’s data capabilities mature, you’ll have the opportunity to shift into a more strategic role—taking greater ownership of data direction, standards, governance and long-term vision. Key Responsibilities • Develop, maintain and optimise Azure data pipelines, dataflows and integrations aligned with a modern European data architecture., • Build and refine datasets used across CRM, supplier and financial systems, ensuring accuracy, consistency and usability., • Translate business requirements into well-structured data models in partnership with cross-functional teams., • Develop and maintain semantic models and datasets for Power BI, ensuring consistency of KPIs and reporting definitions., • Work closely with European data engineers and analysts to industrialise dashboards, automation and shared data assets., • Monitor data quality and performance, proactively resolving issues and driving continuous improvement., • Contribute to data process documentation, lineage tracking and best-practice development. Skills & Experience • Significant hands-on experience as a Data Engineer, BI Developer or similar technical role in a data-driven environment., • Strong proficiency with Azure data technologies such as Data Lake, Databricks, Data Factory, Azure Functions (or similar)., • Excellent SQL skills, with experience building and optimising queries, stored procedures and data transformations., • Experience preparing models and datasets for Power BI., • Strong understanding of data quality, metadata, lineage and general data management principles., • Confident working with stakeholders at all levels, able to translate between technical and non-technical audiences., • Delivery-focused, pragmatic and effective in a matrix environment., • Ambitious, with the desire to develop into a more strategic, leadership-oriented role over time. Career Development Opportunity This role is ideal for a technically strong Data Engineer who enjoys delivery and stakeholder engagement but is also looking for a long-term career path. As the organisation’s data landscape matures, there is genuine progression into a strategic role, with responsibility for shaping data vision, governance, and enterprise-wide data strategy. At Plan B Talent, we are committed to creating an inclusive, equitable, and diverse environment for all our clients, candidates, and employees. We believe that diversity in all its forms, including but not limited to race, gender, age, sexual orientation, disability, socio-economic background, and cultural identity, is a powerful driver of innovation, success, and growth. We welcome conversations to discuss adjustments that might be needed as part of the application or interview process.

About Us At Ingentive, we are a Microsoft Elite Partner recognised as one of the Great Places to Work, and proud to hold all seven Microsoft solution designations. As a member of the Microsoft Inner Circle, we rank in the top 1% of partners globally, and were recently named Microsoft’s #2 enterprise partner for driving advanced agentic AI transformations. We specialise in transforming business systems through AI-led application development and process optimisation, with a strong focus on both Power Platform, the Dynamics 365 stack for CRM and ERP. Our mission is to help organisations unlock value by combining intelligent agents, natural language interfaces, and low-code platforms to build scalable, governed solutions that solve real business challenges. Award-winning and innovation-driven, we are at the forefront of the shift from traditional low-code to intelligent business applications empowering fusion teams to deliver faster, smarter, and more impactful outcomes. The Role You will be part of the Pro code and Big Data division and reports to the Solution Architect. You will provide technical analysis, design, and development experience for both Ingentive and its clients. You will have the ability to prioritise tasks, communicate clearly, have a consistent track record of delivery and proven excellent software engineering skills. You must be able to work across multiple areas of a project and manage various responsibilities at the same time. You will also commit to agreed deliverables and schedules. Essential Expertise • Experienced in .NET development and AI technologies., • Proficiency in using AI Foundry and advanced copilot tooling., • A track record of performing Code QA and pull requests for AI and .NET solutions., • Capable of engaging in the software development project lifecycle from pre-sale to production., • Validating AI and .NET development requirements to ensure they are fit for purpose and provide optimal solutions., • Estimating development requirements for AI and .NET deployments., • Hands-on experience with AI integration protocols and .NET frameworks. Desirable Expertise • Experience with the creation of Proof of Concepts (POCs) for pre-sales and on-project deployments., • Experience developing and validating Azure iPaaS components for integration purposes., • Expertise in extending AI functionality and a solid understanding of AI frameworks., • Proficiency in Microsoft SQL Server, including designing, querying, and optimizing databases to support AI and .NET solutions., • Familiarity with Microsoft Fabric, including Data Lake and Synapse integration for AI-driven reporting solutions (DP-100/DP-700), • Relevant Microsoft AI certifications/training (AI-102/AI-900/DW-104)., • Experience designing and deploying AI-powered dashboards using Power BI., • Understanding of data modelling and semantic layer design to support intelligent analytics., • Ability to integrate AI outputs into reporting pipelines for real-time or predictive insights., • Knowledge of DAX and Power Query in the context of AI data visualization. Objectives and Responsibilities On a daily basis, your varied role will include, but is not limited to: • Collaborating with cross-functional teams to validate and estimate development requirements., • Developing, testing, and deploying AI and .NET solutions and customizations., • Assisting with pre-sales activities, including POCs and client presentations., • Performing Code QA, ensuring adherence to quality standards and best practices., • Developing robust and efficient code patterns and business logic for seamless AI and .NET operations., • Any other duties as required by your manager. Quality Measures Your performance will be measured against the achievement of the objectives and responsibilities listed above, including: • Ensuring high levels of client satisfaction by maintaining excellence in communication and delivery., • Meeting development deadlines and project milestones., • Demonstrating behaviour aligned with the company values of Passion, Performance, and Partnership. Behaviour in Line with Company Values • Passion: Exhibit enthusiasm and commitment to achieving excellence in your work., • Performance: Deliver solutions that meet or exceed client expectations, focusing on measurable outcomes., • Partnership: Foster collaboration with team members, clients, and stakeholders to build strong and enduring relationships. Teammates’ benefits: • Bonus Schemes, • Life Assurance, • Private medical cover, • Group income protection, • Great Company Pension, • Enhanced Sick Pay, • Enhanced Family Leave Pay, • Volunteering Leave, • Teammate recognition scheme, • Loyalty award scheme, • 24/7 access to EAP including Wisdom AI app, • Access to Bright Exchange Online marketplace, • Remote working with the option to work from our Central London Office Our Purpose and Values Vision - Empowering enterprises to their full potential with intelligent Microsoft solutions Mission - Rapidly delivering intelligent Microsoft technology solutions Values – Passion, Performance, Partnership Successful applicants must have the right to work in the UK and a basic DBS check is required for this position. Ingentive are committed to equality of opportunity, diversity and inclusion. We welcome applications from all suitably qualified candidates. As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible.

Senior Azure Data Engineer Remote Working £85,000 + Benefits We’re looking for a Senior Azure Data Engineer to help design and deliver modern, scalable data solutions for enterprise customers. You’ll work hands-on across cloud-native architectures, building high-quality data products and helping organisations make better decisions through clean, reliable, well-structured data. In this role, you’ll partner with stakeholders to understand business needs, develop robust data pipelines and platforms, and enable customers to truly unlock the value of their data investments. This is a great opportunity to contribute to standards, influence best practice, and shape real delivery outcomes. How your day will look: • Collaborate with customers to capture requirements and design data solutions that drive measurable outcomes., • Improve the way organisations create, govern, and manage their key data assets., • Build cloud-native data products using modern Azure services and engineering patterns., • Design and implement data lake architectures that connect, transform, and leverage internal and external data., • Support full delivery cycles, from prototyping and testing through to deployment and launch., • Produce technical documentation to support data platform design and long-term operation., • Help refine and evolve engineering principles, development standards, and best practice. Skills & Experience: • Hands-on experience with Azure data services such as Data Factory, Databricks, Data Lake, Azure SQL, Synapse, Data Catalog, and Purview., • Strong Python and SQL skills for transformation and pipeline development., • Solid understanding of Azure data storage/warehouse technologies including SQL MI and Synapse., • Familiar with DevOps ways of working, including CI/CD and IaC (e.g., Bicep, Terraform)., • Experienced working in Agile teams, using Azure DevOps for collaboration and delivery. Desirable: • Experience with Azure tooling for infrastructure provisioning and monitoring (e.g., Terraform, ARM, Policy, Monitor, Log Analytics). Why Join? • Play a key role in designing and delivering high-impact Azure data solutions., • A collaborative culture that values innovation, technical excellence, and professional growth., • Opportunity to influence engineering direction, tooling, and best practice., • Competitive salary and benefits package. If you’re a Senior Azure Data Engineer passionate about delivering modern cloud-first data platforms, we’d love to hear from you. 🌳🌳🌳 Areti Group – Climate positive tech recruitment 🌳🌳🌳 We’re on a mission to put people and the planet before profit, leaving the world in a better place than we found it.

Power BI Developer * Central Government Experience is Essential** Rate: £480/day (Inside IR35) Duration: 3 months to begin with (expected to me 18 month project) Location: Remote Start: ASAP * Central Government Experience is Essential** Overview We’re looking for an experienced Power BI Developer to join a central government client. The role will focus on building, optimising, and maintaining interactive BI dashboards and data models that deliver actionable insights to senior stakeholders across departments. Key Responsibilities • Design, develop, and deploy Power BI reports and dashboards aligned with departmental KPIs and operational needs., • Transform, cleanse, and model complex datasets from multiple sources (SQL Server, Excel, SharePoint, APIs, etc.)., • Implement DAX calculations and data visualisations following best practices for usability and performance., • Work closely with analysts, data engineers, and business leads to gather requirements and ensure data accuracy., • Optimise Power BI dataflows and dataset refresh performance., • Ensure compliance with Government Digital Service (GDS) and data governance standards., • Support documentation and knowledge transfer to internal teams. Essential Skills & Experience • Proven experience as a Power BI Developer within central government or wider public sector environments., • Strong knowledge of Power BI Desktop, Power Query (M), and DAX., • Proficient with SQL and relational databases., • Experience integrating data from multiple structured/unstructured sources., • Familiarity with Azure Data Services (Data Lake, Synapse, or Data Factory)., • Understanding of data governance, information security, and GDPR in government contexts., • Excellent communication and stakeholder management skills. Apply now or email for more information

• Data Scientist, • Initial 6-month contract, • £475 to £500 per day, • Outside IR35, • Remote Working (+ occasional site visits) The Opportunity ISR are supporting a major UK Government Agency seeking an experienced Data Scientist to help shape and expand their data and analytics capabilities. You’ll play a key role in designing and delivering advanced data models, integrating new sources of information and applying modern AI and machine learning techniques to solve real-world challenges. This role is ideal for someone who thrives at the intersection of data science, analytics, and public sector transformation, helping to deliver better outcomes for the general public through data-driven insights. NB: Candidates must be eligible for BPSS security clearance which will be processed following successful interviews (normally takes between 7 and 14 days). Skills and Experience • Proven experience in data science and analytics, ideally within government or regulated sectors., • Strong proficiency in Python (and/or R) with deep understanding of statistical modelling and machine learning., • Experience with Azure Machine Learning (AML), Azure Data Factory, and the broader Azure data ecosystem (Data Lake, Synapse, Analysis Services)., • Expertise in Natural Language Processing, clustering algorithms, text embeddings, LangChain and LLM deployment., • Strong knowledge of data visualisation tools such as Power BI, DAX and Power Query., • Experience in data pipeline automation and data governance in large-scale environments (Desirable)., • Familiarity with modern AI frameworks and open-source toolkits (Desirable). Role and Responsibilities • Design and implement data models and pipelines to support advanced analytics and reporting., • Apply machine learning, natural language processing (NLP), and AI models to derive meaningful insights from complex datasets., • Work closely with Data Engineers, Software Developers, and Analysts to build and optimise data workflows., • Integrate multiple data sources, ensuring data quality, consistency and alignment with government standards., • Support the design, validation, and continuous improvement of analytical models, contributing to long-term data strategy. Applications: Please call Edward here at ISR on 07436 071 872 to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?

Data Engineer (Senior) – UK Remote Package - Competitive (We can look at all levels here) We are looking for a Senior Data Engineer to help shape and mature our data platform. You will work alongside our existing Data Engineer and collaborate closely with Data Science and Analytics teams to bring structure, best practices, and scalable data engineering design into our environment. This role is ideal for someone who has helped organisations move from fragmented or legacy data processes to structured, observable, and scalable modern data pipelines. Key Responsibilities • Design, build, and maintain production-grade ETL/ELT pipelines to integrate and transform data into a centralised data lake / feature store., • Assess and enhance our on-premise SQL and data lake environment, introducing standardisation, testing, observability, and automation., • Collaborate with Data Science and Analytics teams to ensure clean, reliable data supports modelling, reporting, and operational use-cases., • Implement and maintain orchestration frameworks (e.g., Dagster, Airflow, Prefect)., • Develop and maintain complex data processing systems (e.g., event streaming, usage rating, CDR flows)., • Advocate for good engineering practice: version control, documentation, reproducibility, modularity, and scalability., • Communicate technical concepts clearly to both technical and non-technical stakeholders., • Help define “what good looks like” in modern data engineering within the organisation. About the Environment • Primarily on-prem, containerised compute workloads., • Transitioning from legacy workflows to Python-first, modern data engineering., • Mix of SQL Server databases and distributed or unstructured data sources., • Strategic direction is the build-out of a Data Lake Feature Store., • Collaborative data function including a Data Science Manager, Data Scientists, Senior Analysts, and Data Engineering. What You Bring • Advanced experience in Python and SQL, • Strong experience building ETL/ELT pipelines and data transformations, • Hands-on experience with orchestration frameworks (Dagster, Airflow, Prefect, dbt), • Ability to analyse and structure complex datasets, • Strong communication skills with both technical and non-technical colleagues Desirable • Experience with Spark, Dask, or Polars, • Experience with containerisation (Docker, Swarm, Kubernetes), • Additional programming languages (R, PHP, Go) Qualifications • Bachelor’s or Master’s in Data Engineering, Computer Science, Applied Mathematics, Physics, or similar technical field., • 3+ years’ experience in data engineering or similar computational/data-intensive roles. Note: Ideally, we are looking for someone more Senior/Managerial level, but we can also entertain solid Data Engineering prospects of all levels. If you’re interested to know more apply today for immediate consideration.

Databricks Engineer - SC Cleared Fully Remote Duration: 6 Months Location: London Rate: £500-£550 per day (Inside IR35) Start Date: ASAP Are you an SC Cleared Databricks Engineer with a passion for building scalable data solutions? Do you have extensive experience in designing and optimising data pipelines, cloud-native platforms, and advanced analytics ecosystems? We are working with a leading multinational client seeking a skilled Databricks Engineer to drive innovation and enable data-driven decision-making, advanced analytics, and AI capabilities. The successful client will be responsible for designing, developing, and optimising data pipelines and analytics solutions using Databricks within a secure environment Critical Skills • Extensive experience with Databricks (Spark, Delta Lake, and MLflow)., • Proficiency in ETL/ELT development and orchestration tools (DBT, Airflow, or similar)., • Hands-on experience with cloud platforms (AWS, Azure, or GCP)., • Solid understanding of SQL, Python, and PySpark for data processing., • Familiarity with CI/CD pipelines and DevOps practices for data solutions. You will be collaborating with a variety of data specialists. The role will require you to maintain a passion for solving complex data sets, spearheading innovation whilst ensuring efficient delivery of data solutions. If this looks like the role for you, apply now and get in touch.

An established health and wellbeing organisation is expanding its data function and seeking a hands-on Data Engineer to help develop and maintain robust data infrastructure. You’ll work on a wide range of projects supporting analytics, reporting and client delivery. Key responsibilities • Design, build and maintain reliable data pipelines and integrations across multiple systems., • Develop and optimise data models to support reporting, dashboards and KPIs., • Build and maintain Power BI dashboards and automated data flows., • Collaborate with product, engineering and business teams to deliver high-quality, usable data., • Support the development of a centralised data warehouse and data lake., • Uphold data quality, governance and documentation standards. Tech environment SQL Server, Azure Data Platform, Power BI, Azure Fabric, Cosmos DB, APIs, and third-party integrations. Profile • Strong SQL and data modelling experience., • Proven background in data engineering within Microsoft-based environments., • Comfortable interpreting and transforming large, complex data sets., • Clear communicator who can explain data insights to non-technical stakeholders., • Hands-on problem solver who delivers reliable, production-ready solutions. Details • Full-time, home-based across the UK., • Salary up to £60,000 depending on experience. Interested, or know someone who would be? Click apply or get in touch directly on

About the job Location - Remote or our office in the Lake district Role - Full time - Third party ski school sales Salary - £25,400 annually Start date - ASAP Maison Sport is revolutionising the way ski & snowboard instructors work around the world, whilst dramatically improving the customer experience in finding and booking an instructor. Objective: Recruit ski schools to join Maison Sport on an exclusive basis in resorts across Europe, with a focus on Austrian resorts Your job will be to sign ski school’s up to Maison Sport's innovative platform, from cold outreach, to negotiating a contract, through to on-boarding them onto the platform. We’re looking for an outgoing individual that has a passion for building and maintaining strong relationships and a native level of spoken and written German and English The role will involve you working within our Instructor Community team, cold calling or using yours or our extensive network, to reach ski school directors. In person meetings in ski resorts will be required at times, and so you should be willing and happy travelling across Europe on your own or in a team. Once the prospective ski school has indicated they are interested in joining, you will guide them through the contract and onboarding phase, ensuring they become a revenue contributor to the business. Required skills: • German speaker, • Knowledge of the Austria ski market (Preferred), • Experience in a sales focused role, • A passion for providing excellent service., • Excellent communication skills., • Skiing/snowboarding experience (any instructor qualifications are a big plus). It is essential you have the mind-set of an eternal learner, willing to always improve your knowledge. The current team as a whole are driven to succeed and we have created an environment where our team can follow their passions.

Qualification The Solutions Architect role at Impetus is critical, as we design cutting-edge solutions for some of the biggest global enterprises. Our SAs drive customer success by aligning business goals with IT services, software products, platforms, and infrastructure. They are creative problem solvers who collaborate closely with clients to understand challenges and architect solutions that address them. In a rapidly evolving technology landscape filled with countless tools and platforms, SAs play a vital role in helping customers make the right technology choices, ensuring both immediate and long-term success. The Skills You’ll Need: • Experience in architecture & design and consulting services focused on enterprise solutions, data analytics platform, lake houses, data engineering, data processing, data warehousing, ETL, Hadoop & Big Data., • Experience in defining and designing data governance, data management, and data security solutions for an enterprise across business verticals, • Experience on at least one of the 3 major cloud platforms- AWS, Azure, GCP, • Knowledge of GenAI technologies, including LLMs (Large Language Models), generative models, and related frameworks (e.g., LangChain, TensorFlow, etc.), • Possess knowledge of cloud-based AI/ML services like AWS SageMaker, Azure Machine Learning, Google AI Platform, Databricks GenAI/BI, Snowflake GenAI, and their relevant services for building and deploying GenAI workloads., • Knowledge of market insight, technology trends, and competitor intelligence, • Exceptional customer orientation and consultative Skills., • Excellent communication (verbal and written), interpersonal, organization, documentation, and presentation skills (to executive-level staff and to large groups), • Able to make decisions on technical and design tradeoffs to best meet customer’s needs., • Active passion and experience in innovative technologies., • Must be a self-starter, results oriented and flexible to adapt to ambiguities and changes., • Open to frequent travel to meet with customers and attend internal and external events across the Americas and Europe. Skills Required: Data Warehousing, ETL, Big Data, Presales Role: At Impetus, you will operate at the intersection of business and engineering, engaging with engineers, managers, sales teams, and C-level executives—internally and on the client side—to create a shared understanding of business objectives and how the proposed solutions will achieve them. Your ability to bridge the gap between technical and strategic decision-making ensures that our solutions not only solve current challenges but also drive long-term growth and innovation. • Work closely with customers to understand their business needs and challenges, translating them into actionable solutions., • Lead onsite workshops with customers to design & develop prototypes in collaboration with engineering teams., • Develop overall solutions, including architecture, high-level design, statements of work, service design, and bills of materials., • Present Impetus products and services capabilities to prospects & partners and be their trusted technical solution advisor., • Develop use case demonstrations and proofs of concept in collaboration with sales, customers, and Impetus implementation teams., • Lead technical responses to RFI/RFP., • Create thought leadership through presenting at conferences, summits, and events, writing, user group presentations, and community involvement., • Stay abreast of technology developments relevant to Impetus and its competitors, the latest advancements in GenAI research, and industry trends, contributing to the company's GenAI strategy., • Provide knowledge transfer to the delivery teams to ensure a smooth handover from presales to delivery.

We are seeking a Data Engineer to join our solution engineering team. Practising a hybrid model, the role will combine opportunities for both remote and on-site work. The role will expose you to working with global clients and cutting-edge data technologies. If you're passionate about data, thrive in solving complex challenges, and have experience managing workloads, we want to hear from you! About the Role We are looking for a Data Engineer, who is curious about technology and suited to using a variety of tools and frameworks to solve data related problems. The ideal candidate would have 2 years of experience in a similar role. The person should have a problem-solving mindset with a strong hands-on attitude who is looking to execute day to day tasks to support the different clients and project. The candidate would like to work in a creative and varied environment, focusing on performance, using the latest technologies. Key Responsibilities • Configure and customise Redslim tools to meet specific client requirements, developing reusable components and ensuring seamless integration with existing systems., • Design, implement, and maintain data integration code based on Python and PySpark, actively engaging in feedback loop with core product team and contributing to maintenance and evolution of Redslim tools., • Develop and implement automated workflows using Artificial Intelligence and conventional software logic., • Optimise and manage job tasks, Unity Catalog tables and other Databricks services., • Develop and execute unit and integration tests to ensure data quality and pipeline reliability., • Research, suggest, and implement best practices and usage of any relevant technology / tool in line with modern industry standards., • Oversee data governance and security, including implementing data access controls, ensuring data privacy, and adhering to company policies. What We’re Looking For: Technical Skills: o Proficient in Python and PySpark with at least 2 years of experience developing and optimizing data pipelines. Demonstrated ability to write clean, efficient, and well-documented code with experience in library-oriented development, creating reusable functions and modules. o Strong SQL skills for data querying and transformation. o Experience with Azure cloud services. o Experience with Databricks, including Delta Lake, Spark SQL, and Unity Catalog. Ability to optimize Spark jobs for performance and scalability. o Experience with Azure DevOps for CI/CD. o Knowledge of data modeling and data warehousing principles. o Experience with other data processing technologies (e.g., Snowflake, DuckDB). Desired: o Experience developing and implementing tools using AI (e.g. with Microsoft’s Agent Framework). o Familiarity with data visualization tools (e.g., Power BI, Tableau). Mindset: • Passion for continuous learning and adopting new technologies., • Exceptional communication skills and ability to collaborate across teams., • Thrives in a fast-paced, flexible environment., • Ready to occasionally travel for client and team meetings., • English is our working language. Spanish and or French would be an advantage. Why Join Us? • Fresh, Agile, Entrepreneur environment with direct and full exposure to corporate initiatives., • Full on-boarding training and on-boarding plan., • Flexible work environment within a cohesive and collaborative team., • Competitive package commensurate with experience., • Exposure to global clients and cross-functional teams. About Redslim We started in 2013, when our customers’ data journeys were at a turning point. Redslim came to life to help CPG organizations maximizing the usage of the full scope of their data assets with customized analytical tools. Offering a replicable yet flexible approach to data synchronization, our founding partners created a new space in the world of market intelligence. We’re a virtual company to offer a lean experience around remodelling data assets. Ours is a people-first culture that encourages everyone to drive change on the customer’s behalf. Not being a typical corporation, we can challenge our status quo. We succeed every day with a collaborative attitude, a quality driven approach, and transparent relationships with our partners. Find out more about us at ! If you're ready to take the next step in your data engineering career, apply today and join our team of experts!

Data Engineer • Opportunity for a Data Engineer to join a market leading entertainment brand in Greater Manchester, • Salary up to £53,045 + fantastic benefits including our Inclusive working culture, Generous holiday allowance, Hybrid working and more WHAT WILL YOU BE DOING? In this role, you’ll be building and maintaining the data systems that power our reporting and analytics across the business. You’ll develop reliable data pipelines in Databricks, bringing together real-time and batch data from multiple sources on AWS. Working closely with teams across Finance, Marketing, and Compliance, you’ll make sure our data is accurate, accessible, and ready for decision-making. You’ll also play a key part in improving performance, automation, and governance across our modern cloud-based data platform. OUR BENEFITS: • Hybrid Working, • Generous holiday allowance, • Pension, • Annual Bonus, • Life Insurance, • Training & Development Opportunities, • Enhanced Maternity & Paternity, • Charity Volunteer Days, • Cycle to work scheme, • And More.. DATA ENGINEER – ESSTENTIAL SKILLS • Proven experience building data pipelines using Databricks., • Strong understanding of Apache Spark (PySpark or Scala) and Structured Streaming., • Experience working with Kafka (MSK) and handling real-time data., • Good knowledge of Delta Lake / Delta Live Tables and the Medallion architecture., • Hands-on experience with AWS services such as S3, Glue, Lambda, Batch, and IAM., • Strong skills in Python for data engineering, automation, and testing., • Confident using SQL for data analysis and building queries in Databricks SQL., • Experience implementing CI/CD pipelines (e.g. GitHub Actions, Azure DevOps, or Jenkins)., • Familiarity with Git and version control best practices. TO BE CONSIDERED… Please either apply by clicking online or emailing me directly . By applying to this role you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

We are seeking a highly skilled ML Ops Engineer to join our growing data team. This role is critical in designing and implementing robust, scalable, and efficient data systems that power analytics, machine learning models, and business insights. The ideal candidate will have expertise in data pipeline orchestration (e.g., Airflow), data lake and warehouse architecture and development, infrastructure as code (IaC) using Terraform, and data extraction from both structured and unstructured data sources (e.g. websites). Knowledge using the Microsoft Azure ecosystem, MLOps, Kubernetes, and other modern data engineering practices. Core Responsibilities Data Architecture & Development: • Leverage best practices in schema design, partitioning, and optimisation for, • efficient storage and retrieval., • Build and maintain data models to support analytics and machine learning, • workflows., • Design and implement scalable, secure, and high-performance data lake and data, • warehouse solutions. Pipeline Orchestration: • Develop, monitor, and optimize ETL/ELT workflows using Apache Airflow., • Ensure data pipelines are robust, error-tolerant, and scalable for real-time and batch processing. Data Scraping & Unstructured Data Processing: • Develop and maintain scalable web scraping solutions to collect data from diverse sources, including APIs, websites, and other unstructured data sources., • Extract, clean, and transform unstructured data such as text, images, and log files into structured formats suitable for analysis., • Use tools and frameworks like BeautifulSoup, Scrapy, or Selenium for web scraping, and natural language processing (NLP) techniques for text processing. Cloud Integration: • Design and implement cloud-native data solutions with Microsoft Azure., • Optimize costs and performance of cloud-based data solutions. Infrastructure as Code (IaC): • Use Terraform to automate the provisioning and management of cloud infrastructure., • Define reusable and modular Terraform configurations to support scalable deployment of resources. MLOps: • Collaborate with data scientists and machine learning engineers to operationalise machine learning models., • Implement CI/CD pipelines for machine learning workflows, ensuring efficient model deployment and monitoring. Containerisation and Orchestration: • Utilize Kubernetes and containerisation technologies (e.g., Docker) to deploy scalable, fault-tolerant data processing systems., • Manage infrastructure and resource allocation for containerised data applications. Cross-Functional Collaboration: • Work closely with stakeholders, including data scientists, software engineers, and business analysts, to align technical solutions with business needs., • Mentor junior engineers and foster a culture of continuous learning within the team. Skills / Qualifications Education: • Bachelor's/Master’s/PhD degree in Computer Science, Engineering, or a related field; or equivalent professional experience. Experience: • 5+ years of experience in data engineering or a related field., • Strong expertise in data pipeline orchestration tools such as Apache Airflow., • Proven track record of designing and implementing data lakes and warehouses (experience with Azure is a plus)., • Demonstrated experience with Terraform for infrastructure provisioning and management., • Solid understanding of MLOps practices, including model training, deployment, and monitoring., • Hands-on experience with Kubernetes and containerised environments. Technical Skills: • Proficiency in programming languages such as Python & SQL., • Experience with distributed computing frameworks such as Spark., • Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Soft Skills: • Strong problem-solving skills and the ability to work in a fast-paced, collaborative environment., • Excellent communication and documentation skills., • Strong analytical mindset with attention to detail. Company Overview Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to ‘Make tomorrow safer than today’.