15 of 15 Data Lake Jobs in the East of England

wemake and action we take, guiding us to deliver impact how and where it mattersmost . Connect to your opportunity We're looking for a skilled Data Lake Reporting Assistant Manager to join our team and play a key role in developing and maintaining our data lake reporting environment. You'll work closely with … and engineers, contributing to the development and implementation of our reporting strategy. Learn and apply industry best practices for data warehousing, reporting, and visualization. Data Lake Reporting Environment: Become proficient in navigating and understanding data lake architecture. Assist in implementing data quality checks and validation processes to ensure accurate and … Information Systems, or a related field, or equivalent. Proven experience in data warehousing, business intelligence, or a related field, or equivalent. Strong understanding of data lake architectures, data modelling, and ETL processes. Expertise in SQL and data visualization tools (e.g., Power BI). Excellent communication, interpersonal, and presentation skills. Connect to More ❯

Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis combines the expertise of AKKA and Modis, with over 50,000 engineers and digital specialists across 30 countries in North America, EMEA … processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure … DB, Azure Synapse, Azure Data lake and Azure Monitor providing added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema More ❯

Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis combines the expertise of AKKA and Modis, with over 50,000 engineers and digital specialists across 30 countries in North America, EMEA … processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure … DB, Azure Synapse, Azure Data lake and Azure Monitor providing added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema More ❯

Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis combines the expertise of AKKA and Modis, with over 50,000 engineers and digital specialists across 30 countries in North America, EMEA … processes with organisational goals and regulatory standards. Proficiency in AWS ETL technologies, including Glue, Data Sync, DMS, Step Functions, Redshift, DynamoDB, Athena, Lambda, RDS, EC2 and S3 Datalake, CloudWatch for building and optimizing ETL pipelines and data migration workflows. Working knowledge of Azure data engineering tools, including ADF (Azure Data Factory), Azure … DB, Azure Synapse, Azure Data lake and Azure Monitor providing added flexibility for diverse migration and integration projects. Prior experience with tools such as MuleSoft, Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema More ❯

Head of Data Salary: £70,000 - £75,000 Location: Bedford - 2 days per month We are currently looking for a Head of Data to join our client's fast-paced and collaborative tech team. Reporting directly into the CTO, this role is central to ensuring their data is accurate, secure, and used to its … full potential. As the Data Lead, you will shape and evolve their data infrastructure, generate actionable insights, and partner across the business to drive smarter decisions. This role is integral to the success of the company, turning data into trusted insights that empower confident decisions and create real impact. The Opportunity As Head of … engineering, BI, analytics). Strong experience in data strategy, governance, and quality initiatives. Technical expertise in SQL and non-SQL systems, database architecture, and data lake/warehouse design. Experience with cloud platforms (Azure DevOps preferred). Excellent communication skills with ability to bridge technical and business teams. Strong knowledge of data security More ❯

Are you ready to take ownership of a growing Data & BI function? This is a fantastic opportunity for a hands-on leader to shape and evolve a modern Microsoft data platform, deliver insightful analytics, and mentor a small team while remaining close to the technology in a product manufacturing business on the outskirts of Norwich. We … turning complex datasets into impactful Power BI dashboards that drive decision-making.What you’ll be doing Lead the design, optimisation, and ongoing evolution of a cloud-based Azure data estate. Build and maintain SQL models, queries, and stored procedures to deliver accurate, performant datasets. Develop and manage ETL/ELT pipelines using Azure Data Factory and … Deep expertise in Microsoft SQL Server, including T-SQL, indexing, and performance tuning. Proven experience with the Azure data stack (Data Factory, Data Lake Gen2, SQL MI, Power BI, Purview). Strong Power BI skills (advanced DAX, Power Query/M). Solid understanding of data modelling, ETL design, and relational More ❯

This is a pivotal role in a growing energy business with serious ambitions around data. You’ll shape how data is collected, governed, and used to drive decisions — across operations, risk, and customer delivery. It’s hands-on, strategic, and full of opportunity to lead from the front. What You’ll Be Doing: Designing and developing robust data pipelines to centralise and clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams … training sessions and knowledge sharing Main Skills Needed: Proven experience in data engineering, ideally 5+ years Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and More ❯

This is a pivotal role in a growing energy business with serious ambitions around data. You’ll shape how data is collected, governed, and used to drive decisions — across operations, risk, and customer delivery. It’s hands-on, strategic, and full of opportunity to lead from the front. What You’ll Be Doing: Designing and developing robust data pipelines to centralise and clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams … training sessions and knowledge sharing Main Skills Needed: Proven experience in data engineering, ideally 5+ years Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and More ❯

This is a pivotal role in a growing energy business with serious ambitions around data. You’ll shape how data is collected, governed, and used to drive decisions — across operations, risk, and customer delivery. It’s hands-on, strategic, and full of opportunity to lead from the front. What You’ll Be Doing: Designing and developing robust data pipelines to centralise and clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams … training sessions and knowledge sharing Main Skills Needed: Proven experience in data engineering, ideally 5+ years Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and More ❯

This is a pivotal role in a growing energy business with serious ambitions around data. You’ll shape how data is collected, governed, and used to drive decisions — across operations, risk, and customer delivery. It’s hands-on, strategic, and full of opportunity to lead from the front. What You’ll Be Doing: Designing and developing robust data pipelines to centralise and clean data from multiple sources Building conceptual and physical data models to support reporting and analysis Championing data governance and implementing controls to ensure quality and compliance Developing automated ETL solutions using Microsoft Azure tools Leading best practice in engineering standards, code quality, and peer review Supporting teams … training sessions and knowledge sharing Main Skills Needed: Proven experience in data engineering, ideally 5+ years Advanced SQL skills and strong knowledge of Azure (Data Lake, Synapse, SQL Server) Comfortable with Python, C#, and working with APIs Familiar with cloud data platforms (Azure essential; AWS useful) Confident designing data architecture and More ❯

A small and highly successful organisation in the sustainability space are seeking a Data Engineer with some Power Platform experience to join their team. They have an office space in London, though this role is remote and is therefore open to candidates across the UK. They are on a mission to help businesses to reduce their carbon emissions … Responsibilities include: Use Azure Data Factory to ingest, transform, and expose data across the platform Help centralise data into a Data Lake, ensuring it's clean, structured, and accessible Build data pipelines for LLMs and integrate tools like GPT to drive intelligent outputs Develop user-facing applications using Power … It's a broad role, with lots to get involved in! We're not expecting you to have experience with everything mentioned above - the core skills are Azure Data Factory, and having a self-starter mentality with an enthusiasm to learn new things! Benefits include: Salary up to £70,000 depending on experience 25 days annual leave plus More ❯

A small and highly successful organisation in the sustainability space are seeking a Data Engineer with some Power Platform experience to join their team. They have an office space in London, though this role is remote and is therefore open to candidates across the UK. They are on a mission to help businesses to reduce their carbon emissions … Responsibilities include: Use Azure Data Factory to ingest, transform, and expose data across the platform Help centralise data into a Data Lake, ensuring it's clean, structured, and accessible Build data pipelines for LLMs and integrate tools like GPT to drive intelligent outputs Develop user-facing applications using Power … It's a broad role, with lots to get involved in! We're not expecting you to have experience with everything mentioned above - the core skills are Azure Data Factory, and having a self-starter mentality with an enthusiasm to learn new things! Benefits include: Salary up to £70,000 depending on experience 25 days annual leave plus More ❯

join our software group and help build the next generation AI-driven scientific platform. In this role, you will design, build, and optimize backend systems that power intelligent, data-driven applications. You will focus on creating high-performance APIs, architecting scalable data management tooling, and ensuring the reliability of services that integrate advanced AI frameworks with … You'll work closely with ML researchers, platform engineers, and scientists to develop systems that can handle diverse workloads and scale seamlessly, including structured SQL database, data lake houses, and vector databases. This is an opportunity to apply your deep backend expertise to a cutting-edge AI platform with real scientific impact. If you are passionate about … Building Design & Build APIs: Design and build high-performance, secure, and well-documented APIs that integrate with AI-driven applications. Database Architecture & Scaling: Architect schemas and manage diverse data systems (SQL, NoSQL, Vector DBs, and others) for optimal performance and scalability. Backend Systems Development: Drive the implementation of backend services, focusing on performance, maintainability, and reliability. Performance & Reliability More ❯

Data Management and Business Intelligence Lead - Remote working - IT Enterprise Platform and Business Intelligence Lead Strong experience of within the fields of Data Management, Application Estates and Business Intelligence platforms required for a role that will develop into a Senior Management Position. The focus will be on driving clarity, alignment, and performance across these domains. You … is not the primary expectation, your ability to understand technical landscapes and translate business needs into actionable direction will be critical to success. Required Skills: - Strong understanding of data management principles, including governance, quality, security, and life cycle. Solid grasp of enterprise applications and how they support operational and strategic business functions. Familiarity with Business Intelligence (BI) tools … and reporting platforms (eg, Power BI) Understanding of IT service delivery models, especially in outsourced or hybrid environments. Knowledge of data integration and interoperability between systems (eg, APIs, Middleware, data lakes/warehouses). Desirable Awareness of cloud-based platforms (eg, Azure) and their implications for data and application strategy. Familiarity with data More ❯

research informatics. You will architect and industrialize the operational backbone of our discovery platform, enabling scientists to work faster, smarter, and at scale, while ensuring high-quality, reproducible data generation to power our AI/ML-driven discovery engine. You will be a key member of the R&D Leadership Team, responsible for shaping strategy, integrating operational functions … R&D infrastructure into a fully integrated, automation-enabled, digitally connected lab. Champion the adoption of modern lab technologies, automated workflows, and informatics platforms to maximize efficiency, scalability, data quality and accessibility. Oversee the design, deployment, and continuous improvement of a modern informatics stack for data capture, analysis, and sharing across teams. Ensure operational systems and … align operational capabilities with scientific priorities. Manage and expand external relationships with technology providers, automation vendors, CROs, and academic collaborators. Build and lead a multidisciplinary platform operations and data team, blending expertise in lab operations, automation engineering, and research informatics. Foster a culture of innovation, inclusivity, and scientific excellence, while mentoring emerging leaders. Present to the company's More ❯