1 to 25 of 37 ETL Jobs in the East of England

as required Key Skills: T-SQL and SQL Server (2016 or later preferred). Python for scripting, data processing, and automation. Experience of SQL Database Administrator. Experience of SSIS ETL concepts and data warehouse design principles. Experience of Microsoft SSRS and PowerBI (or similar Reporting Technology). Understanding of Datawarehouse Principles. Excellent problem-solving skills and attention to detail. Strong More ❯

. Advanced expertise in Power BI (DAX, data modeling, custom visuals, row-level security). Advanced knowledge of Excel (Power Query, PivotTables, VBA/macros preferred). Experience with ETL processes, data integration, and cleansing. Strong analytical and problem-solving skills with attention to detail. Ability to manage multiple projects and meet deadlines in a fast-paced environment. Excellent communication More ❯

accessibility through Python-based solutions. Key Requirements Strong programming skills in Python and JavaScript. Solid experience with SQL and database testing. Familiarity with data warehousing and ingestion (e.g., Snowflake, ETL/ELT). Proven ability to translate data into business insights. Clear communication skills for technical and non-technical audiences. Experience with data visualisation tools like Power BI or Tableau More ❯

accessibility through Python-based solutions. Key Requirements Strong programming skills in Python and JavaScript. Solid experience with SQL and database testing. Familiarity with data warehousing and ingestion (e.g., Snowflake, ETL/ELT). Proven ability to translate data into business insights. Clear communication skills for technical and non-technical audiences. Experience with data visualisation tools like Power BI or Tableau More ❯

for claims data capture and document structures.? Prepare and validate migration files for open and closed claims, ensuring historical reporting capabilities.? Coordinate with IT and data engineering teams on ETL processes and data lake ingestion.? Ensure secure handling of sensitive data and adherence to retention ? Support Power BI reporting setup for analytics and operational MI. Key Experience Proven experience in More ❯

internal customers. What we're looking for from you: SQL technologies skills (e.g. MS SQL, Oracle...) noSQL technologies skills (e.g. MongoDB, InfluxDB, Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial More ❯

of 3+ years’ experience in reporting, MI, or BI development roles. Strong SQL expertise (MySQL preferred; Redshift a bonus). Proven experience creating dashboards and BI reports. Understanding of ETL processes and data integration from multiple sources. Confident communicator and collaborator within Agile environments. Experience with JIRA and Confluence. What’s in It for You: A collaborative team culture that More ❯

candidate would have: Experience with SQL technologies (e.g. MS SQL, Oracle). Experience with noSQL technologies (e.g. MongoDB, InfluxDB, Neo4J). Familiarity with data exchange and processing methods (e.g. ETL, ESB, API). Proficiency in development languages such as Python. Knowledge of big data technologies (e.g. Hadoop stack). Understanding of NLP (Natural Language Processing) and OCR (Object Character Recognition More ❯

candidate would have: Experience with SQL technologies (e.g. MS SQL, Oracle). Experience with noSQL technologies (e.g. MongoDB, InfluxDB, Neo4J). Familiarity with data exchange and processing methods (e.g. ETL, ESB, API). Proficiency in development languages such as Python. Knowledge of big data technologies (e.g. Hadoop stack). Understanding of NLP (Natural Language Processing) and OCR (Object Character Recognition More ❯

candidate would have: Experience with SQL technologies (e.g. MS SQL, Oracle). Experience with noSQL technologies (e.g. MongoDB, InfluxDB, Neo4J). Familiarity with data exchange and processing methods (e.g. ETL, ESB, API). Proficiency in development languages such as Python. Knowledge of big data technologies (e.g. Hadoop stack). Understanding of NLP (Natural Language Processing) and OCR (Object Character Recognition More ❯

of cloud services and architectures in AWS/Azure Familiarity with API design and management , REST/SOAP , and event-driven architectures Hands-on experience with Python, JavaScript, or ETL/data transformati on tools Knowledge of SaaS platforms such as Salesforce, ServiceNow, SAP, or Pega Awareness of DevOps, CI/CD, and version control (Git, Azure DevOps, etc.) Excellent More ❯

TOGAF/Zachman enterprise architecture frameworks Cloud native data platforms - Azure/AWS/GCP Data mesh Data Governance Data Lakehouse, warehouse and virtualisation concepts MDM/Metadata management ETL/ELT processes and data pipeline builds Data readiness for AI Strong understanding of business architecture Be part of a team shaping the future of data-driven technology within the More ❯

TOGAF/Zachman enterprise architecture frameworks Cloud native data platforms - Azure/AWS/GCP Data mesh Data Governance Data Lakehouse, warehouse and virtualisation concepts MDM/Metadata management ETL/ELT processes and data pipeline builds Data readiness for AI Strong understanding of business architecture Be part of a team shaping the future of data-driven technology within the More ❯

technologies Supporting internal customers across multiple teams and functions ?? What You'll Bring Experience with SQL & NoSQL databases (e.g. MS SQL, MongoDB, Neo4J) Python skills for scripting and automation ETL and data exchange experience (e.g. APIs, ESB tools) Knowledge of Big Data (e.g. Hadoop) Curiosity about AI, particularly NLP, OCR or Generative AI ?? Bonus Points For Docker/containerisation experience More ❯

Cognos BI Analytics BI methodologies, best practices on BI architecture Cognos Framework Manager and data module - metadata-modelling(CQM and DQM) Desired skills : some understanding of data warehouse and ETL processes using SSIS, OLAP and tabular cubes using SSAS using MDX and DAX for reporting off cubes as the source using DevOps for version control and deployment some understanding of More ❯

which is part of a much larger IT function. Role: Data Movement & Transformation processes between Application/Services/Solutions. Azure Data Factory Pipelines & SSRS reporting solutions - maintenance & optimization ETL - Design, implement & manage ETL processes - ensure accuracy, quality & consistency. Monitor daily Data Loads & ETL workflows. AWS - Support the migration of Data Services to AWS - scalable & cloud-first solutions. Deliver UK … Liaison with IT Business Systems & Business Teams & Third Parties. Drive Continuous Improvement. Technical Skills Required: Azure Data Factory. AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data Warehousing Methodologies. User Support - Power BI - desirable experience. Undertake & Support IT Governance processes … Being Programme/Cycle to Work Scheme/Electric Car Salary Sacrifice Scheme. Keywords: Data Engineer, Azure Data Factory, AWS, AWS Data Services, Redshift, S3, Lambda, Azure BI Technologies, ETL, Data Warehousing, Data Modelling & Kimball Methodology, Data Engineer, Power BI, SQL, ETL, SSRS, Data Engineer. Cambridge, Permanent, T6/MN/1292110. More ❯

which is part of a much larger IT function. Role: Data Movement & Transformation processes between Application/Services/Solutions. Azure Data Factory Pipelines & SSRS reporting solutions - maintenance & optimization ETL - Design, implement & manage ETL processes - ensure accuracy, quality & consistency. Monitor daily Data Loads & ETL workflows. AWS - Support the migration of Data Services to AWS - scalable & cloud-first solutions. Deliver UK … Liaison with IT Business Systems & Business Teams & Third Parties. Drive Continuous Improvement. Technical Skills Required: Azure Data Factory. AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data Warehousing Methodologies. User Support - Power BI - desirable experience. Undertake & Support IT Governance processes … Being Programme/Cycle to Work Scheme/Electric Car Salary Sacrifice Scheme. Keywords: Data Engineer, Azure Data Factory, AWS, AWS Data Services, Redshift, S3, Lambda, Azure BI Technologies, ETL, Data Warehousing, Data Modelling & Kimball Methodology, Data Engineer, Power BI, SQL, ETL, SSRS, Data Engineer. Cambridge, Permanent, T6/MN/(phone number removed). More ❯

ll Be Doing: Lead and mentor a small team of QA engineers across data and BI testing projects. Define and deliver the overall BI QA strategy, embedding quality throughout ETL pipelines, data models, and reporting layers. Design and implement test frameworks covering data accuracy, governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD … align QA priorities with wider delivery goals. Track quality metrics and introduce continuous improvements to QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation More ❯

ll Be Doing: Lead and mentor a small team of QA engineers across data and BI testing projects. Define and deliver the overall BI QA strategy, embedding quality throughout ETL pipelines, data models, and reporting layers. Design and implement test frameworks covering data accuracy, governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD … align QA priorities with wider delivery goals. Track quality metrics and introduce continuous improvements to QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation More ❯

ll Be Doing: Lead and mentor a small team of QA engineers across data and BI testing projects. Define and deliver the overall BI QA strategy, embedding quality throughout ETL pipelines, data models, and reporting layers. Design and implement test frameworks covering data accuracy, governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD … align QA priorities with wider delivery goals. Track quality metrics and introduce continuous improvements to QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation More ❯

ll Be Doing: Lead and mentor a small team of QA engineers across data and BI testing projects. Define and deliver the overall BI QA strategy, embedding quality throughout ETL pipelines, data models, and reporting layers. Design and implement test frameworks covering data accuracy, governance, and performance. Drive the introduction of automation tools and integrate them into CI/CD … align QA priorities with wider delivery goals. Track quality metrics and introduce continuous improvements to QA practices. Main Skills Needed: Proven experience in BI and data platform testing, including ETL, data warehouse, and reporting validation. Strong hands-on knowledge of AWS data tools (Glue, Redshift, Athena, EMR, Lambda). Confident with Power BI, SQL, Python/PySpark, and QA automation More ❯

Analyse existing data structures and understand business requirements for data migration. Design and implement robust data migration strategies. Develop scripts and processes to automate data extraction, transformation, and loading (ETL) processes. Work closely with stakeholders, including business users and IT teams, to ensure data requirements are met, and migrations proceed without disruption to business operations. Responsibilities: Plan, coordinate, and execute … data migration projects within set timelines. Design and build ETL solutions, ensuring data quality and integrity throughout the migration process. Troubleshoot and resolve data-related issues promptly to minimise disruption. Collaborate with various teams to align migration 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 More ❯

Analyse existing data structures and understand business requirements for data migration. Design and implement robust data migration strategies. Develop scripts and processes to automate data extraction, transformation, and loading (ETL) processes. Work closely with stakeholders, including business users and IT teams, to ensure data requirements are met, and migrations proceed without disruption to business operations. Responsibilities: Plan, coordinate, and execute … data migration projects within set timelines. Design and build ETL solutions, ensuring data quality and integrity throughout the migration process. Troubleshoot and resolve data-related issues promptly to minimise disruption. Collaborate with various teams to align migration 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 More ❯

Analyse existing data structures and understand business requirements for data migration. Design and implement robust data migration strategies. Develop scripts and processes to automate data extraction, transformation, and loading (ETL) processes. Work closely with stakeholders, including business users and IT teams, to ensure data requirements are met, and migrations proceed without disruption to business operations. Responsibilities: Plan, coordinate, and execute … data migration projects within set timelines. Design and build ETL solutions, ensuring data quality and integrity throughout the migration process. Troubleshoot and resolve data-related issues promptly to minimise disruption. Collaborate with various teams to align migration 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 More ❯

which is part of a much larger IT function. Role: Data Movement & Transformation processes between Application/Services/Solutions. Azure Data Factory Pipelines & SSRS reporting solutions - maintenance & optimization ETL - Design, implement & manage ETL processes - ensure accuracy, quality & consistency. Monitor daily Data Loads & ETL workflows. AWS - Support the migration of Data Services to AWS - scalable & cloud-first solutions. Deliver UK … Liaison with IT Business Systems & Business Teams & Third Parties. Drive Continuous Improvement. Technical Skills Required: Azure Data Factory. AWS Data Services (Redshift, S3, Lambda) - Desirable. SSRS - hands-on experience. ETL - Design, Data Quality Frameworks & Pipeline Management. SQL - Star Schema - Data Modelling. Data Warehouse Design, Development & Testing. Data Warehousing Methodologies. User Support - Power BI - desirable experience. Undertake & Support IT Governance processes More ❯