15 of 15 ETL Jobs in the East of England

Key Responsibilities: Data Pipelines and ETL Processes ETL Design: Design and implement ETL processes within MaPS architectural patterns to extract, transform, and load data from various source systems into our reporting solutions. Pipeline Development: Develop and configure meta-data driven data pipelines using data orchestration tools such as Azure Data factory and engineering tools like Apache Spark to ensure seamless … these tools. You will need to demonstrate the following skills and experience; Proven experience as a Data Engineer, with a focus on Azure services. Strong expertise in designing and implementing ETL processes. Experience in using SQL to query and manipulate data. Proficiency in Azure data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Lake Storage/One Lake, and More ❯

lakehouse technologies. Proficient in Linux environments, including experience with shell scripting, basic system operations, and navigating file systems. Deep understanding of data warehouse concepts and experience with data modeling, ETL/ELT pipelines, and performance tuning. Solid programming skills in Python for data transformation and machine learning (e.g., pandas, scikit-learn). Experience with BI tools such as Power BI More ❯

Relevant Microsoft certifications in Dynamics 365 and/or Power Platform. Experience working in agile delivery environments, particularly at scale. Knowledge of SSRS, FetchXML, SSIS, or other reporting and ETL tools. Experience with Power Pages (Portals) and customer-facing apps. Familiarity with data compliance standards (e.g., GDPR) and security models within Dynamics. Soft Skills & Traits A confident problem-solver with More ❯

data warehouses and ensuring data quality on GCP Strong hands-on experience with BigQuery, Dataproc, Dataform, Composer, Pub/Sub Skilled in PySpark, Python and SQL Solid understanding of ETL/ELT processes Clear communication skills and ability to document processes effectively Desirable Skills: GCP Professional Data Engineer certification Exposure to Agentic AI systems or intelligent/autonomous data workflows More ❯

dashboards and analytics tools to support business performance Champion data governance, process documentation, and reporting best practices via a Centre of Excellence Support technical data tasks including SQL modelling, ETL/ELT pipelines, API integration, and automation using Python Drive a high-performing, data-literate culture — influencing change and encouraging data-driven decision-making Ensure compliance with all regulatory, legal More ❯

and initial 6 months. You'll be responsible for creating new and working on existing dashboards across a range of exciting project. Requirements: Strong Power BI experience Experience with ETL pipelines, data modelling, SQL Azure Data Factory experience Ideally: Experience with Power Platform integrations IT Service Management knowledge More ❯

prototyping and developing a RAG platform on AWS. You'll need: - Extensive AWS Data Engineering experience (S3, EC2, Glue, Lambada etc.) - NoSQL/MongoDB - Strong understanding of Data Modelling, ETL/ELT, DWH concepts - Docker/EKS containerisation tooling - Experience building and maintaining pipelines for data workflows (CI/CD - RAG or LLM based data system experience If this sounds More ❯

accurate, context-rich AI responses using internal data Work with stakeholders across engineering, manufacturing, and systems teams to translate needs into AI solutions Clean, process, and manage data using ETL, API, SQL/NoSQL, and related tools Validate and refine models, ensuring they are robust, responsive, and production-ready Contribute to the organisation's AI technology roadmap, bringing in new More ❯

knowledge sufficient to fulfil the role Continually expand knowledge of SQL Server and its related tools Create and modify DWH objects, such as tables and views; Develop, and maintain, ETL processes to update the data within the DWH Performance tuning of the DWH, such as indexing, for both the updating and consumption of data within it Monitor automated tasks failed More ❯

the intersection of data, automation, and customer intelligence . As we scale, we're looking for a talented BI Analyst to join our analytics team and help our clients extract true business value from their data. The Role As a BI Analyst , you will play a critical role in helping our clients understand and optimise their CRM and business performance … BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For More ❯

the intersection of data, automation, and customer intelligence . As we scale, we're looking for a talented BI Analyst to join our analytics team and help our clients extract true business value from their data. The Role As a BI Analyst , you will play a critical role in helping our clients understand and optimise their CRM and business performance … BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For More ❯

in designing and implementing solutions that cater to varied tax regulations and invoicing models across the country. Nice to Have: Knowledge of data integration. Experience in data manipulation through ETL Knowledge in UML Knowledge of markup languages such as HTML and XML Previous experience in software development in object-oriented languages and visual frameworks Full Proficiency in English is mandatory More ❯

areas that can benefit from increased efficiency and accuracy through automation and AI solutions. As an Automation and AI specialist, you will document and report on automation projects, including ETL processes designed with Azure Data Factory, detailing the objectives, methodologies, outcomes, and lessons learned to stakeholders at various levels within the council. What you'll need to succeed To be More ❯

areas that can benefit from increased efficiency and accuracy through automation and AI solutions. As an Automation and AI specialist, you will document and report on automation projects, including ETL processes designed with Azure Data Factory, detailing the objectives, methodologies, outcomes, and lessons learned to stakeholders at various levels within the council. What you'll need to succeed To be More ❯

This Role? 🛠 You'll play a critical role in owning and optimising data and reporting pipelines, overseeing daily operations and release management, while being technical enough to dive into ETL, AWS, or BI issues as they arise. You’ll lead a small offshore supplier team and ensure smooth, efficient delivery of BI data services across the business. What You’ll … Be Doing: Monitor, troubleshoot, and manage daily Data Ops, including ETL workflows and Power BI releases Be the escalation point for Level 2/3 support, resolving issues hands-on across AWS (Airflow, S3, Redshift, Glue) Lead and coordinate with a team of 5–6 offshore data engineers and suppliers Support and automate Power BI deployments and data pipeline releases … Work closely with the BI Operations Manager and wider tech/data teams Tech Stack You’ll Use: AWS: Glue, S3, Redshift, Airflow Power BI: Deployments, troubleshooting, performance tuning ETL & Scripting: SQL, Python (desirable) Monitoring & incident response in a live production data environment What You'll Need ✅ Extensive experience in analytics engineering Strong hands-on experience with AWS data tools More ❯