16 of 16 ETL Jobs in the East of England

performance tuning and model management. Proven ability to manage and optimize very large datasets in Power BI and Azure. Solid understanding of SQL, ETL processes, and data warehousing. Familiarity with Azure Synapse, Data Lake, and Analysis Services (AAS/SSAS). Strong performance tuning: aggregations, incremental refresh, Hybrid tables, Direct ...

insight across a complex, multi-site business. Key responsibilities but not limited to as the Python Data Engineer: Build and maintain data pipelines and ETL processes Integrating legacy and modern systems Deliver data migrations, including mapping, transformation, and validation Ensure data quality, performance, and reliability Collaborate with technology and business ...

driven decision-making Strong understanding of data governance, stewardship frameworks, and operating models Hands-on experience with data engineering and large-scale processing, including ETL/ELT, Python, and Spark Proven experience designing and operating modern cloud data platforms on Azure, including Fabric and Databricks Ability to design and govern ...

similar cloud-based data platform is highly desirable for this role as it involves significant migration projects.* Solid understanding of building, maintaining, and optimising ETL/ELT pipelines using modern tools and technologies is essential for success.* Familiarity with managing dual environments involving both legacy systems (such as on-premise ...

Proven experience in Power BI development and data visualization Strong skills in DAX, SQL, and data modeling techniques Understanding of data warehousing concepts and ETL processes Experienced with Dynamics BC or 4PS Ability to communicate complex data insights effectively to diverse audiences Experience in project management and a collaborative mindset ...

comapny core and non-core IT systems, working with business owners and suppliers for system upgrades, patching, releases, and fault resolution. * Lead the Extract, Transform, Load element of the company data warehouse and ensure databases are optimised. * Provide platform support for all applications and operating systems, including system builds and ...

security - 0Auth 2.0, JWT, managed identities, secrets Experience integrating with enterprise platforms such as Salesforce, ServiceNow, SAP, Pega Coding/scripting experience (Python, JavaScript, ETL tools) Excellent communication skills, with the ability to engage non-technical stakeholders Strong documentation skills - diagrams, data flows, design specs Desirable Qualifications Working within secure ...

and optimising data pipelines that form the foundation of our reporting and analytics ecosystem. Using your technical expertise, you will design and maintain efficient ETL processes to integrate data from systems such as ServiceNow, JIRA, and Dynatrace, ensuring accuracy, performance, and scalability. You will thrive in a fast-paced, collaborative … ideal role for you! Contract - 6 months Location - Cambridge (2 days onsite) Rate - Flexible (inside IR35) Responsibilities: Design, build, and maintain scalable ETL pipelines in Databricks to integrate data from multiple business systems such as ServiceNow, JIRA, and ADO. Optimise data workflows for performance, scalability, and reliability. Implement data validation ...

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 ...

Python, REST/SOAP web services, HTML and CSS Proven use of data technologies including MySQL and SQL Server databases, database schemas, SQL syntax, ETL techniques and best practice, as well as an understanding of and solutions for issues arising with data integration across multiple systems Proven use of data ...

problems and improve processes Gathering requirements and delivering ERP enhancements Developing and maintaining BI and operational reporting (Infor M3, Crystal Reports, Excel) Owning data, ETL processes and ERP system administration Managing ERP security, access and system releases Supporting, training and developing users at all levels Maintaining EDI and API integrations ...

Data source understanding (JSON, CSV etc) Strong SQL ETL/ELT Testing Background Strong Domain understanding Test Planning Resource prioritization Test Approach Automation strategy Azure Experience API (Postman Experience) Strong communication Responsibilities Manage Releases Review user stories (Test Scope) Define Test types Create approach for any new patterns Test evidence ...

Support Engineer/Data Engineer Telecom Domain (JD) Key Skills & Expertise AWS Core Services : S3, Redshift, Glue, Athena, Lake Formation, IAM Data Engineering/ETL: Building and optimizing ETL pipelines Data ingestion, transformation & orchestration using AWS Glue (PySpark/Python) Working with structured/semi-structured telecom datasets (CDRs, network … styles, sort keys Workload management (WLM) Performance optimization & troubleshooting Python: Automation scripts Data processing workflows Monitoring, debugging, validation scripts AWS Support/Operations: Troubleshooting ETL failures, performance bottlenecks, pipeline issues Monitoring cloud workloads (CloudWatch, CloudTrail) Handling incidents, root-cause analysis (RCA), patching & releases Cost optimization and resource usage tracking Telecom ...

process Key Responsibilities Analyse existing data structures and understand business and technical requirements for migration initiatives. Design and deliver robust data migration strategies and ETL solutions. Develop automated data extraction, transformation, and loading (ETL) processes using industry-standard tools and scripts. Work closely with stakeholders to ensure seamless migration and … promptly. Collaborate with wider engineering and architecture teams to ensure migrations align with organisational and regulatory standards. Relevant exposure; Strong hands-on experience with ETL processes and tools (Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi) or scripting using Python, PySpark, and SQL. Proficient-level SQL skills for complex query development, performance ...

policies Security must be baked into delivery not an afterthought. Power Platform, Fabric & Data Modelling Power BI (data modelling, DAX fundamentals) Power Query/ETL thinking Familiarity with Microsoft Fabric or modern data platforms Can design a single source of truth , not just reports Someone who moves from spreadsheets models … experience useful: BAQs, REST/API, upgrades SQL literacy (views, joins, performance awareness) Understanding of manufacturing concepts: BOMs, routings, work centres Ability to extract ERP data cleanly for reporting & forecasting Process, Documentation & Knowledge Capture Comfortable documenting systems and processes Can create repeatable runbooks, not Word documents nobody reads Thinks ...

premise infrastructure , ensuring our Generative AI capabilities are powerful, private, and resilient. Key Responsibilities Architect & Build: Design, develop, and optimize scalable data pipelines (ETL/ELT) within air-gapped or on-premise data centers. AI Integration: Engineer data structures specifically for Natural Language Processing (NLP) and Large Language Models (LLMs … transition GenAI prototypes into production-ready, locally-hosted solutions. Technical Requirements Languages Expert-level Python and advanced SQL . Data Engineering Experience with ETL/ELT and orchestration tools like Apache Airflow or NiFi . On-Prem Tech Proficiency with Hadoop/HDFS , Spark , and containerization via Docker/Kubernetes ...