19 of 19 Permanent ETL Jobs in the Thames Valley

data pipelines using Azure Synapse, Data Factory, Databricks or Microsoft Fabric Architect, implement and oversee high-performing data lakes, data warehouses and ETL/ELT processes Develop scalable, robust data models for enterprise-level reporting within Power BI Serve as a technical authority, advising clients on best-fit data solutions ...

high-quality technical solutions, optimise performance and cost, and ensure the data platform is reliable, secure, and well-structured. This includes developing ELT/ETL pipelines using tools such as dbt and Argo Workflows, implementing data quality and governance practices, and leveraging advanced Snowflake features to drive automation and efficiency.Collaboration ...

Design, build, and maintain scalable data pipelines using Azure services Develop and optimize solutions in Microsoft Fabric (Data Factory, Lakehouse, Warehousing) Implement ETL/ELT processes using tools such as Azure Data Factory Work with large datasets in Azure Synapse Analytics and Azure Data Lake Storage Collaborate with analysts and ...

Youll Do Design, build, and maintain scalable data pipelines using Azure services Develop and optimize solutions in Microsoft Fabric (Data Factory, Lakehouse, Warehousing) Implement ETL/ELT processes using tools such as Azure Data Factory Work with large datasets in Azure Synapse Analytics and Azure Data Lake Storage Collaborate with ...

data governance. •Solid understanding of Insurance domain concepts (Specialized Insurance, London Market, Regulatory Data). •Excellent communication and stakeholder management skills. Preferred •Experience with ETL tools and data integration processes. •Familiarity with data warehousing concepts and cloud data platforms. •Exposure to Fivetran, SSIS, or Snowflake advanced features. Personal Besides ...

skills for creating custom NiFi processors. Programming & Data Technologies: Proficiency in Java and SQL. Experience with C# and Scala is a plus. Experience with ETL tools and big data platforms. Knowledge of data modelling, replication, and query optimization. Hands-on experience with SQL and NoSQL databases is desirable. Familiarity with ...

Advanced Excel skills (eg pivot tables, formulas, data manipulation). Proven ability to translate business requirements into BI solutions. Good understanding of data warehousing, ETL, and data modelling. Strong knowledge of data quality, governance, and management. Proficiency with SQL and cloud-based databases. Effective communicator for both technical and ...

more modern data architecture What they’re looking for.. Essential: Strong SQL experience in a production environment Experience with data warehousing, modelling or ETL Comfortable improving data quality and consistency Confident working with non-technical stakeholders Nice to have: Azure/Microsoft data tools, ERP systems, Jet Analytics, Fabric ...

time allocated to ensure you have time to learn. Required Experience Experience working in a Managed Service team supporting Azure based Production Data & Analytics ETL/integration solutions (Fabric, Databricks, Synapse, Data Factory, Function Apps, Power BI etc) against SLAs Python, PySpark, Scala, Spark SQL Ability to identify and investigate ...

data platforms (S3, Lake Formation, Glue, Athena, EMR/Spark). Design multi account data governance, security, and access models. Develop scalable ETL/ELT pipelines using Python & PySpark . Implement IaC using Terraform and CI/CD using GitHub Actions . Optimize data pipelines for performance, quality, and cost. ...

management. Data operations proficiency: EIM templates, data validations, reconciliation, pipeline/job scheduler monitoring, and performance tuning. Integration knowledge with CRM/ERP and ETL/iPaaS (e.g., Salesforce/CRM, SAP, SAP CPI/Informatica); ability to read and troubleshoot interface files and APIs. Service management and governance: ITIL ...

system issues and user queries.o Data Warehouse Architecture: Contribute to the design and development of the data warehouse architecture, including new data marts, ETL processes, and database structures, to meet the growing needs of the Trust. Lead the implementation of these designs with a focus on scalability, performance, and security.Please … responding promptly to system issues and userqueries. Data Warehouse Architecture: Contribute to the design and development of the datawarehouse architecture, including new data marts, ETL processes, and databasestructures, to meet the growing needs of the Trust. Lead the implementation of thesedesigns with a focus on scalability, performance, and security. Data ...

analysis Experience in time series database analysis Experience in large Business Transformation Programs involving process reengineering Extensive experience in UCD led approach, UI development, ETL processes, data flows analysis, cloud architecture, and data modernisation/transformation programs Excellent analytical and problem-solving skills, with the ability to think critically and ...

and operating large-scale data platforms Deep experience within the Azure data ecosystem Excellent SQL and Python skills in production environments Experience with modern ETL/ELT patterns, CI/CD and infrastructure as code A pragmatic, commercially aware mindset. You understand why the platform exists, not just how Working ...

Having expertise in Spark Core, Spark SQL and Spark Streaming. Experience with Hadoop, HDFS, Hive and other BigData technologies. Familiarity with Data warehousing and ETL concepts and techniques Having expertise in Database concepts and SQL/NoSQL operations. UNIX shell scripting will be an added advantage in scheduling/running ...

decision-making . The team values collaboration, curiosity, and a passion for improving data-driven processes. What You'll Do Analyse complex datasets and extract meaningful insights to support business decisions. Create, maintain, and improve dashboards and management reports. Work closely with stakeholders to understand reporting needs and provide solutions. … plus. Strong analytical thinking with the ability to present insights to both technical and non-technical audiences. Nice-to-Haves Experience with ETL processes and data warehousing concepts . Exposure to financial reporting, risk, or regulatory data . Excellent communication and stakeholder engagement skills. What's On Offer Salary ...

available to start within 1–2 weeks. Preferred Skills (Nice to Have) IBM Initiate (Master Data Management). Experience with Nginx, Apache Tomcat, and ETL processes. Exposure to Cognitec FaceVACS, MiniO, or Virtualisation technologies. Why Apply? This role offers the chance to lead a high-profile digital transformation that directly ...

complex organisation. Experience with Oracle DBMS. Experience with SQL Server DBMS Microsoft Azure, Microsoft Fabric and Dataverse. Develop and maintain robust data pipelines and ETL workflows. Design and optimise relational and non-relational databases. Implement scalable data storage, orchestration frameworks and master data management processes. Ensure data quality, integrity, security … advise on best practice tools and standards. Identify and introduce emerging technologies to enhance organisational data capability. About You Proven experience in data engineering, ETL development and database optimisation. Strong understanding of data modelling, governance and regulatory compliance. Experience working in complex organisational environments. Strong analytical skills with the ability ...

code (Base SAS, Macros, DI Studio) to PySpark using automated tools (SAS2PY) and manual refactoring. Pipeline Engineering: Design, build, and troubleshoot complex ETL/ELT workflows and data marts on AWS. Performance Tuning: Optimise Spark workloads for execution efficiency, partitioning, and cost-effectiveness. Quality Assurance: Implement clean coding principles, modular … Glue Workflows. SAS Knowledge (P1): Solid foundation in SAS to enable the understanding and debugging of legacy logic for conversion. Data Modeling: Expertise in ETL/ELT, dimensions, facts, SCDs, and data mart architecture. Engineering Quality: Experience with parameterisation, exception handling, and modular Python design. Additional Details Industry: Financial Services ...