7 of 7 ETL Jobs in Stevenage

SQL for complex queries and data extraction. Cloud Architecture & Data Management: Strong understanding of cloud platforms (e.g., AWS, Google Cloud, Microsoft Azure) and their architecture. Knowledge of data warehousing, ETL processes, data pipelines, and data governance principles. Data Visualisation & Reporting: Skilled in using data visualisation tools (e.g., Tableau, Power BI) to create insightful dashboards and reports for stakeholders. Business Acumen More ❯

programming proficiency in Python and Spark (PySpark) or Scala, with the ability to build scalable and efficient data processing applications. Advanced understanding of data warehousing concepts, including dimensional modelling, ETL/ELT patterns, and modern data integration architectures. Extensive experience working with Azure data services, particularly Azure Data Factory, Azure Blob Storage, Azure SQL Database, and related components within the 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 ❯

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 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 ❯

expertise in delivering Data and Analytics projects. The candidate will specialise in this area and have run multiple data projects. This can vary from reporting and analytics, to facilitating ETL/data warehousing to establishing MDM. They need to be an excellent communicator and ideally have expertise with Azure Data and Analytics. A bonus is some expertise in working with More ❯

analyse existing data structures and design robust migration strategies to move complex datasets to cloud environments. You will develop scripts and automated processes for data extraction, transformation, and loading (ETL), ensuring data quality and integrity throughout the migration process. Working closely with business users and IT teams, you will plan, coordinate, and execute migrations within strict timelines, troubleshoot issues promptly … development, performance tuning, and indexing strategies, enabling accurate and efficient migration from on-premises databases such as SQL Server, Oracle, MySQL, and NoSQL to AWS cloud. Strong knowledge of ETL processes is essential, including experience with tools such as Talend, Informatica, Matillion, Pentaho, MuleSoft, Boomi, or scripting languages like Python, PySpark, and SQL. A solid understanding of data warehousing and … and Snowflake schemas, is required. Ideally you will also have a comprehensive knowledge of AWS glue. To succeed, you will demonstrate proven experience in data engineering, data migration, and ETL development, as well as strong analytical skills to assess data quality, resolve inconsistencies, and manage end-to-end migration projects. Your ability to collaborate with technical and non-technical stakeholders More ❯