9 of 9 ETL Jobs in Stevenage

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 ❯

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 ❯

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 ❯

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 ❯

practices, ensuring performance, security, and operational readiness. Mentoring and coaching team members, helping them to grow and deliver to a high standard. Working closely with architects on data pipelines (ETL/ELT) and distributed data frameworks. Driving technical proposals, advising on effort estimates, and contributing to pre-sales activities. Taking responsibility for testing, integration, and operational delivery. Guiding your team … on data-intensive projects. Strong programming skills in Java, Scala, or Python. Proficiency in SQL (including extensions for analytical workloads). Deep knowledge of distributed data stores, frameworks, and ETL/ELT platforms (e.g. Azure Databricks, Informatica). Experience applying design standards, coding best practices, and operational readiness (automation, deployment). Ability to clearly communicate technical concepts both verbally and More ❯