2 of 2 Contract Data Pipeline Jobs in the North West

Test Engineer Data Platforms (FTC-6months Hybrid | London or Manchester) My client is looking for an experienced Test Engineer to take ownership of testing across modern data platforms. This is a hands-on role where you’ll design, implement, and execute test strategies for data pipelines, models, and reporting solutions built on Azure technologies. … Key Responsibilities Define and own the overall testing strategy for data pipelines, data models, and BI solutions. Develop and implement automated testing frameworks integrated with CI/CD pipelines. Design and execute test cases across data ingestion, transformation, storage, and presentation layers. Validate data accuracy, performance, and usability within Azure Databricks, Azure … Data Factory, Azure Data Lake Storage, and Power BI. Establish and monitor data quality checks, reconciliation, and compliance processes. Collaborate closely with data engineers, BI developers, architects, and product owners to embed testing best practices across delivery. Essential Skills & Experience Proven experience as a Test Engineer within data engineering or More ❯

Job Title: Airflow/AWS Data Engineer Location: Manchester Area (3 days per week in the office) Rate: Up to £400 per day inside IR35 Start Date: 03/11/2025 Contract Length: Until 31st December 2025 Job Type: Contract Company Introduction: An exciting opportunity has become available with one of our sector-leading financial services clients. … resource optimization for Airflow workers and AWS resources. Manage integrations with source control systems (GitHub, GitLab) and CI/CD pipelines. Collaborate with AWS teams and internal stakeholders for pipeline scalability and optimization. Design and implement process improvements, including automation, data delivery optimization, and infrastructure re-design. Develop ETL pipelines and data workflows using AWS … and tools like Jenkins, GitHub Actions, or GitLab CI. Solid understanding of containerization technologies (Docker, Kubernetes). Working knowledge of Python and SQL for automation and data pipeline development. Familiarity with monitoring and observability tools (Grafana, Prometheus, CloudWatch). Strong grasp of data architecture principles and ETL design patterns. Financial services or regulated industry experience More ❯