Salary: £60,000 - 72,000 per year Requirements: Active SC Clearance (mandatory) Strong experience designing and maintaining data pipelines, data warehouses, and data platforms Solid knowledge of DataOps practices, including CI/CD, containerisation, and workflow orchestration Hands-on experience with ETL/ELT frameworks and big data tools (e.g. Spark, Airflow, Hive) Proficiency in programming languages such as Python, Java, and SQL Experience with SQL and NoSQL database design and optimisation Strong understanding of batch and streaming data processing Degree in a STEM-related field; Masters degree desirable Data engineering certifications (e.g. IBM Certified Data Engineer) are advantageous Responsibilities: Design, develop, deploy, and support scalable data infrastructure, pipelines, and architectures Orchestrate ingestion and storage of raw data into structured and unstructured data solutions Implement reliable, automated, and well-tested data ingestion and processing workflows Build and maintain batch and real-time data processing systems Manage and optimise performance, reliability, scalability, and security of data platforms Support data governance, quality, and compliance requirements Prepare data pipelines for descriptive, predictive, and prescriptive analytics Collaborate closely with data scientists, architects, IT teams, and business stakeholders Identify opportunities for new data acquisition and improved data utilisation Monitor, manage, and enhance data quality and reliability through automated tooling Technologies: Airflow Big Data CI/CD ETL Hive IBM Support Java NoSQL Python SQL Security Spark More: We are a dynamic company located in either Edinburgh or Luton, offering a hybrid or onsite work environment as required. We are seeking an experienced Data Engineer to join our team on a contract basis, and we offer a competitive rate of £500 - £600 per day inside IR35. Our team is focused on designing, building, deploying, and maintaining robust data platforms and pipelines in a secure environment, ensuring that our data operations infrastructure is optimised for performance, reliability, scalability, and security. last updated 5 week of 2026