Salary: £65,000 - 65,000 per year Requirements: Strong experience in data engineering roles Proven leadership or line management experience Hands-on experience with cloud platforms (AWS or Azure; GCP beneficial) Strong SQL skills and experience with relational databases Python development experience and familiarity with frameworks (e.g. Flask, Django) Experience building and orchestrating ETL pipelines (e.g. Airflow, Luigi, Argo) Exposure to big data technologies (e.g. Spark, Kafka, Hadoop) Experience working in Agile environments Solid understanding of data architecture and data quality best practices Responsibilities: Designing and building data pipelines, models, and architectures Developing and maintaining ETL/ELT processes using modern tools Implementing data storage solutions across relational, non-relational, and cloud platforms Ensuring data quality, reliability, and operational excellence Leading the design and delivery of new data products and pipelines Collaborating closely with stakeholders and technical teams Providing technical leadership and mentoring within delivery teams Technologies: Airflow AWS Azure Big Data Cloud Django ETL Flask GCP Hadoop Kafka Python SQL Spark More: We are Lynx and we are currently working with a large IT consultancy to help them source a Data Engineer. Our client is a large global consultancy that works with enterprise clients, solving their business and technology problems using cutting-edge solutions. We offer a remote working environment and believe in fostering a strong, collaborative team that values innovation and excellence. last updated 5 week of 2026