Salary: £18,000 - 18,000 per year Requirements: Extensive enterprise experience with Hadoop, Spark, and Splunk. Proficiency in object-oriented and functional scripting, particularly in Python. Skilled in handling raw, structured, semi-structured, and unstructured data (SQL and NoSQL). Experience integrating large, disparate datasets using modern tools and frameworks. Strong background in building and optimizing ETL/ELT data pipelines. Familiarity with source control and implementing Continuous Integration, Delivery, and Deployment via CI/CD pipelines. Experience supporting and collaborating with BI and Analytics teams in fast-paced environments. Ability to pair program and work effectively with other engineers. Excellent analytical and problem-solving abilities. Knowledge of agile methodologies such as Scrum or Kanban is a plus. Comfortable representing the team in standups and problem-solving sessions. Capable of driving the creation of technical test plans and maintaining records, including unit and integration tests, within automated test environments to ensure high code quality. Promote SRE (Site Reliability Engineering) culture by addressing challenges through data engineering. Ensure service resilience, sustainability, and adherence to recovery time objectives for all delivered software solutions. Demonstrated ability and enthusiasm for enhancing team performance. Strong active listening and effective communication skills. Self-mastery, with a focus on positive mindsets and professional behaviours. Maintains up-to-date expertise in current tools, technologies, and key areas such as cybersecurity, data privacy, consent, and data residency regulations. Engages with industry groups and external vendors to represent and advance our interests and influence. Takes accountability for ensuring control and compliance throughout the engineering process. Champions innovation and the adoption of advanced technologies and best practices within the domain. Responsibilities: Lead and develop data engineering platforms within our organization. Integrate large, disparate datasets using modern tools and frameworks. Build and optimize ETL/ELT data pipelines for improved performance. Collaborate with BI and Analytics teams to support their data needs in a fast-paced environment. Engage in pair programming to enhance collaboration with fellow engineers. Represent the team during standups and contribute to problem-solving sessions. Create technical test plans and maintain records for high code quality. Promote Site Reliability Engineering culture in our data engineering practices. Ensure the resilience and sustainability of all delivered software solutions. Champion innovation and the adoption of advanced technologies and best practices in our domain. Maintain compliance with control processes throughout the engineering workflow. Technologies: CI/CD ETL Hadoop Support Kanban NoSQL Python SQL Spark Splunk More: We are a forward-thinking company based in Sheffield, offering a hybrid working arrangement with three days onsite. We seek a Lead Data Engineer to join our dynamic team for a 9-month contract. This role comes with a competitive daily rate of £430 and presents an exciting opportunity for someone passionate about data engineering and driving team performance. We value innovation, collaboration, and a commitment to excellence, and we look forward to welcoming a new member who shares our values. last updated 9 week of 2026