Salary: £60,000 - 90,000 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, focusing 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 the clients 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. Collaborate with BI and Analytics teams to support data-driven decision-making. Build and optimize ETL/ELT data pipelines for effective data processing. Integrate large, disparate datasets using modern tools and frameworks. Implement Continuous Integration, Delivery, and Deployment via CI/CD pipelines. Drive the creation of technical test plans and maintain records of tests to ensure high code quality. Represent the team in standups and problem-solving sessions. Promote SRE culture and ensure service resilience in delivered solutions. Stay informed about current tools, technologies, and regulations in the field. Engage with industry groups and vendors to advocate for the clients interests. Technologies: CI/CD ETL Hadoop Support Kanban NoSQL Python SQL Spark Splunk More: We are seeking a Lead Data Engineering Consultant for a contract position in Sheffield, working in a hybrid capacity with three days per week onsite. Our ideal candidate will have a proven track record in leading and developing data engineering platforms, with an attractive rate of up to £423.78 per day Umbrella inside IR35. We value innovation and collaboration within our team and look for someone who is enthusiastic about enhancing team performance and staying at the forefront of data engineering technologies. last updated 9 week of 2026