Data Engineer
Data Engineer
Pay Rate: £490/day (Inside IR35)
Clearance Required: SC required. Candidates holding SC with another governing body. Current timescales for SC transfer are approx. 8 weeks+ from submission of application.
Duration: 6 months
Location: Mostly Remote (Telford - 2x/month onsite)
Industry: Public Sector
Job Description:
We're seeking a Data Engineer to join a Data Acquisition team supporting one of the Public Sector's strategic SAS-based data platforms, designed to industrialise the identification and risking of tax-related activity. The platform is currently deployed for Self Assessment and VAT Repayment Risking, and is expanding to support a broader range of applications.
This team plays a critical role in ingesting and integrating data from a wide variety of sources, supporting high-impact programmes such as Making Tax Digital (MTD) and Income Tax Self Assessment (ITSA), as well as new initiatives like Agent Registration Risking.
Key Responsibilities:
Lead the design, development, and deployment of data integration and transformation solutions using Pentaho, Denodo, Talend, and SAS; architect and implement scalable data pipelines and services supporting Business Intelligence and analytics platforms; collaborate with cross-functional teams to gather requirements, define technical specifications, and deliver robust data solutions; champion Agile and Scrum methodologies, ensuring timely delivery of sprints and continuous improvement; drive DevOps practices for CI/CD, automated testing, and deployment of data services; mentor and guide junior engineers, fostering a culture of technical excellence; ensure data quality, governance, and security standards are upheld across all solutions; and troubleshoot and resolve complex data issues and performance bottlenecks.
Key Skills:
Strong expertise in ETL tools (Pentaho, Talend); experience with data virtualization using Denodo; proficiency in SAS for data analytics and reporting; solid understanding of Agile and Scrum frameworks; hands-on experience with DevOps tools and practices (Jenkins, Git, Docker, Kubernetes); strong SQL and data modelling skills; and excellent problem-solving, communication, and leadership abilities.
Key Qualifications:
Proven track record of leading data projects and teams. Certifications in Agile/Scrum, DevOps, or relevant data technologies are a plus.
If this matches your skills and experience, please apply today!