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  "job_city": "Bristol",
  "job_state": null,
  "job_title": "Senior Data Engineer (up to 81,736)",
  "job_country": "GB",
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  "job_latitude": 51.415059,
  "job_location": "Keynsham",
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      "publisher": "Rest Less",
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  "employer_name": "Civil Service",
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  "job_posted_at": "1 day ago",
  "job_publisher": "Rest Less",
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  "job_description": "Job summary\n\nAt our heart, we are the department opportunity. We enable children and learners to thrive, by protecting the vulnerable and ensuring the delivery of excellent standards of education, training and care.\n\nData is integral to achieve this vision and the roles on offer are part of the Data Directorate within DfE. As a directorate, we provide a full range of data sourcing, management, governance, sharing, statistics, and visualisation capabilities and products to users across DfE, the education sector, cross-government, and citizens. Were seeking highly capable Data Engineers to help us achieve our vision.\n\nWere striving to create a place thats great to work in. We offer forward-thinking ways of working and training opportunities, as well as providing support from specialist colleagues. On top of that, youll find flexible working, an inclusive culture and a place where your skills can bring tangible change.\n\nJob description\n\nAs a Senior Data Engineer, you will be joining a team of talented data engineering professionals, who are committed to delivering high-impact, secure data solutions to achieve departmental and directorate objectives.\n\nYou will:\n• Work as part of a multidisciplinary team in a large and complex data environment to design, build, and deliver high performance, secure, scalable data solutions - adapting and embedding practices such as CI/CD and DevOps.\n• Partner with the product owners, business analysts, architects, test engineers, and data analysts to understand data needs, and deliver on those needs.\n• Lead and build complex data engineering solutions for data products.\n• Work on Azure cloud-based tech stack, Databricks, Pyspark, Informatica DEI.\n• Ensure the stability, robustness and resilience of the products you build, and be in a position to affect changes to those products where necessary.\n• Coach and mentor junior members of the team to support their professional development.\n• Help build and maintain our data engineering community to facilitate knowledge sharing, innovation, and collaboration across the department.\n• Above all, you will be proactive and want to make an impact, and this may sometimes involve challenging current methods.\n\nPerson specification\n\nEssential Criteria\n\nWe will assess you on the following criteria during the selection process, we are looking for strong experience of/expertise in:\n• Designing, building, and performance tuning complex data pipelines and can manage all data engineering activities required to deliver a data product on any of the following cloud platforms Azure, AWS, Google Cloud.\n• Proficiency in two or more of the following SQL, Python, Apache Spark (Pyspark, Spark SQL).\n• Working with structured and unstructured data, data lakes, large data warehouses to service complex operational and analytical business needs.\n• Implementing latest tools and technologies, including migrating to and implementing modern data architectures, such as lake houses, cloud data warehouses etc.\n• Delivering through Agile/DevOps working practices in multi-disciplinary teams CI/CD, Scrum, Automation.\n• Managing and improving data quality issues including root-cause analysis and recommending/implementing data quality improvement strategies.\n• Managing team dynamics and facilitating difficult discussions within the team or with a diverse set of stakeholders.\n\nDesirable Criteria\n• Databricks, Informatica DEI and Azure Data Factory.\n• Developing complex data models.\n• Developing machine learning solutions.\n\nDesirable criteria will only be assessed in event of a tie break situation to make an informed decision.",
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  "job_employment_type": "Part-time",
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  "job_posted_at_timestamp": 1773964800,
  "job_posted_at_datetime_utc": "2026-03-20T00:00:00.000Z"
}