Senior Data Engineer - Platforms and Tooling

UK Home Office
Croydon
1 week ago
Create job alert
Overview

You could be based at any of the following Home Office hub areas - Croydon, Liverpool, Salford, Sheffield. A Civil Service pension with an employer contribution of 28.97%.

As a Senior Data Engineer in the Platforms and Tooling team, you will maintain, manage and upgrade the Vantage management information (MI) platform with modern cloud technologies such as Microsoft Azure Synapse, SQL, Power BI and Microsoft Fabric.

You will be a key team member, responsible for supervising:

  • Technical Administration.
  • Analytics and MI platform upgrades, efficiency and innovation.
  • Day-to-day issue management and resolution.
  • Help to inform the Tooling and Data Strategies.

You will establish and detail key support processes which enable the Platforms and Tooling team to scale and automate their system maintenance and support activities, improving the service for our end users and developers. The management information (MI) Platforms and Tooling team will collaborate closely with colleagues in the Performance Reporting & Analysis Unit (PRAU) and Home Office Digital, and with teams elsewhere in the Department.

Your main day-to-day responsibilities will be:

  • Designing, building and maintaining cloud platforms and tools to enable management information (MI) teams to work effectively.
  • Working with engineering teams to ensure that MI platforms and tooling are integrated with other systems and that they are compliant with security and regulatory standards.
  • Work with the 1st and 2nd line support teams to handle incidents that they pass to your team and proactively monitor common issues with a view to resolving the underlying cause.
  • Document key platform and tooling configurations and procedures.
  • Provide technical support and deliver training to help other engineers deploy high quality MI services.
  • Develop monitoring and observability tools to agreed standards for both technical and non-technical stakeholders and consumers.
  • Adhere to an ‘accessible by default’ approach in all delivery and documentation activities, working closely with colleagues to implement and enforce accessibility across Power BI reporting and supporting documentation.
  • Supporting colleagues with the broader rollout and adoption of MS Power BI across the organisation.
  • Work with the wider organisation to enable the ingestion of data into the Vantage platform from various sources, in a secure and cost-effective way.
  • Supporting in the successful delivery of completed data loads for customers, Data Engineers and Data Scientists and assisting in the development of new data load programmes.
  • Identifying areas for cost savings and/or greater efficiency.
Qualifications and skills

You’ll have a demonstrable passion for Data, with the following skills or some experience in:

  • Automating repetitive tasks via programming or low/no-code automation tools.
  • Working as part of a team delivering technical products to a varied user base.
  • The delivery of projects in data analysis, solution design and end user reporting.
  • Automation of tasks or development in Power Bi, Azure Automation, Azure Data Factory, Azure DevOps, or Microsoft Fabric.
  • Leveraging modern open-source programming languages, such as Python to develop and deliver high-quality data development and engineering solutions.
  • Effectively managing and communicating with non-technical and senior stakeholders about performance and analysis.
  • Applying data development / engineering techniques such as continuous improvement/continuous development – both in theory and practice or a strong aptitude to learn.
  • Identifying, diagnosing and resolving issues with consideration for their wider impact on other teams and customers.
  • Effective line management is required for this role.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer (2 days onsite in London)

Senior Data Engineer (AWS, Airflow, Python)

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

The Skills Gap in Data Science Jobs: What Universities Aren’t Teaching

Data science has become one of the most visible and sought-after careers in the UK technology market. From financial services and retail to healthcare, media, government and sport, organisations increasingly rely on data scientists to extract insight, guide decisions and build predictive models. Universities have responded quickly. Degrees in data science, analytics and artificial intelligence have expanded rapidly, and many computer science courses now include data-focused pathways. And yet, despite the volume of graduates entering the market, employers across the UK consistently report the same problem: Many data science candidates are not job-ready. Vacancies remain open. Hiring processes drag on. Candidates with impressive academic backgrounds fail interviews or struggle once hired. The issue is not intelligence or effort. It is a persistent skills gap between university education and real-world data science roles. This article explores that gap in depth: what universities teach well, what they often miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in data science.

Data Science Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Thinking about switching into data science in your 30s, 40s or 50s? You’re far from alone. Across the UK, businesses are investing in data science talent to turn data into insight, support better decisions and unlock competitive advantage. But with all the hype about machine learning, Python, AI and data unicorns, it can be hard to separate real opportunities from noise. This article gives you a practical, UK-focused reality check on data science careers for mid-life career switchers — what roles really exist, what skills employers really hire for, how long retraining typically takes, what UK recruiters actually look for and how to craft a compelling career pivot story. Whether you come from finance, marketing, operations, research, project management or another field entirely, there are meaningful pathways into data science — and age itself is not the barrier many people fear.