Job Description

Zaizi is looking for a Senior Data Engineer to design, build and operate modern data pipelines and analytics platforms for digital services across the UK public sector.


You will work as part of multidisciplinary, agile teams to enable organisations to collect, process and use data effectively, supporting operational reporting, analytics and insight.


The role is hands-on and delivery-focused, with responsibility for applying sound data engineering practices rather than promoting any single technology or cloud provider.


This role suits someone who can work independently on well-defined problems, exercise judgement in selecting appropriate tools and approaches, and contribute to the continuous improvement of data platforms and ways of working in line with GDS standards, government data principles, and secure-by-design practices.

Requirements

We are happy to discuss these further during the interview process and jointly agree them with the successful candidate.

Design, build and maintain reliable data pipelines to ingest, transform and serve data from multiple sources. Develop analytics-ready data models that support reporting, operational insight and downstream analysis. Support the full data lifecycle, including data retention, archiving and decommissioning, in line with data policy and statutory obligations. Apply data quality, testing and monitoring practices to ensure data is trustworthy and fit for purpose. Understand user and business needs and translate them into practical, well-engineered data solutions. Contribute to shared data standards, documentation and data dictionaries. Work collaboratively with delivery teams and customers to identify opportunities where better use of data can improve outcomes.

Technical

You will have strong commercial experience in a number of the following areas:

Building and operating data pipelines using modern data engineering patterns (batch and, where appropriate, event-driven). Strong SQL skills and experience with at least one programming language commonly used in data engineering (e.g. Python). Experience with data integration, transformation and orchestration tools. Designing and working with analytical data stores (e.g. data warehouses, lakehouse-style architectures). Applying software engineering and DevOps practices to data (version control, automated testing, CI/CD).

- Working with cloud platforms, while remaining technology- and vendor-agnostic.

Using and contributing to open-source tools and frameworks.

Competencies

Able to work effectively in cross-functional, multidisciplinary teams. Operates at senior level: works independently on defined tasks, applies judgement, and supports others through good engineering practice. Strong communication skills, able to explain data concepts to technical and non-technical stakeholders. Committed to continuous improvement in data engineering practices and platform maturity. Comfortable in customer-facing environments, building trust and credibility. Understands and respects UK Government Digital, Data and Technology (DDaT / GDAT) standards, including security, privacy and governance expectations.

You don't meet all the requirements?

Studies show that women and black, Asian and minority ethnic people are less likely to apply for a job unless they meet every qualification. So if you're excited about this role but your experience doesn't align perfectly with the job description, we'd love you to still apply. You might just be the perfect person for this role, or another role here at Zaizi.

SC Clearance:

Zaizi works with UK Central Government departments on a range of projects. To be able to work on our customer projects, employees must be Security Cleared to a standard acceptable to our Government customers. Due to this restriction we can currently only recruit candidates who have the right to work in the UK without sponsorship and who have lived in the UK for the last 5+ years continuously.

Benefits

25 days paid holiday, plus bank holidays


Vitality medical insurance

Workplace Pension 5% employer contribution

Group Life Assurance

Cycle scheme

5 days a year for approved Training

WFH equipment allowance

Buy / Sell Holiday

2 days paid volunteering days

Other benefits:

Flexible working

Work on exciting projects - make a difference

Empowered to make decisions

Encouraged to fail fast and learn quickly

1-2-1 and team coaching / training available to all our staff

For further information contact- Talentteam@zaizi.com

Nat Hinds-Head of Talent

Kayla Kirby-Talent Acquisition Specialist