Data Engineer (SFIA 4)

Data Engineer (SFIA 4)

Full-Time 36000 - 60000 £ / year (est.) No working from home possible
Zaizi Ltd

At a Glance

  • Tasks: Design and build modern data pipelines for impactful digital services in the UK public sector.
  • Company: Join Zaizi, a forward-thinking tech company focused on data engineering excellence.
  • Benefits: Enjoy 25 days holiday, medical insurance, flexible working, and training opportunities.
  • Other info: Collaborative environment with a focus on continuous improvement and career growth.
  • Why this job: Make a real difference by improving data use in government projects.
  • Qualifications: Strong SQL skills and experience with data engineering tools and practices.

The predicted salary is between 36000 - 60000 £ per year.

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

  • 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

  • Strong commercial experience in 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.

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- Nat Hinds-Head of Talent Kayla Kirby-Talent Acquisition Specialist

Data Engineer (SFIA 4) employer: Zaizi Ltd

Zaizi is an exceptional employer, offering a dynamic work culture that empowers employees to make impactful decisions while working on exciting projects within the UK public sector. With a strong commitment to employee growth, we provide ample training opportunities, flexible working arrangements, and a supportive environment that encourages innovation and continuous improvement in data engineering practices.

Zaizi Ltd

Contact Details:

Zaizi Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer (SFIA 4)

Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repository or a personal website, having tangible examples of your work can really set you apart from the crowd.

Tip Number 3

Prepare for those interviews! Research common data engineering interview questions and practice your answers. Be ready to discuss your experience with data pipelines, SQL, and any tools you've used. Confidence is key!

Tip Number 4

Apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it shows you're genuinely interested in the role and the company. Don't hesitate – hit that apply button!

We think you need these skills to ace Data Engineer (SFIA 4)

Data Pipeline Development
SQL
Python
Data Integration
Data Transformation
Data Orchestration Tools
Analytical Data Stores

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data pipelines and analytics platforms. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!

Show Off Your Technical Skills:Since this role is all about data engineering, be sure to mention your strong SQL skills and any programming languages you’re comfortable with, like Python. We love seeing practical examples of how you've applied these skills in past roles.

Communicate Clearly:Remember, you’ll be working with both technical and non-technical stakeholders. Use clear language in your application to explain your data concepts and experiences. This will show us that you can bridge the gap between different teams effectively.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at Zaizi Ltd

Know Your Data Engineering Basics

Make sure you brush up on your data engineering fundamentals. Understand the key concepts of building and operating data pipelines, as well as the tools and technologies mentioned in the job description. Being able to discuss your experience with SQL, Python, and data integration tools will show that you're ready for the hands-on nature of the role.

Showcase Your Problem-Solving Skills

Zaizi is looking for someone who can work independently on well-defined problems. Prepare examples from your past experiences where you've successfully tackled challenges in data engineering. Highlight how you selected appropriate tools and approaches to deliver effective solutions.

Communicate Clearly with Stakeholders

Strong communication skills are essential for this role. Practice explaining complex data concepts in simple terms, as you'll need to engage with both technical and non-technical stakeholders. Think of scenarios where you've had to bridge the gap between different teams and how you made those interactions successful.

Emphasise Continuous Improvement

Zaizi values a commitment to continuous improvement in data practices. Be prepared to discuss how you've contributed to enhancing data platforms or processes in your previous roles. Share specific examples of how you've implemented best practices or learned from failures to drive better outcomes.