Data Engineer (SFIA 4) in London
Data Engineer (SFIA 4)

Data Engineer (SFIA 4) in London

London Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and build modern data pipelines for impactful digital services in the UK public sector.
  • Company: Zaizi, a forward-thinking tech company focused on data engineering.
  • Benefits: 25 days holiday, medical insurance, flexible working, and training opportunities.
  • Why this job: Join a dynamic team to make a real difference with data in government projects.
  • Qualifications: Experience in data engineering, SQL, and programming languages like Python.
  • Other info: Embrace a culture of continuous improvement and innovation in a supportive environment.

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

  • 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:

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

Data Engineer (SFIA 4) in London employer: Zaizi

Zaizi is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within multidisciplinary teams. With a strong commitment to employee growth, we provide ample opportunities for training and development, alongside a comprehensive benefits package that includes flexible working arrangements and generous holiday allowances. Join us in making a meaningful impact on the UK public sector through cutting-edge data engineering practices.
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Contact Detail:

Zaizi Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current Zaizi employees on LinkedIn. Building relationships can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data engineering projects. Whether it's a GitHub repo or a personal website, having tangible examples of your work can really impress hiring managers.

✨Tip Number 3

Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've tackled real-world problems and how you can contribute to Zaizi's mission of improving data use in the public sector.

✨Tip Number 4

Don't hesitate to apply through our website! Even if you don't tick every box, we value diverse experiences and perspectives. You might just be the perfect fit for us at Zaizi!

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

Data Pipeline Design
Data Transformation
SQL
Python
Data Integration Tools
Analytical Data Stores
DevOps Practices
Cloud Platforms
Open-Source Tools
Cross-Functional Team Collaboration
Communication Skills
Continuous Improvement
Customer-Facing Skills
Understanding of UK Government Standards

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Data Engineer role. Highlight your experience with data pipelines, SQL, and any relevant programming languages like Python. We want to see how your skills align with what we're looking for!

Showcase Your Projects: Include examples of past projects where you've designed or built data solutions. Whether it's a data pipeline or an analytics platform, we love seeing real-world applications of your skills. This helps us understand your hands-on experience!

Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your experience and how it relates to the role. We appreciate a well-structured application that gets straight to the point!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at Zaizi!

How to prepare for a job interview at Zaizi

✨Know Your Data Engineering Basics

Before the interview, brush up on your data engineering fundamentals. Be ready to discuss how you design and build data pipelines, as well as your experience with SQL and programming languages like Python. Zaizi will want to see that you can apply sound data engineering practices effectively.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled well-defined problems in previous roles. Zaizi values candidates who can work independently and exercise judgement in selecting tools and approaches. Think about specific challenges you've faced and how you overcame them.

✨Understand the GDS Standards

Familiarise yourself with the UK Government Digital Service (GDS) standards and data principles. Zaizi is looking for someone who respects these guidelines, so be prepared to discuss how you've applied them in your past work or how you would in this role.

✨Communicate Clearly

Practice explaining complex data concepts in simple terms. Zaizi needs someone who can communicate effectively with both technical and non-technical stakeholders. Think of ways to demonstrate your strong communication skills during the interview.

Data Engineer (SFIA 4) in London
Zaizi
Location: London
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  • Data Engineer (SFIA 4) in London

    London
    Full-Time
    36000 - 60000 £ / year (est.)
  • Z

    Zaizi

    50-100
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