Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Engineer

Parliamentary Digital Service
Greater London
3 days ago
Create job alert

The Opportunity

Are you passionate about data engineering? The Open Data team at the Parliamentary Digital Service (PDS) is beginning the development of a new Open Data Platform for parliamentary procedure data, replacing existing platforms and their associated data integration and publishing services.


As our Senior Data Engineer you will play a key role in designing, building, and evolving the data platforms that support decision-making across the organisation. This role sits at the intersection of engineering, analytics, and product delivery. You'll work closely with cross-functional teams to provide high-quality, reliable, and scalable data solutions that drive insight and operational excellence.

You'll bring strong software engineering experience - with C# as your primary development language - and the ability to produce clean, scalable, production-ready code as standard. Alongside this, you'll have hands-on cloud experience (Azure preferred, but AWS or GCP also welcome), including deploying, managing, and supporting cloud-hosted data services and applications.
Using your advanced technical expertise and experience delivering modern data systems, you'll help shape our data strategy, improve how teams access and use data, and ensure our platforms remain secure, resilient, and future-ready.

design, build, and maintain scalable, high-quality data pipelines and ETL/ELT workflows that support analytics, reporting, and product development.
assess, recommend, and implement modern data technologies and tooling to meet organisational requirements.
develop and optimise data models, warehouses, and storage layers to ensure performance, reliability, and ease of use.
work closely with multidisciplinary teams to embed data engineering best practice throughout the product and development lifecycle.
collaborate with internal customers to understand data needs, provide technical guidance, and promote confident, effective use of data systems.

What You Need

If you have strong software engineering experience, with C# as a primary development language, and the ability to write clean, scalable, production-ready code then we want to hear from you. You should also have:

demonstrable experience designing and building ETL/ELT data pipelines and integrating data from multiple upstream sources.
proven cloud experience (Azure (preferred), AWS, or GCP), including deploying, managing, and supporting cloud-hosted data services and applications.
experience developing and maintaining APIs and data services, including implementing automated testing (unit and integration tests).
strong knowledge of containerisation and deployment approaches (e.g. cloud container services (preferred), Docker or Kubernetes) and CI/CD practices.
experience working with public-facing data platforms or open data services, including data modelling, metadata, or data standards.
the ability to pass security clearance, backed by the right to work in the UK

About The Team

Within PDS, the Data & Search Team enables data-driven services that power search, insights, information discovery and public data accessibility across Parliament. Data & Search works collaboratively with teams across PDS and Parliament to model, curate, transform and deliver high-quality data and data services.

The Open Data team, part of the Data & Search, is responsible for defining and delivering Parliament's open data strategy, as well as managing open data products and services. Our core service is the Open Data Platform. The team is now beginning development of a new Open Data Platform for parliamentary procedure data, which will replace existing platforms and the data integration and publishing services that support them.

We are seeking an experienced Data Engineer who will play a central role in building and supporting the new platform. The role will focus on developing the ETL data pipeline framework to integrate upstream master data from parliamentary business systems, as well as engineering new data services, including APIs and web-client applications.

The Data Engineer will be a key contributor within the Open Data team, working as part of the wider Data & Search domain, and reporting to the Head of Open Data.

About Us

UK Parliament is steeped in history and tradition. It is an important part of UK life and we need to ensure as many people as possible can engage with its work. This is why we are at the start of a huge transformation programme powered by technology. The Parliamentary Digital Service (PDS) works with the House of Commons and the House of Lords with all their IT and digital needs. We are here to realise the digital ambitions of a modern Parliament and welcome you to join us in building a digital democracy.

Our Package

Please refer to our Candidate Information Pack for a full list of our benefits which include:

up to 35 days annual leave in addition to bank holidays
generous maternity pay policy up to 6 months full pay
great pension scheme options (contributory and non-contributory)
on-site subsidised gym, nursery, catering, post office, travel office and GP
flexible options including hybrid working and family friendly policies

How To Apply

Please make sure you're clear on the requirements of the role. These can be found in the Job Description and Candidate Information Pack. You will need to upload a CV and show how you meet criterions 1, 2 and 3. Our application process is anonymous, so please remove any personal information from your CV.

Apply By:

Interviews: 11th December 2025

Format: Panel Interview (Remote)

Our Culture

For our people, we provide an amazing opportunity to bring their talents to an institution that sits right at the heart of society in the UK. We are helping to change UK Parliament and strengthen democracy. What matters here is your potential for growth and your commitment to playing your part in our ongoing success.

We are passionate about providing an environment which promotes inclusion, diversity and equality. Regardless of your age, gender, ethnicity, beliefs or any of the other things that make you, you. We welcome applications from people who feel under-represented in the workforce. This includes those who may feel disadvantaged because of their socioeconomic circumstances.

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.