National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer

Vauxhall
1 week ago
Create job alert

Data Engineer

We’re looking for a Data Engineer to join our fast-moving, hands-on data engineering team. This isn’t a traditional pipelines-for-analysts role - you’ll be building data systems and products that directly power real-time applications, internal tooling, and commercial projects across the business.

Entrepreneurial and autonomous - we prototype fast, ship often, and embrace hands-on problem-solving; maturing projects as they become foundational parts of the company's infrastructure, whether that means writing resilient, test-driven code, designing for observability, or building systems that can scale and recover gracefully. You’ll have the space to experiment and the responsibility to stabilise when it counts.

You’ll work across AWS and GCP, using a modern, containerized, event-driven stack. From real-time data processing to batch workflows, from APIs to backend services, you’ll help evolve our data fabric — the foundation for how data flows and generates value across the business.

What you’ll be doing:

-Design and build real-time, event-driven, and batch data pipelines using Python.

-Develop and deploy containerized microservices using Docker, running in ECS Fargate or similar cloud-native environments.

-Work across AWS and GCP, leveraging services like Lambda, Kinesis, SQS, EventBridge, AWS Batch, Spark, and BigQuery to power cross-cloud data products.

-Build and integrate with RESTful APIs to expose data services and connect systems.

-Contribute to CI/CD pipelines using Terraform, Docker, and Git-based workflows.

-Write unit and integration tests using pytest, applying TDD principles where it makes sense.

-Use ORMs and validation frameworks (e.g. Django ORM, Pydantic, SQLAlchemy) to model and persist data cleanly.

-Help monitor and debug production systems using tools like CloudWatch, X-Ray, and structured logging.

-Collaborate on prototype-to-production projects - balancing speed and stability depending on context.

What we’re looking for:

-Experience: 3+ years in data engineering or backend development, ideally in a fast-paced or product-led environment.

-Python skills: Confident writing clean, modular, and testable code - you’ve likely worked with pytest and TDD where it makes sense.

-Cloud Fluency: Solid experience with AWS (especially Lambda, Kinesis, SQS, EventBridge) and familiarity with GCP, including BigQuery.

-Containerisation: Comfortable building and deploying containerised applications using Docker, ideally in ECS Fargate or similar.

-APIs & Microservices: Hands-on experience building and integrating with RESTful APIs using FastAPI, Django REST Framework, or similar.

-Data Workflows: Experience designing and maintaining real-time and batch data pipelines, including dbt Core and stream processing tools.

-Infrastructure Know-How: Confident working with Terraform and CI/CD pipelines in a cloud-native environment.

-Database Familiarity: Skilled in both SQL and NoSQL (PostgreSQL, DynamoDB, OpenSearch, or equivalents), using ORMs like Django or SQLAlchemy.

-Observability & Monitoring: Comfortable using tools like CloudWatch, X-Ray, and structured logging to keep systems running smoothly.

-Mindset: Curious, Collaborative, and Proactive - you enjoy solving problems hands-on and aren’t afraid to experiment, learn, and iterate.

Meet Citywire 

We cover - and connect - all sides of the $100 trillion global asset management industry - through our news, events and insights. 

At Citywire, we uphold a culture rooted in honesty, integrity, and fairness, where every voice is valued and heard. Our culture promotes constructive dialogue and collaboration on a global scale. 

Join the team at the Heart of Wealth.

Our perks:

-Generous holiday entitlement: Start with 25 days per annum, increasing to 28 days after three years' service, and 30 days after five years' service, in addition to bank holidays.

-Flexible working options.

-£480 annual allowance for well-being activities or gym memberships, with assistance available for monthly or annual costs.

-Eye-test and glasses allowance.

-Competitive private pension scheme.

-Critical illness cover and group life assurance from day one of employment.

-Well-being support: Access to an independent Employee Assistance Programme, available 24/7.

-Cycle to work scheme and annual travel card loans.

-Techscheme: Purchase the latest tech through our employer scheme, spreading the cost over 12 months with National Insurance savings.

-After two years of continuous service, access group income protection, private medical, and dental insurance.

Citywire is an equal opportunities employer

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

National AI Awards 2025

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 Engineering Jobs Skills Radar 2026: Emerging Frameworks, Tools & Technologies to Learn Now

Data is the new oil—and data engineers are the pipeline builders. In 2026, UK companies aren’t just collecting data—they’re streaming it, transforming it in real-time, and deploying it into AI and BI tools for instant decision-making. But all of this depends on one thing: highly skilled data engineers with a mastery of modern tools and frameworks. Welcome to the Data Engineering Jobs Skills Radar 2026—your annual guide to the languages, platforms, and tools that are defining the future of data engineering jobs in the UK. Whether you're building data lakes, deploying pipelines, or scaling real-time analytics, this guide will keep your skills up to date with what employers really want.

How to Find Hidden Data Engineering Jobs in the UK Using Professional Bodies like BCS, IET & More

As UK organisations continue to scale their data capabilities, the role of the data engineer has become one of the most vital in the digital economy. From designing pipelines and managing infrastructure to enabling machine learning models, data engineers are the backbone of every data-driven organisation. But while demand is high, the most rewarding roles are often never posted publicly. In this article, we’ll show you how to discover hidden data engineering jobs in the UK by strategically engaging with professional bodies like the BCS, IET, TechUK, and UK data communities. By joining specialist groups, attending CPD events, and using member directories, you can unlock a wave of unseen job leads—and connect with hiring managers long before roles are advertised.

How to Get a Better Data Engineering Job After a Lay-Off or Redundancy

Redundancy can be unexpected and unsettling, especially in a field as technically demanding as data engineering. But the good news is: your skills are still in high demand. The UK continues to see strong growth in data infrastructure, cloud analytics, machine learning pipelines, and data governance roles. Whether you're a big data engineer, ETL specialist, cloud data platform expert, or someone working in real-time streaming and pipelines, there are new opportunities to rebuild and rebrand your career. This guide is designed to help UK-based data engineers bounce back after a redundancy, with a step-by-step roadmap to relaunch into a stronger, better-aligned role.