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.

Machine Learning Jobs Skills Radar 2026: Emerging Tools, Frameworks & Platforms to Learn Now

Machine learning is no longer confined to academic research—it's embedded in how UK companies detect fraud, recommend content, automate processes & forecast risk. But with model complexity rising and LLMs transforming workflows, employers are demanding new skills from machine learning professionals. Welcome to the Machine Learning Jobs Skills Radar 2026—your annual guide to the top languages, frameworks, platforms & tools shaping machine learning roles in the UK. Whether you're an aspiring ML engineer or a mid-career data scientist, this radar shows what to learn now to stay job-ready in 2026.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.