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Data Engineer

Schrader Commercial PropertiesLondon, England, United Kingdom

1 day ago

Job type

Full-time

Job description

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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.

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Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Data Infrastructure and Analytics

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Data Engineer • London, England, United Kingdom