Data Engineer

Citywire
Greater London, UK
1 day ago
Apply on www.collegerecruiter.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Airflow Amazon Web Services Amazon S3 Business Logic BigQuery Continuous Integration Data Stores Software Debugging Distributed Systems Python (Programming Language) Operational Databases Standard Sql
+10 more
Shell Script SQL Databases Data Logging Apache Spark Event Driven Architecture Amazon Relational Database Service Containerization AI Platforms Functional Programming Amazon Simple Queue Service (SQS)

Job description

  • Production data modelling: Translate analyst requirements and SQL into robust, production-grade dbt models (source * warehouse * reporting layers). You’ll own data contracts, documentation, testing, and scheduling, with orchestration managed via Prefect.
  • Large-scale fund and manager performance computation: Help decompose a legacy performance engine into a modern, event-driven AWS architecture (EventBridge, SQS, Lambda, S3, RDS). You’ll build parallel compute pipelines using Spark on EMR (no deep prior Spark experience needed, just a strong curiosity for distributed systems).
  • Data models for AI systems: Partner with the Platform Lead to design, build, and maintain the data models powering our AI platform - spanning fund and share class data, clickstream interactions, and CRM and finance systems.
  • Alerting and observability: Ensure operational health across all pipelines via structured logging, metrics, DLQ tracking, and purposeful alerting. We view observability as a core engineering practice and will support your growth in designing resilient event-driven systems.
  • Work directly with the analyst team and the data quality team, from requirement through deployment.

Requirements

  • Real dbt experience: You’ve built and maintained models in a genuine project - incremental logic, tests, an understanding of why downstream consumers matter. It doesn’t need to have been enormous; it needs to have been real. BigQuery experience is a plus; another warehouse is fine.
  • Solid Python and SQL skills, with the instinct that code going to production deserves tests.
  • Practical AWS Experience: You have hands-on experience deploying and debugging in AWS. You don’t need to know every service we use on day one - we’ll teach you our specific stack.
  • Strong CLI Skills: Proficient with terminal-driven workflows, containerized environments, and shell scripting for debugging, automation, and local development.
  • Pragmatic AI Tooling: You leverage AI coding assistants to speed up your workflow, but bring critical oversight to their output - reviewing, testing, and verifying generated code rather than shipping it on faith.
  • Data Intuition & Rigor: You look beyond passing CI/CD checks. When a pipeline runs green but the outputs look off, you dig into the numbers, comparing runs, spotting unexpected anomalies, and validating the business logic behind the data.
  • Accountability & Resilience: You take pride in what you build. You learn from production mistakes, own the outcome, and prefer holding accountability for your own pipelines over handing off maintenance to someone else.
  • Collaborative Communication: You can sit side-by-side with analysts, understand the intent behind their SQL, and partner with them to translate complex business logic into efficient, production-ready solutions., * Frameworks & Tools: Spark on EMR, Prefect (or experience transferring from Airflow/Dagster), OpenSearch.
  • Architecture: Event-driven design patterns, SurrealDB or graph data stores.
  • Domain Knowledge: Financial services or asset management context.

Benefits & conditions

  • 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.
  • 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. #J-18808-Ljbffr

About the company

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.collegerecruiter.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon ¡ World Congress 2026 Europe

2:57 min

Core technical practices for robust data engineering

Sandhya Menon Sandhya Menon ¡ World Congress 2026 Europe

3:43 min

The enduring legacy of the amazon S3 storage API

Chris Heilmann +3 ¡ LIVE

2:30 min

Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph ¡ LIVE

3:44 min

Automating storage savings with S3 intelligent tiering

SÊbastien Stormacq ¡ World Congress 2021

3:27 min

Explaining query execution overhead and caching limitations in BigQuery

Adnan Rahic ¡ JS Congress

Videos

See all

Related articles

See all