Senior Data Engineer
Senior Full-Stack Data Engineer
We are seeking a high-impact Senior Full-Stack Data Engineer to join a growing technology team for a leading investment house supporting market data services within a regulated, enterprise environment.
This role sits at the intersection of data engineering, full-stack development, and business engagement, working closely with stakeholders and external vendors to design and deliver robust, scalable technology solutions aligned to a strategic roadmap.
What you'll do
- Design, build, and maintain reliable, scalable data pipelines supporting complex analytical and sustainability data workloads.
- Ensure data quality, governance, and robustness through modern data engineering practices, automated validation, monitoring, and testing.
- Own and evolve data models and system integrations across multiple platforms and third-party services.
- Deliver data analysis, reporting, and visualisation to support business and technology objectives.
- Lead incident investigation and root-cause analysis for data-related issues, driving continuous improvement.
- Collaborate with enterprise data teams to contribute to data architecture and governance.
- Act as a bridge between technical and non-technical stakeholders, clearly communicating progress, risks, and requirements.
- Contribute to the future data roadmap, including the adoption of AI and emerging data technologies.
What we're looking for
- MUST have 5+ years' experience in data or software engineering within financial services or a similar regulated industry.
- Strong full-stack experience with Python, Java (Spring Boot), React, SQL, and relational databases.
- Hands-on experience with modern data engineering tools (eg Airflow, Spark, Kafka, dbt, Snowflake or similar).
- Experience with cloud platforms, containerisation (Docker/Kubernetes), and CI/CD pipelines.
- Solid understanding of data governance, validation, and compliance.
- A strong advocate for automated testing, observability, and engineering best practice.
- Excellent communication skills and the ability to collaborate in agile, cross-functional teams.
Desirable
- Experience with infrastructure as code (Terraform, Helm).
- Familiarity with monitoring and logging tools (Prometheus, Grafana, ELK).
- Exposure to regulated environments and associated data controls.