Senior Data Engineer (Financial Services)
| Posting date: | 08 January 2026 |
|---|---|
| Salary: | £650.0 to £825.0 per day |
| Additional salary information: | £650-825 Per Day (Inside IR35) |
| Hours: | Full time |
| Closing date: | 15 January 2026 |
| Location: | London, London, EC2V 6DN |
| Company: | Hays Specialist Recruitment |
| Job type: | Contract |
| Job reference: | 4757777_1767861810 |
Summary
Your new company
Working for a renowned financial services organisation
Your new role
Seeking a Senior Data Engineer to help build scalable, high-quality data solutions/ platforms that enable analytics and business insights. This is a hands-on role for someone with strong data engineering skills and experience in regulated environments. Working for a renowned commodities, metals, trades, exchange group, you'll be working on a strategic metals initiative, delivering platform cost efficiencies and modernising ETL processes. You will Design, implement, and maintain robust data pipelines and infrastructure to support integration across data warehouses/ lakes or critical to ensure reliability and scalability.
You'll be a key part of the Enterprise Data team helping to replace legacy ETL tools (Informatica) and deliver a modern data engineering platform. Your work will include building out a new platform from scratch, managing data pipelines, supporting analysis and visualization, and collaborating with ETL developers and wider technology teams to deliver solutions aligned with our strategic roadmap.You'll work across backend, data, and infrastructure engineering, contributing to solution design, implementation, deployment, testing, and support.
What you'll need to succeed
- You are a seasoned Data Engineer
- Experience building new data platforms from scratch, including low‑level and high‑level design.
- Strong coding skills in Java (Spring Boot) for data engineering and services.
- Proven background working within financial services environments.
- Hands-on experience building and managing Apache Airflow/ Spark and Hadoop clusters.
- Deep experience in big data engineering, including Hadoop, Kafka, and Spark‑based data pipelines.
- Strong SQL/ RDBMS experience: PostgreSQL, SQL Server.
- Experience with NoSQL / distributed databases, such as MongoDB.
- Proven delivery of streaming pipelines and real‑time data processing solutions.
- Cloud experience with AWS, Azure, or GCP (open to any).
- Skilled with containerisation technologies: Docker and Kubernetes.
- Experience implementing and maintaining CI/CD pipelines and modern DevOps practices.
What you'll get in return
Flexible working options available.
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
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