Senior Data Engineer x1​/Data Engineer x1; Financial Services

Position: Senior Data Engineer x1/ Data Engineer x1 (Financial Services) (Contract)
Your new company

Working for a renowned commodity, metals, trades and exchange group.
You'll be a key part of the Enterprise Data team helping to replace legacy ETL tools (Informatica) and deliver modern data engineering capabilities. Your work will include managing data pipelines, supporting analysis and visualisation, 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. This is a hands-on role for someone with strong data engineering skills and experience in regulated environments.

Your new role

Design, build, and maintain scalable data pipelines and infrastructure for analytics and integration across data platforms.
Ensure data quality and reliability through automated validation, monitoring, and testing using Python, Java, or Scala.
Develop and manage database architectures, including data lakes and warehouses.
Clean, transform, and validate data to maintain consistency and accuracy.
Collaborate with technical and non-technical teams, providing clear communication on project progress and requirements.
Create and maintain accurate technical documentation.
Support internal data analysis and reporting for business objectives.
Investigate and resolve data-related issues, implementing improvements for stability and performance.
Evaluate and prototype solutions to ensure optimal architecture, cost, and scalability.
Implement best practices in automation, CI/CD, and test-driven development.

What you'll need to succeed

Strong experience in Data Engineering, with demonstrable lead 5involvement in at least one production-grade data system within financial services or a similarly regulated industry.
Strong coding skills in Python or Java (Spring Boot);
React experience is a plus.
Proficiency with modern data tools:
Airflow, Spark, Kafka, dbt, Snowflake or similar.

Experience with cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD.
Data Quality:
Proven ability to validate and govern data pipelines, ensuring data integrity, correctness, and compliance.
Experience working within financial services/ highly regulated environments.
Bonus

Skills:

SQL and RDBMS (Postgre

SQL, SQL Server).
No

SQL/distributed databases (Mongo

DB).
Streaming pipelines experience.

What you'll get in return
An exciting opportunity to join an international organisation in financial services. Furthermore, a competitive day rate inside IR35 for this role will be offered in addition to your own dedicated Hays Consultant to guide you through every step of the application process.

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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