data engineer
Posted Today by Randstad
£400 Per day
Inside
Undetermined
city of london, london
Summary: An established leader in the fintech space is seeking a Data Engineer for a 12-month contract in London. The role involves designing and optimizing data frameworks for machine learning models and user applications within a cloud environment. This position offers the potential for a permanent role based on cultural fit and technical challenges. Candidates will work with a modern tech stack and collaborate with data scientists and engineering teams.
Key Responsibilities:
- Design, implement, and scale production-ready batch and real-time data streaming flows within a Google Cloud environment.
- Integrate automated testing, data quality guardrails, and monitoring tools to guarantee system health, security, and compliance.
- Collaborate with data scientists and product engineering teams to map out data ingestion pipelines and support MLOps initiatives.
- Contribute to architecture blueprints and participate in peer code reviews to maintain high engineering standards.
Key Skills:
- Cloud: GCP
- Warehousing: BigQuery / Snowflake
- Orchestration: Airflow
- Backend: Python, SQL, Shell
- Languages: Scala / Java
- DevOps: Terraform, Docker, Kubernetes
- Observability: Monte Carlo
- BI: Looker
- AI/ML: MLOps
Salary (Rate): £400 a day
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: inside IR35
Seniority Level: undetermined
Industry: IT
Data Engineer
London
12 Months Contract
£400 a day Inside IR35
An established leader in the fintech space is urgently hiring a Data Engineer for a 12-month contract. In this role, you will help design and optimize high-throughput data frameworks that feed advanced machine learning models and drive high-performance user applications.
This role offers a unique chance to work across a modern, full-stack cloud data environment with a clear path toward a permanent position if you love the culture and the technical challenges.
Key Responsibilities
- Design, implement, and scale production-ready batch and real-time data streaming flows within a Google Cloud environment.
- Integrate automated testing, data quality guardrails, and monitoring tools to guarantee system health, security, and compliance.
- Collaborate with data scientists and product engineering teams to map out data ingestion pipelines and support MLOps initiatives.
- Contribute to architecture blueprints and participate in peer code reviews to maintain high engineering standards.
As a Data Engineer you will have the following key skills
- Cloud: GCP
- Warehousing: BigQuery / Snowflake
- Orchestration: Airflow
- Backend: Python, SQL, Shell
- Languages: Scala / Java
- DevOps: Terraform, Docker, Kubernetes
- Observability: Monte Carlo
- BI: Looker
- AI/ML: MLOps
London | 12 Months Contract |£400 a day Inside IR35
If you want to work in an organisation where engineering quality is deeply respected, this is it. You will get deep exposure to cutting-edge cloud infrastructure, tackle massive data scale, and collaborate with a world-class team.If the above seems of interest to you then please apply directly to the AD or send CV to Iram.Shariff@randstaddigital.com
Randstad Technologies is acting as an Employment Business in relation to this vacancy.