The Role
We’re working with a leading global organisation to hire an experienced Data Engineer to help build and scale modern data platforms that power analytics, trading, and operational decision-making.
This is a hands-on engineering role within a high-performing data and business engineering environment. You’ll work closely with engineers, data scientists, and business stakeholders to design and deliver robust data solutions, develop production-grade pipelines, and support the ongoing evolution of the organisation’s data platform.
Responsibilities
- Design, build, and maintain scalable data pipelines and data platform components
- Develop Python-based data workflows using orchestration tools such as Dagster or Airflow
- Extract and integrate data from internal systems, external sources, and APIs
- Support the development and optimisation of cloud-based data platforms, including Snowflake
- Integrate batch and streaming data flows where required
Requirements
- Strong hands-on experience in data engineering
- Solid programming skills in Python (Java is a plus)
- Experience building and operating production data pipelines
- Experience working with modern cloud data platforms or warehouses (e.g., Snowflake)
- Familiarity with AWS data infrastructure such as S3 and IAM
If you're a hands-on Data Engineer who enjoys building scalable data platforms and delivering high-quality data solutions, we’d love to hear from you.
Rate:
£900/day
Location:
London
IR35 Status:
Not specified
Remote Status:
Hybrid
Industry:
Data & Analytics
Seniority Level:
Senior