Senior Data Engineer
Posted Today by Hunter Bond
£900 Per day
Undetermined
Hybrid
London
Summary: The role of Data Engineer involves working with a leading global organization to build and scale modern data platforms that support analytics and operational decision-making. This hands-on position requires collaboration with engineers, data scientists, and business stakeholders to design robust data solutions and develop production-grade pipelines. The ideal candidate will have strong experience in data engineering and cloud-based data platforms. The role is hybrid, based in London, and offers a competitive daily rate.
Key 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
Key Skills:
- 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
Salary (Rate): £900 daily
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job title: Data Engineer
Client: Leading global organisation
Salary: Up To £900 Per Day
Location: London (Hybrid)
Skills: Python, Data Engineering, Data Pipelines, Airflow, Dagster, Snowflake, AWS, S3, IAM, Java (Plus)
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.