Senior Data Engineer: Build Scalable Pipelines; Hybrid

Job title:

Data Engineer

Client: Leading Global Organisation

Salary: Up To £900 Per Day

Location: London (Hybrid)

Skills: Python, Data Pipelines, Dagster, Airflow, Snowflake, AWS, S3, IAM, APIs, Streaming & Batch Data

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.