Senior Data Engineer

🔒 Confidential Employer
Posted 24 April 2026
LOCATION
London
TYPE
Contract
LEVEL
Mid-Senior level
CATEGORY
Technology
This employer holds a UK Home Office sponsor license — sponsorship for this specific role is at the employer’s discretion

SKILLS

Python Data Pipelines Dagster Airflow Snowflake AWS S3 IAM

FULL DESCRIPTION

Job title: Data Engineer

Client: [Employer hidden — view at passion-project.co.uk]

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 [Employer hidden] 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.

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