Senior Data Engineer

Requirements

  • 4+ years experience as a Data Engineer working on scalable data platforms, ideally in product-led or high-growth environments.
  • Solid experience designing, building, and operating ETL/ELT pipelines and large-scale data architectures.
  • Hands-on experience with modern data stack technologies such as Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, Apache Spark, AWS, Docker, and Terraform (or similar).
  • Ability to work effectively with cross-functional stakeholders and translate technical concepts into business value.
  • Experience supporting other engineers through code reviews, pairing, and knowledge sharing.
  • Pragmatic approach to balancing technical excellence with delivery needs.
  • AI-first mindset: curiosity, fast experimentation, and ownership in using AI daily.

Nice to haves

  • Experience building Data Mesh or Lakehouse architectures.
  • Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g., Kafka, Kinesis).
  • Exposure to ML engineering pipelines or MLOps frameworks.

What you'll be doing

  • Act as a strong technical contributor within the Data Engineering team.
  • Support and help less experienced engineers grow through pairing, code review, and knowledge sharing.
  • Promote best practices in data engineering, including testing, CI/CD, observability, and infrastructure as code.
  • Design, build, and maintain scalable and secure data pipelines, warehouses, and streaming systems.
  • Ensure data is modeled and structured to meet analytics, data science, and operational use cases.
  • Contribute to the evolution of data architecture to support current and future business needs.
  • Partner with teams across the business to understand requirements and translate them into robust technical solutions.
  • Identify opportunities for optimization, re-architecture, or tool improvements.
  • Contribute to the delivery of the technical roadmap for data engineering.

Perks and benefits

  • Market-competitive salary benchmarked against your function and reviewed annually.
  • Annual performance bonus linked to company performance and individual contribution.
  • Share options providing a real stake in the company and its future.
  • Private medical insurance.
  • Pension, generous holiday allowance, and £1,000 yearly allowance for commuting or learning.
  • Access to cutting-edge systems and tools to maximize impact.
AI Summary ✨

Similar jobs

  • a day agoNew
  • Senior Data Engineer II - Scalable Growth

    Wise·Greater London, UK

    ≈ €104k – €172k / yearbase

    4 days ago
  • Lead Data Engineer

    Zego·London, UK

    6 days ago
  • See all jobs in UK →