Requirements

5+ years of experience as a Data Engineer working on scalable data platforms, ideally in product-led or high-growth environments.
Proven expertise in designing, building, and operating ETL/ELT pipelines and large-scale data architectures.
Deep hands-on experience with modern data stacks, including Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, Apache Spark, deployed via AWS, Docker, and Terraform or similar technologies.
Ability to work effectively with cross-functional stakeholders, translating technical concepts into business value.
Experience mentoring and supporting the growth of other engineers through code reviews, pairing, and knowledge sharing.
Pragmatic problem-solving approach balancing technical excellence with delivery needs.

Nice to Haves

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

Act as a senior technical reference for the Data Engineering team, providing mentorship and coaching.
Promote best practices including testing, CI/CD, observability, and infrastructure as code.
Design, build, and maintain scalable, secure data pipelines, warehouses, and streaming systems.
Ensure data is modeled and structured to meet analytics, data science, and operational needs.
Contribute to evolving the data architecture to support current and future business requirements.
Collaborate with teams across the business to translate requirements into robust technical solutions.
Identify opportunities for optimization, re-architecture, and tool improvements.
Help define and execute the technical roadmap for data engineering.

Market-competitive salary reviewed annually.
Annual performance bonus linked to company performance and individual contribution.
Share options providing a stake in the company’s future.
Private medical insurance.
Pension scheme, generous holiday allowance, and £1,000 yearly budget for commuting or learning.
Access to cutting-edge systems and tools to maximize impact.