Data Engineering Manager

TL;DR

Data Engineering Manager (Scala/Python/SQL): Leading a high-performing engineering team in designing, building, and maintaining scalable, high-quality data pipelines and models to power analytics and data-driven decision-making with an accent on engineering excellence, continuous improvement, and data accuracy. Focus on guiding engineers through complex challenges, fostering a collaborative culture, and ensuring operational stability of data platforms.

Location: London, with a hybrid work format.

What you will do

• Lead a team of data engineers to design, build, and maintain scalable data pipelines and models.
• Drive continuous improvement and champion best practices for engineering excellence.
• Collaborate with architects, analysts, and business leaders to align data platforms with strategic priorities.
• Provide clear direction, coaching, and performance management to foster a high-performing team.
• Steer delivery, manage risk, and uphold high standards of data quality and operational stability.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• Proven experience in data engineering with a track record of building scalable pipelines, integrations, and transformations.
• Demonstrated ability managing and leading data engineering teams.
• Strong proficiency in Scala, Python, SQL, Snowflake, and DBT.
• Deep understanding of data modelling, ETL/ELT processes, and data warehousing concepts.
• Experience working with cloud-based data platforms (AWS, Azure, or GCP) and familiarity with containerisation (Docker, Kubernetes).

Nice to have

• Experience crafting or scaling modern data platforms in a cloud-native environment.
• Exposure to advanced orchestration, observability, or data quality tooling.
• Familiarity with DevOps practices and CI/CD for data engineering.
• Experience operating within a regulated or production-critical environment.

Culture & Benefits

• Value all types of diversity and an inclusive working culture.
• Equal opportunity employer, committed to non-discrimination.
• Reasonable adjustments and accommodations are available to support individuals with disabilities or caring responsibilities during the application and interview process.