Data Engineering Manager

About the Role

We’re looking for a Data Engineering Manager to lead our Data Engineering team at [Employer hidden — view at passion-project.co.uk], part of the Experience More group.

This role sits at the heart of how we use data to understand our business and serve our customers better. You’ll lead a team of data engineers responsible for building and maintaining a robust, scalable, and secure data platform that ensures the right data is available to the right people, at the right time.

You’ll combine people leadership with hands-on technical oversight, shaping our data strategy, data models, and data architecture, while improving data quality and governance. Working closely with stakeholders across the business, you’ll design and deliver well-structured, trusted data that underpins reporting, analytics, and confident, data-driven decision-making.

Key Responsibilities:

• Lead and manage a team of data engineers working on our core data platform.
• Set technical direction and strategy across data infrastructure, data architecture, and data modelling, ensuring we build the right solutions in the right way.
• Own and evolve our data models and data architecture, ensuring they are scalable, well-governed, and aligned with business needs.
• Build and maintain scalable, resilient data pipelines and systems, including an in-house event ingestion platform.
• Define best practices for analytics engineering, data modelling, and schema design to support reliable reporting and downstream use cases.
• Take ownership of data code, underlying infrastructure, CI/CD pipelines, and production monitoring.
• Collaborate closely with data insights and analytics teams to develop and refine ML-driven analytics pipelines.
• Work with stakeholders across the business to understand data requirements and translate them into reliable, accessible data solutions.
• Ensure data quality, governance, security, and GDPR compliance across the data platform.
• Support and grow engineers through mentoring, clear objectives, and our engineering growth framework.

About You:

• You have experience mentoring and developing engineers, and working closely with non-technical stakeholders.
• You’re either an experienced manager or ready to take the next step into a people leadership role.
• You enjoy taking ownership end-to-end, from data models and architecture through to pipelines, infrastructure, and production support.
• You’re passionate about data and apply best practices to analytics engineering, data modelling, and platform design.
• You have experience building and maintaining modern data platforms, ideally using Snowflake.
• You’ve worked with modern ETL tooling and understand how to build reliable, automated data flows.
• You’re curious about the business context behind the data and enjoy collaborating to solve real problems.

Our Tech Environment

• C# .NET and Python
• Azure and Terraform
• Orchestration tooling (such as Airflow)
• Snowflake
• DBT
• Fivetran

How We Get There:

• We focus on building simple, scalable solutions with clear data models and thoughtful architecture.
• We collaborate openly across engineering, data, and product teams.
• We encourage ownership, continuous learning, and thoughtful experimentation.
• We balance technical excellence with real business impact.

What’s in it for you?

We believe in empowering our team to do their best work. Enjoy:

Competitive Pay & Bonuses: Plus generous pension plans, staff discounts, and share schemes.

‍♀️ Wellbeing First: Private healthcare (UK), dental, life insurance, mental health support, and dog-friendly offices.

️ Flexible Working & Time Off:Generous holidays, hybrid working (unless specified otherwise, 2 days a week in the office), and opportunities for international working.

Career Growth: Learning allowances, coaching, and development programs.

Recognition & Giving Back: Regular awards, charity support, length of service awards, and volunteering days.