Offer summary

Qualifications:

Extensive experience in data engineering and architecture., Proficiency in AWS services, Snowflake, and Python., Strong understanding of ETL/ELT pipeline design and data governance., Experience working with cross-functional teams and stakeholder engagement..

Key responsibilities:

Design and maintain the company's data platform and strategy.

Manage data infrastructure including Snowflake and AWS S3.

Build and automate data pipelines and reporting tools.

Advise senior leadership on data governance and best practices.

Job description

Data Architect / Lead Data Engineer

Salary: £63,000–£66,000
Location: Remote (UK-based)

Help Shape the Future of Data at MindGym

Are you a seasoned data engineer ready to take the next step into a more strategic, high-impact role? Want to own architecture, shape data strategy, and still stay hands-on? At MindGym, you can do all that—and more.

We’re hiring a Senior Data Architect / Lead Data Engineer to design and deliver our company-wide data platform and strategy. This is a senior, autonomous role ideal for an experienced data professional—or a senior engineer looking to step into a lead-level position—who thrives on owning both the technical roadmap and stakeholder relationships.

You’ll take charge of our AWS and Snowflake environment and work directly with teams across Commercial, Finance, and Operations to unlock better, faster decisions through data.

In this role, you’ll:

Own our end-to-end data infrastructure, from architecture to delivery
Design and maintain robust, automated ETL/ELT pipelines
Manage our Snowflake warehouse and AWS S3 data lake
Build internal-facing reporting tools (e.g., Streamlit) that make data accessible
Define and enforce data governance and security best practices
Act as a trusted data advisor to senior leadership
Partner with cross-functional teams to ensure data aligns with real business needs
Use tools like Terraform, dbt, GitHub Actions, and Python in a modern, cloud-native environment

Tech you’ll work with:

AWS (Lambda, S3, Glue, IAM)
Snowflake, dbt, Terraform
Python, Streamlit, GitHub Actions
Bonus: Airflow, Kafka/Kinesis

If you’re looking for a role where you can step into leadership while staying close to the tech—and make a real business impact—this is it. Apply now to lead the data journey at MindGym.

This Could Be You If:

You’re a senior data engineer ready for a bigger challenge
You’ve delivered or led company-wide data solutions before
You’re fluent in AWS, Snowflake, Python, and modern DevOps practices
You love translating business needs into clean, scalable data systems
You’re confident engaging with stakeholders across technical and non-technical teams
You work well independently, with a solution-focused mindset
Experience in fast-paced, high-autonomy environments is a plus

About MindGym

MindGym is a behavioural science company that helps people and businesses unlock their potential. We partner with over half the FTSE 100 and S&P 100 to drive lasting behaviour change through learning experiences grounded in psychology.

We’re Committed to Inclusion

We believe that diverse teams build better solutions. We welcome applicants from all backgrounds, communities, and experiences, and are committed to fostering a workplace where everyone can thrive.

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