About us We love pets - which is why we’re on a mission to make the world a better place for pets and their parents.

Benefits

that are designed with their needs in mind. We’ve helped half a million pets stay happy and healthy since 2017 - and many more customers throughout the world are joining us every day. Our company is respectful, fun-loving and passionate about pets and their wellbeing.

Throughout our business you'll meet people who think differently, aim for impact, and love to try new things. Want to join our pack? Join us.

Love every moment. Love ManyPets. Job Summary We are seeking a highly capable Senior Data Engineering Lead / Manager to guide and develop our Data Platform team within a dynamic UK insurance company.

Responsibilities

, making it ideal for someone looking to progress into a full Engineering Manager role. You will lead a team of four data engineers (2 Senior, 2 Data Engineers), shaping the technical direction of our GCP based platform while ensuring high quality delivery across multiple workstreams. You will design and implement scalable systems, frameworks and processes that improve the long term reliability and simplicity of our data estate.

You will work closely with cross functional teams including other data teams, Product and Engineering to ensure alignment, reduce coordination cost and deliver a platform that enables high quality insights and innovation.

Key Responsibilities

Team Leadership Management Lead the Data Platform team, ensuring smooth delivery across multiple engineers and workstreams. Run daily stand-ups using agile methodologies to maintain high team engagement and efficient project execution. Set individual objectives and develop personal development plans for the team, supporting a culture of continuous improvement.

Platform Strategy Technical Leadership Provide hands on technical contribution across GCP, BigQuery, dbt, Airflow and Python, supporting the team in designing and building scalable, reliable data pipelines and models. Ensure the team maintains a clear technical roadmap, outlining future development direction, platform improvements and long-term sustainability. Drive core engineering processes (code reviews, design discussions, incident reviews, quality standards) to ensure consistent, high quality delivery.

Identify opportunities to simplify and improve the technical estate. Collaborate with upstream engineering teams to ensure high quality data ingestion and alignment on architectural patterns. Champion platform observability, ensuring robust monitoring, alerting and data quality practices.

Stay updated on emerging trends and technologies in data engineering and the pet insurance industry, implementing new methodologies, tools and frameworks to enhance data processes. Stakeholder Engagement Communication Work closely with Data Analytics, Data Science and Product teams to ensure the platform supports their needs and that cross team dependencies are well understood. Communicate technical risks, trade-offs and dependencies clearly, helping the organisation prioritise effectively and reduce unnecessary work.

Support data literacy and adoption by contributing to training, demos and knowledge sharing sessions across the organisation. Maintain clear documentation of platform architecture, the data warehouse, processes and standards. Contribute to a fast-paced, scale-up environment by adapting to changing business needs and providing innovative data-driven solutions.

Governance, Reliability Compliance Champion strong data governance practices, including data quality, lineage, access controls and retention policies. Ensure platform reliability and operational excellence, contributing to monitoring, alerting, and incident response processes.

Requirements

to ensure safe and responsibl

Data Engineering Manager