Lead Data Engineer

Who We Are:

We’re on a mission to close the world’s tech skills gap. We help organisations navigate the future of technology, combining human expertise, emerging tech and AI to deliver better outcomes, faster.

Since 2014, we’ve worked side-by-side with clients to solve complex challenges, build high-performing teams, and create lasting capability. As technology continues to evolve, we believe the most successful organisations will be those that combine the best of both: human ingenuity AND intelligent technology.

That belief is embedded in everything we do. We call it the genius of the AND: deep expertise AND practical delivery, innovation AND responsibility, ambitious work AND sustainable careers.

Through our Guide, Build and Equip approach, we help organisations embrace change, deliver meaningful impact, and develop the skills they need to thrive in an increasingly agentic world.

• You care deeply about producing high-quality work that delivers real value
• You’re comfortable navigating ambiguity and solving complex problems collaboratively
• You bring strong expertise in your craft, alongside a willingness to keep learning
• You communicate clearly and build trust quickly with clients and teammates
• You’re pragmatic, adaptable and outcome-focused
• You enjoy sharing knowledge and helping others grow
• You value low-ego collaboration and enjoy working as part of multidisciplinary teams

As a Lead Data Engineer, you’ll help our clients deploy and maintain data pipelines in a production-safe manner, using the latest technologies and with a Data Ops culture. You’ll work in a fast moving, agile environment, within multi-disciplinary teams, delivering modern data platforms into large organisations.

• Develop pipelines that bring data to life for decision making, either delivering insight or for more sophisticated data science applications
• Experience in being hands on with data, applying the practicalities of quality, flow, and organisation of information, and an understanding of data modelling approaches.
• Be comfortable working in a fast moving, agile environment, within multi-disciplinary teams, delivering modern data platforms into large organisations.
• Previous practical experience of using both SQL and task orchestration software (eg. dbt, Airflow/Prefect/Dagster or equivalent) to develop production-grade pipelines that bring data to life
• Strong Snowflake experience is preferred, and Databricks experience would be a bonus
• Practical hands‑on experience of at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, Quick Sight, etc)
• Hands‑on dataops experience (eg. CI/CD, version control, IaC, etc.)
• Have experience adopting a Data Product mindset, ensuring datasets are discoverable, addressable, trustworthy, and self‑describing for downstream consumers.
• Ability to bridge the gap between technical engineering and business value, translating stakeholder needs into robust data product specifications.

We’re building a culture where talented people can do meaningful work, continue growing, AND enjoy the journey along the way.

Our model is designed to build belonging and connection: we’re organised into regional ‘Clubs’ of no more than 80 people, so you (and our clients) get the benefits of that small company feel while also being connected to a larger whole.

Our Practice Areas act as a ‘second home’ for our ANDis - a place where you can innovate and learn with like‑minded experts who care deeply about their craft, support each other generously, and believe the best ideas come from collaboration, not hierarchy.

Our culture is rooted in our values of Wonder, Share and Delight, and shows up through five traits that we celebrate and nurture in all our ANDis: we value curiosity, ambition and a growth‑mindset. We are deeply client‑centric. Most important of all we are human - we create an inclusive environment where people feel trusted, supported and able to be themselves.

• 25 days bookable holiday + flexible Bank Holidays
• Pensio…