Data Engineer

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.

About you:

• 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

What you’ll bring to the table:

• Develop pipelines that brings data to life for decision making, either delivering insight or for more sophisticated data science applications
• Be confident in being hand on with data, applying the practicalities of quality, flow, and organisation of information.
• Bring experience in coding in Python and SQL
• Have solid experience of Snowflake and Azure DataBricks
• Have a good understanding of AI usage of data
• Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc)
• Have experience with DataOps concepts

Why join AND Digital?

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.