Lead Data Solution Engineer

About Us

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

As a Lead Data Solution Engineer, you’ll help our clients deploy and maintain data pipelines in a production-safe manner, using the latest technologies and with a DataOps culture. You’ll work in a fast moving, agile environment, within multi-disciplinary teams, delivering modern data solutions to clients of different sizes and from various sectors.

Your responsibilities: 

• Develop pipelines that bring data to life for decision-making, either delivering insight or for more sophisticated AI & machine learning 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 for different-size organisations.
• Practical hands-on experience of designing, architecting & deploying AI-enabled solutions at least one cloud data platform (e.g. Databricks, Snowflake, AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) ideally including practical/hands-on experience of migration to or adoption of a cloud data platform.
• Strong Databricks expertise is a must (ideally with appropriate certifications) with Snowflake and/or MS Fabric experience a bonus.
• 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.
• 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.

Interview Process

We are committed to making the recruitment process as smooth and as hassle free as possible. This is the approach we take:

• Initial screening call with recruitment (30 mins)
• Short home-prep case study
• In-person technical interview (1-1.5 hours)
• Cultural interview (45 mins)

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.

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.

By joining AND, we’ll provide:

• 25 days bookable holiday + flexible Bank Holidays 
• Pension: 6% of salary paid by AND Digital with a further 2% paid by you (can be increased by choice).
• Aviva healthcare cover (including pre-existing condition cover) for you.
• Flexibenefit: £1000 assigned to you via our benefits portal to select or upgrade the benefits that suit you the most. Any unused allowance from the £1000 can be taken as cash. 
• Life Assurance.
• Income Protection.
• Eye test + first pair of glasses.
• Parental Benefits: Generous Enhanced Maternity and Enhanced Partner (Paternity) Leave.

Equal Opportunities Statement

Diversity and inclusion are hugely important to us, and we’re committed to providing equal opportunities for all. We’re actively recruiting for a diverse and inclusive workforce so want to ensure we do everything we can to support your application.

We want you to feel safe and empowered to let us know if you need any adjustments to be made to your application or interview process, so please speak to our recruitment team.

AI Statement

We champion tech that helps people work smarter, but we want to get to know you! If you use AI to assist with your application or interview prep, please ensure all information submitted remains an accurate, truthful representation of your personal achievements and capabilities rather than generating false or misleading information. We may reject applications where AI is used inappropriately at any stage of the recruitment process.