Forward Deployed Engineering (Data and Platforms) Training Programme

Permanent role | £64,000 pro-rated from day one | 8 weeks of salaried training upfront | UK-based customer projects post-training

The opportunity

As organisations accelerate their investment in AI, they need engineers who can bridge business and technology; shaping solutions, designing modern data platforms and helping turn AI investment into real business value.

Our Forward Deployed Engineering (Data and Platforms) training programme is designed to help experienced Data Engineers and Full Stack Engineers evolve into exactly that. You'll begin with eight weeks of dedicated, salaried training - developing the capabilities to work across the full value chain, from understanding business problems and shaping solutions through to engineering production-ready data platforms that enable AI.

Once trained, you'll partner with leading UK-based customers across industries as a Forward Deployed Data and Platforms Engineering Consultant, solving complex business and technical challenges while staying hands on with technology and taking greater ownership of architecture and business outcomes.

It’s an opportunity to stay close to the technology you love while broadening your influence, accelerating your development and building the skills to thrive as engineering evolves in an AI-first world.

About Kubrick

Kubrick is an award-winning consultancy that helps organisations across a wide range of industries design, build and scale data and AI solutions that deliver lasting impact, in partnership with leading technology firms such as Microsoft, Databricks, Snowflake, and Collibra.

Developing exceptional data and AI talent is also at the heart of what we do. For the past 10 years, we've combined award-winning training with real world experience to help over 3000 individuals develop the skills and capabilities organisations desperately need as technology evolves.

What you’ll be doing

Operating at the intersection of engineering, business and delivery, you'll work directly with UK-based customers to turn complex business and data challenges into production ready solutions. You'll help define problems, identify where data and AI can create measurable impact, and shape end to end solution and architecture decisions.

From there, you'll bring those solutions to life by designing and building modern data platforms and production grade systems across data architecture, platform modernisation, data quality and governance, AI ready infrastructure, and the integration of fragmented enterprise systems.

Throughout the design and delivery, you'll stay close to customers, ensuring the systems you build are scalable, reliable and connected to real business outcomes. You'll also have opportunities to create reusable solutions that can deliver value across multiple customer environments.

What we’re looking for

This role is ideal for experienced Data Engineers or Full Stack Engineers who enjoy solving complex technical problems but also want to work more closely with customers, influence solution design and see the real-world impact of the systems they build.

Essential

• Commercial experience designing, building or maintaining production data pipelines.

• Strong Python development experience and advanced SQL skills.

• Hands on experience with at least one modern data platform, such as Databricks, Snowflake, BigQuery, Redshift or Azure Synapse.

• Experience working with AWS, Azure or GCP.

• Strong understanding of ETL and ELT, relational databases and data modelling.

• Experience using Git in collaborative software engineering teams.

• Strong analytical and problem-solving skills.

• Excellent communication skills and the ability to work directly with clients and stakeholders.

• Right to work in the UK post-training without requiring visa support from Kubrick.

Desirable

• Experience with Databricks or modern Lakehouse architectures.

• Experience with Docker, Kubernetes or Terraform.

• Experience with automated testing using Pytest.

• Familiarity with stream processing, orchestration or data observability.

• Experience using AI coding tools such as GitHub Copilot, ChatGPT or Claude.

We don't expect you to tick every box. If you're excited by the opportunity to broaden your expertise, accelerate your career and help shape the future of data engineering, we'd love to hear from you.

Benefits

• Enhanced paid maternity, paternity and adoption leave above the statutory minimum, with shared parental leave options

• Additional family leave support, including up to 18 weeks parental leave, dependent care leave, paid fertility treatment leave, and paid parental bereavement leave

• 33 days annual leave (25 days annual leave plus 8 public holidays)

• Flexible working options, including flexible start and finish times and part-time arrangements

• Hybrid working options

• Pension matching up to 5%

• Unlimited mental health support through , for you and eligible family members

• Financial wellbeing support

• Cycle to Work scheme

• Specsavers eye care vouchers

• Recognition and reward programmes

• Learning and development opportunities, including professional certifications

• Internal mobility and career development opportunities

• Employee Assistance Programme (EAP)

Post-training learning and development opportunities

• Industry recognised certification pathways with leading tech vendors like Databricks, Snowflake, Anthropic, Microsoft Azure and AWS.

• Access to Kubrick's technical ecosystem, including Centres of Excellence, technology partners, technical experts and clear opportunities for continued career development.

• Access to Kubrick’s full LMS suite of training programmes such as AI Engineering and AI solution Design, meaning you can autonomously expand your skillset and competency and evolve into a Data and AI Forward Deployed Engineer; one of the hottest skillsets in today's market.

Diversity and inclusion

We’re committed to building a more diverse and inclusive tech industry and encourage applications from people currently underrepresented in data and AI, including women, people from underrepresented racial and ethnic backgrounds, LGBTQ+ people, people with disabilities and people who are neurodivergent. If you require any adjustments during the application or interview process, please let us know.

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