At a Glance
- Tasks: Transform complex data challenges into innovative solutions for leading UK customers.
- Company: Join Kubrick, an award-winning consultancy shaping the future of data and AI.
- Benefits: Enjoy competitive pay, flexible working, and extensive learning opportunities.
- Other info: Diverse and inclusive workplace committed to your growth and success.
- Why this job: Kickstart your career with 8 weeks of paid training in a cutting-edge field.
- Qualifications: Experience in data engineering or full stack development with strong Python and SQL skills.
The predicted salary is between 81000 - 99000 £ per year.
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 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.
Forward Deployed Engineering (Data and Platforms) Training Programme in London employer: Kubrick
At Kubrick, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and opportunities to work with cutting-edge technologies like Azure AI & Data. Join us in our vibrant location, where diversity is celebrated, and every team member's contribution is valued, making your work both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineering (Data and Platforms) Training Programme in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Kubrick!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Forward Deployed Engineering (Data and Platforms) Training Programme at Kubrick.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Kubrick.
✨Apply Directly through Our Website
When you find a suitable opening like Forward Deployed Engineering (Data and Platforms) Training Programme at Kubrick, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Forward Deployed Engineering (Data and Platforms) Training Programme in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Kubrick, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Kubrick. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Kubrick
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Kubrick!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
