At a Glance
- Tasks: Transform messy data into actionable insights for our AI procurement solution.
- Company: Join Magentic, a forward-thinking tech company backed by Sequoia Capital.
- Benefits: Enjoy competitive salary, equity, enhanced parental leave, and 25 days holiday.
- Other info: Hybrid work model with annual team retreats and excellent career growth opportunities.
- Why this job: Work on real problems with cutting-edge tools in a dynamic team environment.
- Qualifications: 2+ years in data roles, fluent in Python and SQL, strong communication skills.
The predicted salary is between 60000 - 70000 £ per year.
We're looking for a Data Analyst / Engineer to join Magentic's Forward Deployed Engineering team. You'll be embedded at a critical point — working directly with customers during pilots and onboarding, turning complex, messy data into the insights that make our AI procurement solution sing. This isn't a build-dashboards-on-request role. You'll be working on real problems with real stakes, using modern data tooling — including LLMs — to move fast without sacrificing rigour. You'll be joining a small but exceptional team with backgrounds from Revolut, OpenAI, Meta, NASA and McKinsey.
What You'll Do
- Partner with Forward Deployed Engineers to design and execute complex analyses during customer pilots and onboarding
- Turn ambiguous, real-world data into clear, actionable outputs for both technical and commercial audiences
- Use LLM-based techniques as a native part of your analysis workflow — not as a curiosity, but as a tool
- Work with data platform tooling built by our data platform team; potential to grow into building platform components yourself
- Communicate findings clearly to engineers and business stakeholders alike
You Might Be a Great Fit if You
- Have 2+ years of experience in a data analyst, data engineer, or BI engineer role
- Are fluent in Python and SQL
- Have hands-on experience integrating LLM-based steps into a data analysis or pipeline workflow
- Can work with messy, real-world data and still ship something clean and useful
- Are a strong communicator with commercial understanding — you're comfortable explaining what you found and why it matters
- Thrive in fast-paced environments where speed and quality both matter
Bonus Points
- Experience with dbt or similar SQL-based transformation tools
- Familiarity with cloud data storage (Azure Blob Storage, S3, or GCS)
- Experience building or contributing to data platform infrastructure
- Familiarity with a data orchestration tool (Dagster, Airflow, Prefect, or similar)
- Familiarity with supply-chain, procurement, or manufacturing domains.
Compensation and Benefits
At Magentic, we recognise and reward the talent that drives our success. We offer:
- Competitive Equity: play a real part in Magentic’s upside
- A salary of £60-70k
- Enhanced parental leave
- 25 days holiday exc bank holidays, plus an extra day for our Christmas shutdown
- In-office lunches provided
- Salary sacrifice pension and nursery schemes
- Hybrid London HQ (WFH Thurs and every other Tues, with flex if you have appointments etc)
- Annual team retreat—a fully-funded off-site to recharge, bond, and build
Our Interview Process
We can move quickly through these stages, so let us know if you have any timelines we need to meet.
- Initial call (30 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about how your experience aligns with the role.
- Paired-programming interview (45 mins): in this step, we'll ask you to present some of your work to us and discuss it.
- In-person interview: for the final step, we invite you to come meet the team in-person. We find this is the best way for candidates to get a sense of what working at Magentic is like. This day will include a culture interview, founder interview and a presentation task and a discussion of your work with the team.
Responsible AI Statement
At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission.
Equal Opportunities and Accommodations Statement
Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010. We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications, merit, and business needs. Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly.
Data Analyst / BI Engineer in London employer: SwiftCruit
Magentic is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation thrives and every team member's contributions are valued. With competitive equity options, generous holiday allowances, and a commitment to employee growth through hands-on experience with cutting-edge data tools, you'll be part of a small, talented team dedicated to solving real-world problems in a fast-paced environment. Located in London, our hybrid work model and annual team retreats ensure a balanced and engaging workplace, making Magentic an ideal choice for those seeking meaningful and rewarding employment.
