At a Glance
- Tasks: Transform messy data into actionable insights for our AI procurement solution.
- Company: Join Magentic, a cutting-edge tech company backed by Sequoia Capital.
- Benefits: 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 a talented team from top companies like OpenAI and NASA.
- Qualifications: 2+ years in data roles, fluent in Python and SQL, strong communication skills.
The predicted salary is between 60000 - 70000 £ per year.
We are looking for a Data Analyst / Engineer to join Magentic's Forward Deployed Engineering team. You will 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 effective. This isn’t a build-dashboards-on-request role. You will be working on real problems with real stakes, using modern data tooling — including LLMs — to move fast without sacrificing rigour. You will be joining a small but exceptional team with backgrounds from Revolut, OpenAI, Meta, NASA and McKinsey. We are backed by Sequoia Capital and chasing a $3tn market opportunity.
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 excluding bank holidays, plus an extra day for our Christmas shutdown.
- In-office lunches provided.
- Salary sacrifice pension and nursery schemes.
- Hybrid London HQ (WFH Thursday and every other Tuesday, with flexibility 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, 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: Magentic
Contact Detail:
Magentic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst / BI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Magentic on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!
✨Tip Number 2
Prepare to showcase your skills! Since this role involves real-world data, think of examples from your past work where you turned messy data into actionable insights. Be ready to discuss these during your interviews.
✨Tip Number 3
Practice your communication skills! You’ll need to explain complex data findings to both technical and commercial audiences. Try explaining your past projects to friends or family who aren’t in the field to refine your clarity.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the team at Magentic.
We think you need these skills to ace Data Analyst / BI Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Analyst / BI Engineer role. Highlight your experience with Python, SQL, and any LLM-based techniques you've used. We want to see how your skills align with what we're looking for!
Showcase Your Problem-Solving Skills: In your application, share examples of how you've tackled messy data and turned it into actionable insights. We love seeing real-world applications of your work, so don’t hold back on those success stories!
Communicate Clearly: Since you'll be working with both technical and commercial audiences, it's crucial to demonstrate your communication skills in your application. Use clear language and structure your thoughts well to show us you can convey complex ideas simply.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you're keen on joining our team at Magentic!
How to prepare for a job interview at Magentic
✨Know Your Data Tools
Make sure you're well-versed in the modern data tooling mentioned in the job description, especially Python and SQL. Brush up on how to integrate LLM-based techniques into your analysis workflow, as this will be crucial for the role.
✨Prepare Real-World Examples
During the paired-programming interview, be ready to showcase your previous work with messy, real-world data. Have specific examples that demonstrate how you turned complex data into actionable insights, and be prepared to discuss the impact of your findings.
✨Communicate Clearly
Since you'll need to explain your findings to both technical and commercial audiences, practice articulating your thought process and results clearly. Use simple language to convey complex ideas, ensuring everyone understands the significance of your work.
✨Understand the Company Culture
Before the in-person interview, research Magentic's values and mission, especially their commitment to responsible AI. Be ready to discuss how your personal values align with theirs, and think about how you can contribute to their diverse and inclusive workplace.