Data Analyst / BI Engineer

Reposted 18 Days Ago
London, Greater London, England, GBR
Hybrid
60K-70K Annually
Junior
Artificial Intelligence • Information Technology • Software
The Role
The Data Analyst / Engineer will turn complex data into actionable insights, collaborate with engineers and business stakeholders, and use LLM tools for analysis.
Summary Generated by Built In

We're looking for a Data Analyst / BI 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. We're 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

  • Note: we are not able to offer visa sponsorship for this role

  • Enhanced parental leave

  • 25 days holiday exc bank holidays, plus an extra day for our Christmas shutdown

  • In-office lunches provided

  • Monthly organised socials and an additional flexible monthly social budget for team lunches, coffees, dinners, or activities with colleagues

  • 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.

  1. 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.

  2. Paired-programming interview (45 mins): in this step, you'll do some work alongside one of our engineers and explain your thinking.

  3. 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.

Skills Required

  • 2+ years of experience in data analyst, data engineer, or BI engineer role
  • Fluency in Python and SQL
  • Experience integrating LLM-based steps into data analysis or pipeline workflows
  • Ability to work with messy, real-world data
  • Strong communication skills with commercial understanding
Am I A Good Fit?
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The Company
13 Employees
Year Founded: 2024

What We Do

Magentic provides an enterprise-grade AI Agent Platform for the world’s supply chains. Magentic helps global manufacturers hunt down and deliver P&L savings opportunities with AI teammates called “Mages”.

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