Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Engineer

Magentic
London
1 month ago
Create job alert

Backed by global technology visionaries like Sequoia Capital, Magentic brings together world-class AI engineering (from places like OpenAI, Meta, and AWS) with deep procurement expertise (formers from McKinsey & Company and ABInBev).


Our mission is to make global manufacturing supply chains robust to an ever-changing world - a $3tn market opportunity. We’re pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows; deploying thoughtfully to maximising benefits while prioritising safety.


As out first Data Engineer you will work closely with ML engineers, product teams, and domain experts to transform raw supply chain data into structured, reliable, and actionable insights that drive decision-making across our platform, while ensuring that we build a platform capable of serving hundreds of Fortune 500 companies simultaneously.


This is an opportunity to work on deeply technical challenges with real-world impact at scale - we’re creating the data foundation for autonomous agents to reason, plan, and act in complex, high-stakes environments.


Tasks

In this role, you will:



  • Design and operate performant, scalable ingestion pipelines processing high-volume data from global supply chain and procurement systems.
  • Define, evolve, and manage data schemas and catalogues—from raw staging to high-quality analytics and feature stores—ensuring consistency and discoverability.
  • Build end-to-end monitoring and observability for your pipelines: owning data quality, latency, completeness, and lineage at every stage.
  • Champion secure, governed data practices: access controls, secrets management, encrypted data-in-transit/at-rest, and compliance with frameworks like GDPR.
  • Collaborate closely with AI, Platform, and Product teams, provisioning data sets, feature tables, and contracts for analytics and machine learning at scale.
  • Continuously improve efficiency and reliability via testing, CI/CD automation, cost/performance tuning, and incident/root-cause reviews.


Requirements

You may be a fit if you have:



  • Experience working at startups, scaleups or at companies with a big focus on data quality, DataOps and data management at scale.
  • Expertise in Cloud-Native Data Engineering: 5+ years building and running data warehouses and pipelines in AWS or Azure, including managed data services (e.g., Kinesis, EMR/Databricks, Redshift, Glue, Azure Data Lake).
  • Programming Mastery: Advanced skills in Python or another major language; writing clean, testable, production-grade ETL code at scale.
  • Modern Data Pipelines: Experience with batch and streaming frameworks (e.g., Apache Spark, Flink, Kafka Streams, Beam), including orchestration via Airflow, Prefect or Dagster.
  • Data Modeling & Schema Management: Demonstrated expertise in designing, evolving, and documenting schemas (OLAP/OLTP, dimensional, star/snowflake, CDC), data contracts, and data cataloguing.
  • API & Integration Fluency: Building data ingestion from REST/gRPC APIs, file drops, message queues (SQS, Kafka), and 3rd party SaaS integrations, with idempotency and error handling.
  • Storage & Query Engines: Strong with RDBMS (PostgreSQL, MySQL), NoSQL (DynamoDB, Cassandra), data lakes (Parquet, ORC), and warehouse paradigms.
  • Observability & Quality: Deep familiarity with metrics, logging, tracing, and data quality tools (e.g., Great Expectations, Monte Carlo, custom validation/test suites).
  • Security & Governance: Data encryption, secrets management, RBAC/ABAC, and compliance awareness (GDPR, CCPA).
  • CI/CD for Data Systems: Comfort with automation, infrastructure as code (Terraform), version control, and release workflows.
  • Collaborative Spirit: Experience working closely with platform, ML, and analytics teams in a fast-paced, mission-driven environment.


Benefits

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 £110,000-£120,000
  • Visa sponsorship available; (note we are only accepting candidates who are currently based in the UK.)
  • Hybrid London HQ (3-4 days in the office)
  • Annual team retreat—a fully-funded off-site to recharge, bond, and build.


About Magentic


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. We bring expertise from OpenAI, NASA, and McKinsey, and we’re backed by the best venture funds in the world.


We can’t wait to have you on board.


Equal Opportunities 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.


Accommodations for Applicants with Disabilities


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



We’re building autonomous teammates for the supply chain and procurement teams that keep the world moving.


Supply‑chain and procurement teams run on grit and spreadsheets. Their days disappear inside labyrinthine ERP systems, while price shocks, regulatory twists, and sustainability targets pile on. We’ve felt that grind first‑hand, and we knew there had to be a better way.


Supply chains are the hidden engines of our world—complex, fragile, and too often overlooked until they break. We started Magentic when the world ran out of the medications that kept our families alive. That crisis drove us to build a technology that doesn’t just keep up—it stays miles ahead.

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Pre-Employment Checks for Machine Learning Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in machine learning reflects the discipline's unique position at the intersection of artificial intelligence research, algorithmic decision-making, and transformative business automation. Machine learning professionals often have privileged access to proprietary datasets, cutting-edge algorithms, and strategic AI systems that form the foundation of organizational competitive advantage and automated decision-making capabilities. The machine learning industry operates within complex regulatory frameworks spanning AI governance directives, algorithmic accountability requirements, and emerging ML ethics regulations. Machine learning specialists must demonstrate not only technical competence in model development and deployment but also deep understanding of algorithmic fairness, AI safety principles, and the societal implications of automated decision-making at scale. Modern machine learning roles frequently involve developing systems that impact hiring decisions, financial services, healthcare diagnostics, and autonomous operations across multiple regulatory jurisdictions and ethical frameworks simultaneously. The combination of algorithmic influence, predictive capabilities, and automated decision-making authority makes thorough candidate verification essential for maintaining compliance, fairness, and public trust in AI-powered systems.

Why Now Is the Perfect Time to Launch Your Career in Machine Learning: The UK's Intelligence Revolution

The United Kingdom stands at the epicentre of a machine learning revolution that's fundamentally transforming how we solve problems, deliver services, and unlock insights from data at unprecedented scale. From the AI-powered diagnostic systems revolutionising healthcare in Manchester to the algorithmic trading platforms driving London's financial markets, Britain's embrace of intelligent systems has created an extraordinary demand for skilled machine learning professionals that dramatically exceeds the current talent supply. If you've been seeking a career at the forefront of technological innovation or looking to position yourself in one of the most impactful sectors of the digital economy, machine learning represents an exceptional opportunity. The convergence of abundant data availability, computational power accessibility, advanced algorithmic development, and enterprise AI adoption has created perfect conditions for machine learning career success.

Automate Your Machine Learning Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

ML jobs are everywhere—product companies, labs, consultancies, fintech, healthtech, robotics—often hidden in ATS portals or duplicated across boards. The fastest way to stay on top of them isn’t more scrolling; it’s automation. With keyword-rich alerts, RSS feeds, and a reusable ChatGPT workflow, you can bring relevant roles to you, triage them in minutes, and tailor strong applications without burning your evenings. This is a copy-paste playbook for www.machinelearningjobs.co.uk readers. It’s UK-centric, practical, and designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning LLM/NLP, Vision, Core ML, Recommenders, MLOps/Platform, Research/Applied Science, and Edge/Inference optimisation. Shareable Boolean searches you can paste into Google & job boards to cut noise. Always-on alerts & RSS feeds delivering fresh roles to your inbox/reader. A ChatGPT “ML Job Scout” prompt that deduplicates, scores fit, and outputs tailored actions. A lightweight pipeline tracker so deadlines and follow-ups never slip.