At a Glance
- Tasks: Build and scale a cutting-edge data platform to revolutionise drug discovery.
- Company: Join Recursion, a pioneering TechBio company transforming medicine with innovative technology.
- Benefits: Enjoy competitive salary, bonuses, equity, and comprehensive benefits in a hybrid work environment.
- Why this job: Make a real impact on healthcare while working with advanced technologies and diverse datasets.
- Qualifications: 5+ years in cloud-based data engineering with expertise in Python, SQL, and modern data architectures.
- Other info: Collaborative culture focused on growth, learning, and making a difference in patients' lives.
The predicted salary is between 75900 - 101900 ÂŁ per year.
Your work will change lives. Including your own. Recursion is a leading, clinical-stage TechBio company decoding biology to industrialize drug discovery. Central to its mission is the Recursion Operating System (OS), a platform built across diverse technologies that continuously expands one of the world’s largest proprietary biological, chemical, and patient‑centric datasets. Recursion leverages sophisticated machine‑learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale—up to millions of wet‑lab experiments weekly—and massive computational scale—owning and operating one of the most powerful supercomputers in the world—Recursion is uniting technology, biology, chemistry, and patient‑centric data to advance the future of medicine.
In this role, you will:
- Build, scale, and operate a data platform.
- Build relatability into a heterogeneous dataset.
- Act as a mentor, coach, and sponsor.
The Team You’ll Join:
You will join the Data Lake team that built and maintains our Data Lake/house. The team is responsible for relational and object storage and has the motto: all data flows to the Data Lake. The team solves the problem of making our diverse data discoverable, queryable, and relatable across datasets while we continue to add new data modalities as we grow. This will require collaboration with many different groups including teams building out reports, dashboards, and applications, teams finding and generating the required data for machine‑learning problems, and teams building and iterating on new data processing pipelines.
The Experience You’ll Need:
- 5+ years of deep experience in modern, cloud‑based data engineering.
- Expertise in Core Technologies (Mandatory): advanced proficiency in Python and SQL, experience with Containerization (Docker, Kubernetes), Infrastructure as Code (Terraform, etc.), and Agentic Development (Cursor, Claude, etc.).
- Data Fundamentals & Architecture: deep understanding of Relational Databases (Postgres, MySql, etc.) and proficiency in working with data container files (e.g., Parquet, Avro, etc.). Familiarity with Medallion Architecture (Bronze/Silver/Gold).
- Cloud & Platform Operations: seasoned in at least one major cloud provider (GCP, AWS, or Azure). Comfortable in a 'DevOps' capacity.
- Hands‑On: understand trade‑offs between different architectures (Data Lake vs. Warehouse) and can make high‑level decisions regarding CI/CD and system maintenance.
- Collaborative Problem Solver: thrive in environments with significant technical ambiguity.
- People‑First Mindset: prioritize supporting your coworkers’ growth.
- Intellectual Curiosity: drive to learn the domain and explore new technologies.
Our Tech Stack:
Tools: dbt, Prefect, Argo Workflows, BigQuery, Snowflake, Fivetran, Datastream, AI/LLM (Cursor, Claude Code, and Gemini available).
Nice to Haves:
Experience with Search (Elasticsearch), Vector/Graph databases, or deep experience scaling within the GCP ecosystem is a significant plus.
Working Location & Compensation:
This position can be based at either our London or Milton Park office. Please note that we are a hybrid environment and ask that employees spend 50% of their time in the office. At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is ÂŁ75,900 - ÂŁ101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.
Values We Hope You Share:
- We act boldly with integrity.
- We care deeply and engage directly.
- We learn actively and adapt rapidly.
- We move with urgency because patients are waiting.
- We take ownership and accountability.
- We are One Recursion.
Equal Opportunity Employment Information:
Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Senior Data Platform Engineer in London employer: Recursion
Contact Detail:
Recursion Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or some projects, make sure to share them during interviews. It’s a great way to demonstrate your expertise and passion.
✨Tip Number 3
Prepare for the unexpected! Brush up on your problem-solving skills and be ready to tackle technical challenges on the spot. It shows you’re not just a thinker, but a doer too.
✨Tip Number 4
Don’t forget to follow up! After an interview, drop a quick thank-you note. It keeps you fresh in their minds and shows you’re genuinely interested in the role.
We think you need these skills to ace Senior Data Platform Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in cloud-based data engineering, Python, SQL, and any relevant technologies we use at Recursion.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about the role and how your background aligns with our mission. Share specific examples of your past work that demonstrate your problem-solving skills and collaborative mindset.
Showcase Your Technical Skills: Don’t just list your technical skills—show us how you’ve applied them in real-world scenarios. Whether it’s building data platforms or working with diverse datasets, give us the details that make you stand out.
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!
How to prepare for a job interview at Recursion
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Python, SQL, and cloud platforms. Brush up on your knowledge of containerization and data architecture principles, as these will likely come up during technical discussions.
✨Show Your Problem-Solving Skills
Prepare to discuss specific examples where you've navigated complex systems or solved ambiguous problems. Think about how you can demonstrate your collaborative approach and how you’ve worked with diverse teams to deliver impactful solutions.
✨Emphasise Your Hands-On Experience
Be ready to talk about your practical experience in building and maintaining data platforms. Highlight any projects where you’ve been a 'doer' rather than just a planner, showcasing your ability to get into the weeds of implementation.
✨Demonstrate Your People-First Mindset
Recursion values a supportive culture, so be prepared to share how you’ve helped colleagues grow in their roles. Discuss your mentoring experiences and how you prioritise teamwork and empathy in your work environment.