Data Engineer

About Mob

Mob is a rapidly growing cooking website + app with one key mission - to create a world of home cooks. We are doing this by building the ultimate cooking app, making weekly cooking fun, easy and delicious. We solve the common pain point of boring, time-consuming weekday meals by helping users create tasty, healthy dishes with minimal effort.

Our online community has grown into the millions, and our product’s momentum is accelerating: it took 24 months to hit 100k active subscribers, and just 7 more to reach 200k.

Our data-driven, creative team collaborates daily to build features and recipes that ladder up to our mission. As a fast-paced start up, our core value is make it happen, succeed together.

What You'll Be Doing

You’ll be joining a fast-growing B2C startup where data is at the heart of how we make decisions. You’ll own our data pipelines end-to-end, making sure they’re reliable, scalable, and ready to power the next wave of product innovation and growth.

This role is for someone who sees themselves as a software/data engineer first - someone excited to shape how data engineering fits into our tech stack and who’s motivated by building strong foundations, not just patching things together.

Your focus will be on infrastructure and platform: building the pipelines, orchestration, and tooling that power analytics and experimentation across the business. You won’t spend your days on ad hoc analysis or dash-boarding - instead, you’ll enable the wider team to do that brilliantly by giving them the right setup.

What does success look like in this role?

• Decisions across Product and Growth are powered by accurate, timely insights, with teams able to confidently experiment and optimise campaigns.
  
• Paid acquisition channels (Meta, TikTok, AppsFlyer) are consistently and reliably attributed, improving marketing efficiency and enabling the Growth team to scale spend with precision and maximise ROI.
  
• Subscription and behavioural data (Stripe, Adapty, PostHog, etc.) is unified and accessible, helping the business proactively reduce churn and increase customer lifetime value.
  
• Analytics becomes self-serve, with power users able to explore insights in Looker via well-documented dbt models, reducing reliance on engineers and speeding up decision-making.
  
• The data stack scales to handle higher volumes and unlocks new ML/AI use cases, enabling smarter recommendations and future product innovation.

What You’ll Bring

You know what a robust data pipeline looks like, how to build it, and you’ve supported Growth and Product by keeping critical pipelines running smoothly.

What We're Looking For

• 4+ years of experience as a Data Engineer or in a similar data-focused role: we know “years of 4+ years in data engineering (or a similar data-heavy role). We know “years of experience” doesn’t tell the full story, but for this role we need someone who’s been there, done it, and can help us move fast.
  
• Deep expertise with Google Cloud Platform (especially BigQuery and orchestration).
  
• Hands-on experience with workflow orchestration (Airflow, Dagster, Mage, or Prefect).
  
• Proficiency in SQL and Python plus strong data modelling skills.
  
• Experience with analytics engineering practices (dbt, version control, testing).
  
• Familiarity with ingesting SaaS data (Stripe, GA4, Mixpanel, AppsFlyer, PostHog, etc.).
  
• Good grasp of data reliability and observability practices.
  
• Collaborative mindset -- you enjoy working with Growth, Product, and Engineering to solve problems together.
  

Our Current Stack

You’ll work with (and help evolve) our modern data platform, which currently includes:

• Collection/Tracking: App Store, Google Play, Adapty, AppsFlyer, Stape (GTM server-side), GA4, Mixpanel, PostHog

• Operations/CRM: Stripe, Craft CMS, Supabase, Klaviyo

• Data Platform: Google BigQuery (warehouse), dbt (transformation), Looker (BI)

• Orchestration/Infra: Airflow, Dagster, Mage (evaluating), GCP services (Pub/Sub, Cloud Storage, Vertex AI)

You'll thrive in this role if...

• Want to have end-to-end ownership
  
• Proactively collaborate with Product on their needs
  
• Enjoy working in a fast-paced environment, driven by consumer insight
  
• Enjoy working closely with founders and senior stakeholders
  
• Don’t wait to be told what to do; ask questions, find answers and make things happen
  

We know senior engineers want clarity on where they’ll have impact. In this role, you won’t be expected to:

• Act as an analyst on call: You won’t spend your days doing one-off ad hoc requests; instead, you’ll build the infrastructure that empowers our analyst and the power users to self-serve.

• Focus only on isolated engineering tasks: this isn’t about “just building pipelines.” We want you involved in how data shapes product and growth decisions.

• Work without context: you won’t be left to bury your head in code with no understanding of the business impact; you’ll be part of shaping strategy with the data you enable.

• Do everything manually: the role is about building scalable systems (dbt models, orchestrated pipelines, observability), not firefighting with duct-tape solutions.

• Be a solo operator: success here comes from collaboration across Product, Growth, and Engineering, not working in isolation.

The Details

• Team/Department: Engineering
• Reporting to: Head of Engineering, Georgiy Kassabli
• Contract type: Full-time, permanent
• Start date: ASAP
• Salary range: Mid £65-80k, Senior £80-100k
• Experience: Mid-Senior
• Location: We’re based at our East London office 3 days a week
• Sponsorship: We are able to offer Skilled Worker visa sponsorship for this role.

What’s in it for you?

We’ll pay you between £65,000 and £100,000, depending on your specific skills and experience. We’ll have a chat with you at the beginning of the process to align on levelling for the role. If your expectations are a little different, have a chat with us!

Core benefits:

🏛️EMI scheme: Exciting options scheme giving you meaningful stake in our growing business

💰Bonus: Up to 2% salary each quarter (linked to company-wide targets), totalling up to 8% annually

We also offer plenty of additional benefits, including:

🏝️ Enhanced AL policy: 27 days + Bank Holidays + 3 days to reset between Christmas and New Year

☀️ Finish early Fridays: we finish at 3.30pm on a Friday to start the weekend early

🕰️ Hybrid working (3 days in office) and core hours (9.30am-4.30pm)

🩺 Private Healthcare through Vitality (upon passing Probation)

🧠 Access to our Employee Assistance Programme

🧘 Weekly yoga classes

🏃‍➡️ ClassPass membership

😌 Headspace and Breethe memberships

🐣 Enhanced Parental Leave Policy

📚 Mob Book Club

🎓 L&D budget, providing access to training courses or conferences

⭐ Regular socials and team outings

🍝 Of course, a Mob Premium subscription

👩‍🍳 ...and be the first to taste-test our chef's amazing recipes!

Join us!

Ready to join us and revolutionise weekly cooking? Apply now to be part of our journey.