Data Engineer

Mob; City Of London; On-site; GBP 65,000 - 100,000; Full time

Job summary

A growing cooking app company in East London is seeking a Data Engineer to manage data pipelines, ensuring reliability and scalability for product innovations. You will collaborate with Product and Growth teams and work in a dynamic startup environment. Competitive salary between £65,000 and £100,000, depending on experience.

Benefits

EMI scheme

Bonus up to 8% annually

Enhanced AL policy

Finish early Fridays

Hybrid working

Private Healthcare

Access to Employee Assistance Programme

Weekly yoga classes

ClassPass membership

Enhanced Parental Leave Policy

Learning and Development budget

Responsibilities

• Own our data pipelines end-to-end, ensuring reliability and scalability.
• Build the pipelines and tooling for analytics and experimentation.
• Support Growth and Product by keeping critical pipelines running smoothly.

Skills

4+ years of experience as a Data Engineer

Deep expertise with Google Cloud Platform (BigQuery)

Hands-on experience with workflow orchestration

Proficiency in SQL and Python

Experience with analytics engineering practices

Familiarity with ingesting SaaS data

Good grasp of data reliability and observability

Collaborative mindset

Tools

Airflow

Dagster

Mage

Google BigQuery

dbt

Job description

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.
• 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

• 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

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: East London office 3 days a week
• Sponsorship: Skilled Worker visa sponsorship available

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. Team Engineering Locations London HQ