Level

Ocado Group

Senior Data Engineer

AI in this role

About Us

We are Ocado Technology and we empower global grocery retailers with cutting-edge cloud, robotics, AI, and IoT. Our Ocado Smart Platform (OSP) powers highly automated Customer Fulfilment Centres (CFCs), enabling efficient, single-pick online grocery delivery.

The Data Platform team is responsible for foundational tooling that supports scalable, secure, and efficient data workflows. Building on top of our Data Intelligence Platform, their work enables consistent environment management, reliable pipeline orchestration, and supports the broad adoption of industry-standard tools for data transformation and quality monitoring.

The team will also be responsible for capabilities that accelerate the path to production for data products and enable more effective and secure data sharing with partners - helping Ocado Technology meet partner data, analytics, and machine learning needs, and supporting decision making to drive partner growth.

What you'd work on
  • Maintain and improve a live slot-availability application used directly by customers, including its reliability and performance.
  • Write and evolve infrastructure as code (Terraform/OpenTofu) for the cloud environments the platform runs on.
  • Support and extend backend services, APIs, and data pipelines that feed the wider 6RS analytics and reporting platform.
  • Modernise the platform by untangling technical debt and tuning Airflow/Composer (right-sizing pools, setting K8s resource requests, and optimizing DAGs).
  • Take part in monitoring, alerting, and incident response so issues are caught before customers feel them.
  • Work closely with a small, distributed team and other engineering groups across Ocado Group.
What we're looking for
  • Solid software engineering experience in Python.
  • Hands-on experience with infrastructure as code (Terraform, or similar like Ansible/CloudFormation) on GCP or another major cloud provider.
  • Comfortable with core DevOps practices—source control workflows, CI/CD, and thinking about deployment strategy rather than just following one.
  • Comfort working across the stack: happy moving between application code, pipelines, and infrastructure in the same week.
  • A pragmatic, ownership-minded approach—able to pick up ambiguous problems, juggle workstreams, and adapt as priorities shift.
  • Fluent written and spoken English, with hands-on exposure to: Python, TypeScript, Terraform, GCP, BigQuery, Airflow, CI/CD, and PostgreSQL.
Nice to have
  • TypeScript/Node.js experience—some services on the platform are written in it.
  • Hands-on experience with Airflow (or another orchestrator) beyond writing DAGs—tuning scheduler pools, resource allocation, and diagnosing slow pipelines.
  • Exposure to dbt, BigQuery, or other cloud data-warehouse tooling.
  • An understanding of core security principles (least privilege, separation of duties) and how they apply to real infrastructure.
  • Comfortable working in Unix/Linux environments.
  • Experience supporting a live, customer-facing production system.

What We Offer

We believe in supporting our people with meaningful, flexible benefits that prioritise well-being and work-life balance. Here’s a snapshot of what you can expect:

  • Hybrid office attendance policy that sees you onsite 40% of your time
  • 30 days of “Work from anywhere” program
  • 30 days of annual leave
  • Share plan program
  • 150 EUR additional monthly allowance
  • Enhanced maternity and paternity leave policy
  • Medical plan including health & dental coverage
  • Life and disability insurance

Ocado Group is an equal opportunities employer and as such makes every effort to ensure that all potential employees are treated fairly and equally, regardless of their sex, sexual orientation, marital status, race, colour, nationality, ethnic or national origin, religion or belief, age, or disability or union membership status.

 

How we rate this

Senior Data Engineer at Ocado Group rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

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