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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. The responsibilities of this role include: Collaborate with cross-functional teams, including data practitioners, platform engineers, and partner teams, to gather requirements and deliver high-quality, reliable platform features that support diverse data workflows. Understanding stakeholder needs, to ensure the platform delivers real value and accelerates their work. Design, build, and maintain robust, scalable, and secure data platform components across the full technology stack, with a focus on pipeline orchestration, data transformation, and infrastructure automation. Take ownership of key components within the data platform, driving design decisions, roadmap contributions, and continuous improvements. Contribute to code reviews, testing, deployment, and operational support processes to ensure the stability and maintainability of platform services and tooling. Stay current with industry trends in data engineering, cloud infrastructure, and platform tooling, and bring new ideas and technologies into the team where appropriate. Act as a platform advocate, partnering with product and engineering teams to ensure adoption and effective use of platform services. Support community and team growth through mentoring, documentation, recruitment activities, knowledge sharing, and participation in working groups — contributing to Ocado Technology's high-performance engineering culture. Essential You will have: A minimum of 4 years' hands-on experience developing production-grade data engineering solutions in Python , including writing clean, testable, and maintainable code. Comfortable using AI-assisted development tools (e.g. Claude, Gemini, Copilot) as part of the engineering workflow — for code generation, review, debugging, or documentation. A proven track record of delivering scalable, reliable data engineering solutions using modern cloud-native tools and workflows (e.g. Grafana, Airflow, Terraform). Strong communication and stakeholder collaboration skills, with the ability to work across engineering, product, and data functions. A pragmatic, delivery-focused mindset with a deep appreciation for maintainability, security, and operational excellence in platform engineering. Experience building or supporting shared data infrastructure components (e.g. orchestration frameworks, CI/CD pipelines, or infrastructure as code) Desirable Familiarity with Grafana, Airflow, BigQuery, and Terraform Experience with GCP + AWS infrastructure and operations Exposure to data quality tooling 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.