Must have

• Python

• dbt

• Airflow

• Terraform

• Polish

• English

Nice to have

• BigQuery

Requirements description

• A proven track record of delivering scalable, reliable data engineering solutions using modern cloud-native tools and workflows (e.g. dbt, 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)
• Experience mentoring other engineers or leading technical initiatives in a platform or data engineering context.

What will make you stand out:

• Familiarity with BigQuery
• Experience with GCP infrastructure and operations
• Exposure to Validio or similar data quality tooling

Offer description

Work and life should fit together, so we offer a range of benefits focusing on well-being, development, and team spirit. The final package will depend on the contract type we agree on.

• Standard benefits: life insurance, private health care [Luxmed], Multisport card, lunch vouchers, company share programs, and assistance for everyday worries and serious health problems.
• Learning opportunities: access to the Learnebly platform and LinkedIn Learning, English classes, and a book library,
• Parental support: additional +10 days maternity / +20 days paternity leave, funding for nurseries and kindergartens
• Hybrid model: 2 days/week in the office and flexibility to work from almost any location for up to 30 days a year.
• Office perks: centrally located offices with car and cycling parking, and home office equipment provided.
• Career growth: a clear career path with opportunities to rotate between projects, teams, domains and roles under the guidance of highly skilled senior colleagues
• High engineering culture: unique software engineering culture with a high level of test coverage and agile environment [read about our tech stack and engineering

practices across Ocado Technology]

• Speaker community: public speaking training and support for preparing presentations at conferences or meetups, including our own Ocado Technology Meetups
• Passions groups: running, cycling and more
• Annual celebrations: carnival, summer parties, family picnics, or kid’s days.

Your responsibilities

1. 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.
2. 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.
3. Contribute to code reviews, testing, deployment, and operational support processes to ensure the stability and maintainability of platform services and tooling.
4. Stay current with industry trends in data engineering, cloud infrastructure, and platform tooling, and bring new ideas and technologies into the team where appropriate.
5. Act as a platform advocate, partnering with product and engineering teams to ensure adoption and effective use of platform services.
6. 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.