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Analytics Engineer @

2 weeks ago

Kraków, Lesser Poland, Czech Republic Ocado Technology Full time

ESSENTIAL

  • Experience in analytics engineering, data engineering or a related role.
  • Strong SQL skills and hands-on experience with modern data transformation tools (e.g. dbt).
  • Familiarity with cloud-based data platforms (e.g. Snowflake, BigQuery, Redshift).
  • Experience with version control (e.g. Git) and agile development practices.
  • Strong analytical and problem-solving abilities with a keen attention to detail.
  • Excellent written and verbal communication skills (in both Polish and English), with the ability to explain technical concepts to non-technical audiences.

DESIRABLE

  • Experience with data orchestration tools (e.g. Airflow, Prefect).
  • Knowledge of Python and software engineering principles.
  • Familiarity with data visualisation tools (e.g. Looker, Tableau, Power BI).
  • Background in analytics, statistics, or a relevant STEM discipline.

BENEFITS: WHAT'S IN IT FOR YOU?

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.
,[Design, develop and maintain scalable, well-structured data models using tools such as dbt and SQL within our cloud data platforms., Develop and own the semantic/analytical layer, defining consistent metrics, dimensions and business logic to ensure a single source of truth across reports and dashboards., Build and manage data pipelines to ensure timely and accurate data availability., Work closely with analysts, data scientists and stakeholders to deliver clean, well-documented datasets tailored to business needs., Promote best practices in data modelling, transformation, and governance., Monitor pipeline performance and resolve data quality or processing issues., Support the development and optimisation of the company's data infrastructure and workflows.] Requirements: Python