Analytics Engineer

Ocado Technology Group; Snowflake (AZ); Hybrid; USD 80,000 - 120,000; Full time

Job summary

Ocado Technology Group seeks a proactive and detail-oriented Analytics Engineer to join their data team in Poland. The role involves developing scalable data models and managing data pipelines to support reporting and decision-making across the organization. Candidates should possess strong SQL skills and experience with cloud-based data platforms, coupled with excellent communication skills.

Benefits

Life insurance

Private health care

Multisport card

Lunch vouchers

Company share programs

Learning opportunities

Parental support

Hybrid working model

Career growth opportunities

Centrally located offices

Qualifications

• Experience in analytics engineering, data engineering or a related role.
• Strong SQL skills and experience with dbt.
• Familiarity with cloud platforms like Snowflake or BigQuery.

Responsibilities

• Design and maintain scalable data models.
• Build and manage data pipelines.
• Promote best practices in data modeling.

Skills

SQL

Data Transformation

Analytical Skills

Problem Solving

Communication Skills

Education

Degree in a relevant STEM discipline

Tools

dbt

Cloud Data Platforms

Git

Job description

At Ocado Technology, we craft products tailored to meet the unique needs of our partners worldwide. From e-commerce software and automated warehouse solutions to robotics and optimised delivery, we're reshaping the online grocery space and beyond through innovation.

In Poland, we are a local team of technologists with a global scale. In the hearts of Wrocław and Kraków, we have gathered over 700 tech wizards - and let them do their magic.

ABOUT THE ROLE:

We are looking for a proactive and detail-oriented Analytics Engineer to join our growing data team in Poland. In this role, you’ll act as the link between data engineering and data analysis, building robust, well-documented data models that support reliable reporting and informed decision-making across the organisation.

• 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.

Key skills and experience:

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
• 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.

At Ocado Technology, we're always exploring, learning, and implementing new initiatives, and we're eager to share stories, insights, and experiences with you. Meet our team members during meetups [Watch recordings here ]

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