HelloFresh

Senior Data Product Engineer, Intelligent Platforms (all genders)

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SeniorOn-site·WarszawaFull-time

#434935·Dodano dwa miesiące temu·21

Źródło: HelloFresh

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Tech Stack / Keywords

PythondbtSQLSnowplowStatsigDatabricksUnity CatalogAWS Airflow Git

Firma i stanowisko

HelloFresh's HelloTech organisation is a global technology backbone with more than 1000 people building digital products for a subscription-based, direct-to-consumer food model including meal kits, ready-to-eat meals, pet food, and premium meat & seafood. The Behavioral Data & Experimentation Platform team in Warsaw owns digital tracking infrastructure globally, enabling customer experience improvements and business growth.

Wymagania

Hands-on experience with AI tooling such as Claude Code, Cursor, and Copilot beyond casual experimentation.
Scientific or engineering degree (Bachelor's, Master's, or PhD) in computer science, software engineering, or related field.
5+ years as a Data Engineer with production data delivery experience; 2+ years working on data platform systems like semantic layers, catalogs, or schema/governance.
Fluency in Python and dbt, with experience building large-scale, high-quality data pipelines on modern cloud stacks.
Proficiency in SQL for working with large datasets.
Experience with software development practices and tools such as Git, CI/CD, and AWS.
Expertise in leveraging Generative AI tools (e.g., Claude, Copilot) for development, experimentation, and documentation.
Strong communication skills for collaborating with product managers, analysts, and business stakeholders.
Ownership mentality with a bias to ship and ability to finish complex tasks.
Product sense with the ability to back opinions with data and user evidence.

Obowiązki

Become an integral part of a high-impact data platform team, covering behavioral and experimentation data products.
Design, build, and operate platform components behind behavioral data and experimentation infrastructure such as Snowplow, Statsig, Databricks, and Unity Catalog.
Leverage Generative AI to improve and add new capabilities to the data platform.
Build high-quality, well-modeled data pipelines for analytical purposes to enable reliable reporting, experimentation analysis, and self-serve insight across HelloFresh.
Own reliability and scalability of data platform components including schema governance, event standards, lineage, and data quality checks.
Extend and evolve the semantic layer, collaborating with domain teams.
Work with technologies like AWS, Airflow, Databricks Unity Catalog, and Metric Views.
Collaborate with product managers, analysts, and data scientists to create reusable, well-governed data products.
Provide technical guidance and coaching to team members and stakeholders.
Operate the systems you build, including instrumentation, monitoring, and ongoing improvements.

Benefity

Global collaboration with experienced engineers and product partners across HelloTech’s international teams.
Opportunity to build and operate modern systems at global scale supporting millions of customers and complex supply chains.
Leadership opportunities influencing architecture, design, quality, and ways of working in an autonomous, product-led environment.
Responsibility for end-to-end development and delivery from problem definition to production.
Access to Warsaw Centre Point workspace, featuring modern facilities including showers, breakout zones, outdoor spaces, cycle parking, and refreshments such as coffee, soft drinks, and fruit.

Prysznic

Parking dla rowerów

Napoje w biurze

HelloFresh

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