Data Architect

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October 10

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InPost Group

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eCommerce • Transport • Logistics

InPost Group is Europe's leading e-commerce enablement platform, specializing in out-of-home delivery services. Founded in 1999 by CEO Rafal Brzoska, InPost provides cost-effective and environmentally friendly delivery solutions through a robust network of Automated Parcel Machines (APMs) and courier services. The company also offers pick-up drop-off (PUDO) services, enhancing convenience and efficiency for e-commerce merchants across Europe. InPost is committed to sustainability, reducing carbon emissions significantly in its delivery processes. With operations in countries like Poland, France, Benelux, the UK, and Italy, InPost continues to expand its innovative technology solutions to drive long-term growth in the e-commerce sector.

10,000+ employees

🛍️ eCommerce

🚗 Transport

📋 Description

• Creating a strategy for designing the architecture and implementation process of a global data model • Defining and overseeing the data naming strategy • Collaboration at various levels with senior stakeholders • Staying at the forefront of data architecture trends and technologies • Training and mentoring of data engineering and data consulting teams • Creating comprehensive, multi-layered technical documentation

🎯 Requirements

• Minimum 6 years of experience in the field of data engineering / analytics engineering • 2 years of experience as a Data Architect • Expertise in SQL • Advanced knowledge of Python, Spark, Databricks, Azure , DBT • Experience in designing and implementing data warehouses (preferably modern big data warehouses, data lakehouse) • Long-term experience with data modeling in star schema • Deep understanding of medallion architecture • Proven track record of successfully delivering Big Data & Analytics solutions • Proficiency in modern Data & Analytics technology stacks and architectural patterns • Knowledge in optimization of queries in the Big Data stack, ETL processes • Familiarity with the Parquet file format and experience working with Delta Lake • Understanding of the end-to-end development lifecycle of analytical data products • High level of communication and cross-team collaboration skills • Familiarity with CI/CD and git (preferred GitLab) • Fluent Polish and English.

🏖️ Benefits

• Health insurance • Retirement plans • Flexible work arrangements • Professional development