InPost
InPost Group is an innovative European out-of-home deliveries company, revolutionizing the way parcels are delivered to customers. With operations across several countries, our network of intelligent lockers (Paczkomat®) provides customers with a fast, convenient, and secure delivery option. Our mission is to provide best-in-class user experience for merchants and consumers. "Simplify everything" – redefining e-commerce logistics. We work by innovating the market with constant technological research and with meticulous attention to the customer.
Overview We are seeking a highly skilled and visionary Data Architect to lead the strategic design and implementation of our global data model at InPost. This role demands a passion for building robust, scalable, and future-proof data ecosystems.
Responsibilities
Creating a strategy for designing the architecture and implementation process of a global data model, taking into account the multitude of source systems within the InPost Group, and thus the specific business needs of all markets within the InPost Group.
Defining and overseeing the data naming strategy, establishing conventions, harmonizing existing names, and ensuring consistent application across the InPost Group. This will improve data readability and understanding, facilitate inter-team communication, and support process automation and AI utilization throughout the entire organization.
Collaboration at various levels, including senior stakeholders from all InPost Group markets, to identify and prioritize data initiatives that drive business value.
Staying at the forefront of data architecture trends and technologies, recommending and implementing innovative solutions to enhance InPost's data capabilities.
Training and mentoring of data engineering and data consultanting teams on data modeling approaches (theory, tools, strategies).
Creating comprehensive, multi-layered technical documentation that specifies the technical aspects of the data architecture, providing a clear and concise description of the solutions at InPost Group.
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, as well as willingness to work with in-house frameworks for creating data objects
Extensive experience in designing and implementing data warehouses (preferably modern big data warehouses, data lakehouse), (long-term) experience with data modeling in star schema, theoretical and practical knowledge of Kimball approach
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 and experience in optimization of: queries in the Big Data stack, ETL processes, data storage solutions and partitioning strategies for high-performance analytics and processing
Familiarity with the Parquet file format and experience working with Delta Lake, including data versioning, storage optimization, ensuring data integrity, and handling ACID transactions
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
We will appreciate also
Knowledge of BI tools (Power BI preferred / Tableau)
Experienced in establishing and enforcing data governance policies using Unity Catalog in Databricks for centralized data access control, lineage, and auditing
Capability in defining and managing data quality frameworks, metadata management, and data cataloging
Expertise in implementing role-based access control (RBAC) and data encryption (at rest and in transit) to ensure data security and compliance with regulations like GDPR, CCPA, and HIPAA
Ability to present technical concepts and solutions to diverse audiences
The course of the recruitment process
Step 1: HR Interview
Step 3: Technical Interview (60 min)
Step 5: Home task presentation and discussion (60 min)
Job details
Seniority level: Not Applicable
Employment type: Full-time
Industries: Transportation, Logistics, Supply Chain and Storage
Referrals increase your chances of interviewing at InPost by 2x
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Overview We are seeking a highly skilled and visionary Data Architect to lead the strategic design and implementation of our global data model at InPost. This role demands a passion for building robust, scalable, and future-proof data ecosystems.
Responsibilities
Creating a strategy for designing the architecture and implementation process of a global data model, taking into account the multitude of source systems within the InPost Group, and thus the specific business needs of all markets within the InPost Group.
Defining and overseeing the data naming strategy, establishing conventions, harmonizing existing names, and ensuring consistent application across the InPost Group. This will improve data readability and understanding, facilitate inter-team communication, and support process automation and AI utilization throughout the entire organization.
Collaboration at various levels, including senior stakeholders from all InPost Group markets, to identify and prioritize data initiatives that drive business value.
Staying at the forefront of data architecture trends and technologies, recommending and implementing innovative solutions to enhance InPost's data capabilities.
Training and mentoring of data engineering and data consultanting teams on data modeling approaches (theory, tools, strategies).
Creating comprehensive, multi-layered technical documentation that specifies the technical aspects of the data architecture, providing a clear and concise description of the solutions at InPost Group.
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, as well as willingness to work with in-house frameworks for creating data objects
Extensive experience in designing and implementing data warehouses (preferably modern big data warehouses, data lakehouse), (long-term) experience with data modeling in star schema, theoretical and practical knowledge of Kimball approach
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 and experience in optimization of: queries in the Big Data stack, ETL processes, data storage solutions and partitioning strategies for high-performance analytics and processing
Familiarity with the Parquet file format and experience working with Delta Lake, including data versioning, storage optimization, ensuring data integrity, and handling ACID transactions
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
We will appreciate also
Knowledge of BI tools (Power BI preferred / Tableau)
Experienced in establishing and enforcing data governance policies using Unity Catalog in Databricks for centralized data access control, lineage, and auditing
Capability in defining and managing data quality frameworks, metadata management, and data cataloging
Expertise in implementing role-based access control (RBAC) and data encryption (at rest and in transit) to ensure data security and compliance with regulations like GDPR, CCPA, and HIPAA
Ability to present technical concepts and solutions to diverse audiences
The course of the recruitment process
Step 1: HR Interview
Step 3: Technical Interview (60 min)
Step 5: Home task presentation and discussion (60 min)
Job details
Seniority level: Not Applicable
Employment type: Full-time
Industries: Transportation, Logistics, Supply Chain and Storage
Referrals increase your chances of interviewing at InPost by 2x
#J-18808-Ljbffr