Data Expert (mfd)

Join our Global Network Analytics area

This is a role for someone who enjoys working close to data understands both technical quality and business context and wants to have a real impact on how data is prepared validated and used by analytical reporting and product teams.

As a Data Expert you will help transform data into a trusted foundation for decision-making reporting and automation. You will combine technical engineering skills with business understanding data quality awareness and a critical approach to AI-supported work

In this role you will:

• Design build and maintain ETL/ELT processes using SQL PySpark and Python including integration of data from different source systems. 
• Develop data layers in Databricks Data Lake and Delta Lake including tables views and data models used by analytical reporting and automation solutions.
• Automate and orchestrate data loading and transformation processes to reduce manual work improve repeatability and lower the risk of errors. 
• Ensure data quality consistency and reliability through validation rules monitoring alerting and incident diagnosis.
• Optimize SQL queries Spark processes and data storage structures with a focus on performance stability scalability and processing costs. 
• Provide reliable ready-to-use data to analysts Product Owners and other stakeholders as a foundation for analysis reporting and automation
• Create and maintain technical documentation in Confluence covering data processes models KPI logic dependencies data lineage and incident-handling procedures 
• Use AI tools consciously as a work accelerator while fully verifying generated code configurations and documentation before implementation.

Qualifications :

What we are looking for

• At least 2 years of experience in Data Engineering Analytics Engineering or data analysis including experience in designing ETL/ELT processes and building data models or data layers for analytical purposes.
• Experience in maintaining production data processes including monitoring issue diagnosis and data quality assurance.
• Experience with cloud solutions especially Microsoft Azure.
• Practical knowledge of SQL Python PySpark and Databricks. 
• Understanding of Data Lake / Delta Lake architecture and data modelling principles. 
• Practical experience with Git and Azure DevOps including managing changes across Dev Test and Prod environments.
• The ability to translate business requirements into technical solutions.
• Advanced English skills enabling confident communication in an international environment. 
• Analytical and logical thinking attention to detail proactivity and the ability to prioritize work under time pressure.

Nice to have

• Experience working in a complex operational environment. 
• Knowledge of dimensional modelling including star schema fact and dimension tables data grain and normalization or denormalization approaches for reporting and analytics. 
• Knowledge of advanced Databricks and Delta Lake mechanisms. 
• Experience with streaming technologies such as Kafka Structured Streaming or Event Hubs. 
• Familiarity with monitoring and alerting tools.
• Knowledge of data security access control metadata management and data lineage principles. 
• Experience with Jira and Confluence.
• Certifications such as Microsoft Certified: Fabric Analytics Engineer DP-600 or Databricks Data Engineer / Analyst Associate.

Dodatkowe informacje :

Why join InPost

• Real ownership your data products will directly influence strategic decisions
• Opportunity to cooperate in a diverse international and cross-functional environment alongside leading experts
• Space to experiment with new technologies including AI tooling and bring innovations into production
• Your impact will be visible immediately 
• We offer B2B type of cooperation

Remote Work :

No

Employment Type :

Full-time