About the role
Opis oferty pracy
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 Developer 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:
What you will do
* Build and maintain data solutions in Databricks using PySpark and SQL. You will work on new requirements as well as read, understand and extend existing notebooks and data processes. * Combine data from different systems and prepare reliable datasets for reports, operational processes and business users. * Create and maintain Delta tables, views and data models, including daily snapshots and reference or mapping datasets. * Translate business requirements into data logic in cooperation with analysts, Product Owners and international teams. * Investigate unexpected results, identify data issues and add practical checks for missing, duplicated or inconsistent data. * Maintain and improve scheduled Databricks jobs that support recurring business processes. * Keep code understandable and maintainable, and improve performance where it affects reliability or processing time. * Curiosity about new technologies and openness to exploring solutions beyond traditional data processing, including automation and containerized applications. * Document data processes, key business rules and common troubleshooting steps.
Kwalifikacje
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