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InPost Group
InPost Group
eCommerceLogisticsTransport
InPost Group operates an out-of-home delivery network for e-commerce, combining Automated Parcel Machines, courier services, and pick-up and drop-off locations. Its platform helps merchants and consumers manage parcel delivery with convenient collection options and delivery infrastructure across Poland, France, the Benelux region, the United Kingdom, and Italy. The company focuses on technology-enabled logistics and lower-impact delivery models, supporting the continued growth of online retail across Europe.
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Senior Data Developer (Remote, Poland)

Join InPost Group as a Senior Data Developer supporting reliable data platforms for its European parcel network. Build and optimize ETL/ELT pipelines, Databricks data layers, and quality controls for analytics and automation.

PLPolandRemoteFull-timeSeniorEnglish RequiredSoftware Engineer
AzureCloudETLKafkaPySparkPythonSparkSQL

Description

  • Build and maintain ETL/ELT workflows with SQL, PySpark, and Python while integrating data from multiple source systems.
  • Create Databricks, Data Lake, and Delta Lake layers, including tables, views, and analytical data models.
  • Automate and coordinate data ingestion and transformation workflows.
  • Maintain data accuracy and reliability through validation, monitoring, alerting, and incident investigation.
  • Improve SQL queries, Spark workloads, and storage designs to enhance performance, scalability, stability, and cost efficiency.
  • Deliver dependable, production-ready data to analysts, Product Owners, and other stakeholders.
  • Maintain Confluence documentation for data processes, models, KPI definitions, dependencies, lineage, and incident procedures.
  • Use AI tools to accelerate delivery while reviewing generated code, configurations, and documentation before deployment.

Requirements

  • At least two years of experience in Data Engineering, Analytics Engineering, or data analysis.
  • Experience designing ETL/ELT workflows and developing analytical data models or data layers.
  • Background maintaining production data processes, including monitoring, troubleshooting, and data quality assurance.
  • Experience with cloud platforms, particularly Microsoft Azure.
  • Hands-on proficiency with SQL, Python, PySpark, and Databricks.
  • Understanding of Data Lake and Delta Lake architectures and data modeling principles.
  • Practical experience with Git and Azure DevOps across Development, Test, and Production environments.
  • Ability to convert business needs into effective technical solutions.
  • Advanced English communication skills for work in an international environment.
  • Analytical, logical, detail-oriented, proactive, and able to prioritize under time pressure.
  • Experience working in a complex operational environment is an advantage.
  • Knowledge of dimensional modeling, including star schemas, fact and dimension tables, data grain, and normalization or denormalization for reporting and analytics is an advantage.
  • Knowledge of advanced Databricks and Delta Lake capabilities is an advantage.
  • Experience with Kafka, Structured Streaming, or Event Hubs is an advantage.
  • Familiarity with monitoring and alerting tools is an advantage.
  • Knowledge of data security, access control, metadata management, and data lineage principles is an advantage.
  • Experience with Jira and Confluence, or relevant Microsoft Fabric and Databricks certifications, is an advantage.
  • benefits:[

Benefits

  • Own data products that directly support strategic business decisions.
  • Work in a diverse, international, cross-functional team alongside experienced specialists.
  • Experiment with emerging technologies, including AI tools, and take useful innovations into production.
  • See the direct, immediate effects of your work.
  • B2B cooperation arrangement.

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