Senior Data Developer

Job not on LinkedIn

🔥 6 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🖥 Software Engineer

👻 Ghost score 14%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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InPost Group

WebsiteLinkedInAll Job Openings

10,000+ employees

🛍️ eCommerce

🚗 Transport

📦 Logistics

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.

📋 Description

• 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 for analytical, reporting and automation solutions • Automate and orchestrate data loading and transformation processes • Ensure data quality, consistency and reliability through validation rules, monitoring, alerting and incident diagnosis • Optimize SQL queries, Spark processes and data storage structures for performance, stability, scalability and processing costs • Provide reliable, ready-to-use data to analysts, Product Owners and other stakeholders • Create and maintain technical documentation in Confluence covering data processes, models, KPI logic, dependencies, data lineage and incident-handling procedures • Use AI tools as a work accelerator while verifying generated code, configurations and documentation before implementation

🎯 Requirements

• At least 2 years of experience in Data Engineering, Analytics Engineering or data analysis • Experience designing ETL/ELT processes and building data models or data layers for analytical purposes • Experience 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 • Ability to translate business requirements into technical solutions • Advanced English skills for confident communication in an international environment • Analytical and logical thinking, attention to detail, proactivity and ability to prioritize work under time pressure • 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

🏖️ Benefits

• 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 • Visible immediate impact • B2B type of cooperation