Senior Data Developer

Job not on LinkedIn

🔥 1 minute 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

• Build and maintain data solutions in Databricks using PySpark and SQL • 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 with analysts, Product Owners and international teams • Investigate unexpected results, identify data issues, and add checks for missing, duplicated or inconsistent data • Maintain and improve scheduled Databricks jobs supporting recurring business processes • Keep code understandable and maintainable, and improve performance affecting reliability or processing time • Explore new technologies, including automation and containerized applications • Document data processes, business rules and troubleshooting steps

🎯 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 under time pressure • Nice to have: experience in complex operational environments • Nice to have: knowledge of dimensional modelling, including star schema, fact and dimension tables, data grain, and normalization or denormalization approaches • Nice to have: knowledge of advanced Databricks and Delta Lake mechanisms • Nice to have: experience with Kafka, Structured Streaming or Event Hubs • Nice to have: familiarity with monitoring and alerting tools • Nice to have: knowledge of data security, access control, metadata management and data lineage • Nice to have: experience with Jira and Confluence • Nice to have: Microsoft Certified: Fabric Analytics Engineer DP-600 or Databricks Data Engineer / Analyst Associate certifications

🏖️ Benefits

• B2B type of cooperation • 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 • Real ownership and visible impact on strategic decisions