Senior Data Engineer

Quick Facts

• Role: Senior Data Engineer

• Focus: Azure Data Platform + Lakehouse architecture

• Work model: 100% remote (B2B)

Description

Design, develop, and maintain scalable data solutions within the Azure Data Platform ecosystem. Build and optimize ETL/ELT pipelines using Python, SQL, and Apache Spark, leveraging Azure Databricks and a modern Lakehouse approach. Support platform modernization (including Unity Catalog adoption and upgrades), data governance, and production incident troubleshooting to deliver reliable data for reporting, analytics, and AI/ML.

Responsibilities

• Design, develop, and maintain scalable Azure-based data solutions

• Build and optimize ETL/ELT pipelines for ingestion, transformation, and delivery

• Develop data processing solutions with Python, SQL, and Apache Spark

• Work with Azure Databricks, Azure Synapse Analytics, and Azure Data Lakehouse environments

• Develop and maintain Databricks workflows and Delta Live Tables (DLT) orchestration

• Support platform modernization initiatives (Unity Catalog adoption, platform upgrades)

• Translate business requirements into technical solutions with architects, analysts, and stakeholders

• Ensure data quality, reliability, performance, and security

• Troubleshoot production incidents and perform root cause analysis with corrective actions

• Contribute to CI/CD, infrastructure automation, monitoring, and logging

• Optimize data pipelines, storage structures, and processing workloads to reduce cost and improve efficiency

• Support data governance and engineering best practices

• Provide reliable data foundations for reporting, analytics, and AI/ML initiatives

• Share knowledge and support the team’s technical development

Requirements

• Experience as a Data Engineer with modern data platforms

• Strong knowledge of Python, SQL, and Apache Spark

• Hands-on experience with Azure Cloud and Azure Databricks

• Experience with Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Azure Data Explorer

• Experience building and maintaining ETL/ELT processes

• Practical knowledge of Delta Live Tables (DLT) and Unity Catalog

• Understanding of Lakehouse architecture and data platform design principles

• Experience with CI/CD and Azure DevOps

• Knowledge of infrastructure automation, monitoring, and logging

• Strong analytical and problem-solving skills

• Ability to work independently, take ownership, and proactively identify improvement areas

• Strong communication skills for collaboration with technical teams and business stakeholders

• English proficiency at B2+ level

Benefits

• 100% remote work

• B2B cooperation (rate up to 150 PLN/h net)

• Private medical care package

• MyBenefit cafeteria platform

• Flexible payment arrangements

• 14-day invoice payment term

• Long-term cooperation