Senior Data Engineer

Data Engineer (Azure / Databricks)

Location: Poland (primarily remote)
Office: Wrocław
Rate: 170–190 PLN / hour (B2B)

About the Role

We are looking for a passionate and skilled Data Engineer to join a stable and long‑term project team within the Data & AI area of a global automotive leader.

In this role, you will design, build, and optimize modern data pipelines and contribute to scalable, production‑grade data products supporting Sales. This is a hands‑on and highly collaborative position, ideal for someone who enjoys transforming complex data challenges into reliable solutions.

Working Model

• Primarily remote work (One visit in office per 8-10 weeks in Wrocław)

Key Responsibilities

This role combines two major streams of work:

1. Maintenance and support of existing critical data solutions built on Synapse / IICS

2. Strategic redesign and migration of these solutions to a modern Databricks‑based architecture

You will also:

• Design, develop, and optimize data pipelines using Azure Databricks, Python, and Spark

• Implement and maintain data solutions across the Azure Data Platform

• Build and maintain APIs for data ingestion, sharing, and interoperability

• Work closely with business stakeholders to translate requirements into technical solutions

• Ensure data quality, security, and compliance

• Integrate data pipelines into wider business processes and cross‑functional systems

• Continuously improve performance, scalability, and cost‑efficiency of data environments

Required Skills & Qualifications

• Strong knowledge of the IICS stack

• Strong expertise in Azure Databricks, Python, and Spark

• Solid experience with Azure Data Services (Data Lake, ADF)

• Experience with ingestion tools such as Qlik Replicate, MQ, MQCC

• Experience with API development (REST / JSON)

• Solid understanding of ETL, data modeling, and data architecture principles

• Knowledge of CI/CD and version control (Git)

• Strong problem‑solving abilities and ability to work in an agile model

• Excellent communication skills and stakeholder collaboration abilities

Nice to Have

• Experience with big data and Spark performance tuning

• Knowledge of data governance, lineage, and security practices

• Exposure to Power BI or similar BI tools

Benefits

• Private healthcare package

• Sports card program

• Access to professional learning & development platforms

• Long‑term cooperation with a global organization

• Work with modern cloud & data technologies in a mature environment