💻 Ework Group - founded in 2000, listed on Nasdaq Stockholm, with around 13,000 independent professionals on assignment - we are the total talent solutions provider who partners with clients, in both the private and public sector, and professionals to create sustainable talent supply chains.

With a focus on IT/OT, R&D, Engineering and Business Development, we deliver sustainable value through a holistic and independent approach to total talent management.

By providing comprehensive talent solutions, combined with vast industry experience and excellence in execution, we form successful collaborations. We bridge clients and partners & professionals throughout the talent supply chain, for the benefit of individuals, organizations and society.

🔹 For our Client from automotive industry we are looking for Senior Data Engineer🔹

Please, note the Client expects to cooperate in hybrid model at the office in Wrocław (at least 1 day in the office).

Description: In the VCE PML team, we make the right Data Available for Analytics Value and drive the growth of Analytics Capabilities.

In PML Team, you will support the complete lifecycle of enterprise data: Source Systems → Data Integration → Unified Data Platform → Data Marts, Universes & Semantic Models → BI & Analytics → AI & Data Products.

You will:

• design and maintain data integration pipelines that connect enterprise source systems to the Unified Data Platform (Data Lake)

• create and maintain structured analytical datasets, including data marts, universes and semantic models, that enable business users to easily access trusted and well-defined data

• be a partner with business teams to deliver high-value reporting and analytics solutions, including: Interactive dashboards in Microsoft Power BI, Enterprise reports using SAP BusinessObjects, Domain data products and analytical datasets, Operational and strategic reporting solutions

• supports the development and deployment of advanced analytics and AI solutions that leverage enterprise data. These include: Predictive analytics models, Machine learning solutions, AI-powered decision support tools, Intelligent data products

Key responsibilities

• Collaborate with business stakeholders to understand requirements and translate them into data engineering solutions.

• Design, build, and maintain end-to-end data pipelines for ingestion, transformation, and processing using Azure services, Databricks, IICS, and Azure Synapse.

• Develop advanced transformation logic in Databricks and IICS to support complex business use cases.

• Knowledge of modern Data Modeling and Design concepts

• Set up and manage DevOps environments, including configurations, CI/CD pipelines, releases, deployments, and hotfix management.

• Write clean, efficient, and maintainable code in SQL, Python, PySpark, and scripting languages.

• Actively contribute in an Agile environment, ensuring transparency, collaboration, and continuous improvement.

Required skills

• Several years of experience in Data Engineering.

• Strong hands-on experience with Databricks, Azure Services (Azure Data Factory, Azure SQL Database, Azure Key Vault), IICS, and Azure Synapse.

• Advanced programming skills in Python, PySpark, and SQL.

• Experience designing and implementing CI/CD pipelines and managing Azure DevOps environments.

• Knowledge of API integrations and enterprise data architecture, theoretical AI knowledge

• Experience working in Agile/Scrum teams.

• Strong analytical and problem-solving skills

Contact person: dominika.kisiel@eworkgroup.com

Client code: MO02

Do you know someone who would fit this position? Recommend a candidate by sending her/his CV to: polecenia@eworkgroup.com

Whistleblowing Policy, which provides guidelines for reporting misconduct can be found on Ework website: https://www.eworkgroup.com/about-us/our-responsibility