Location:
Wroclaw, Poland
Seniority:
Senior
Technologies:
Data, Data Science
Our client is a global jewelry manufacturer undergoing a major transformation, moving from IaaS-based solutions to a modern Azure PaaS data platform. As part of this journey, you will design and implement scalable, reusable, and high-quality data products using technologies such as Data Factory, Data Lake, Synapse, and Databricks. These solutions will enable advanced analytics, reporting, and data-driven decision-making across the organization. By collaborating with product owners, architects, and business stakeholders, you will play a key role in maximizing the value of data and driving measurable commercial impact worldwide.
-
Design, build, and maintain scalable, efficient, and reusable data pipelines and products on the Azure PaaS data platform.
-
Collaborate with product owners, architects, and business stakeholders to translate requirements into technical designs and data models.
-
Enable advanced analytics, reporting, and other data-driven use cases that support commercial initiatives and operational efficiencies.
-
Ingest, transform, and optimize large, complex data sets while ensuring data quality, reliability, and performance.
-
Apply DevOps practices, CI/CD pipelines, and coding best practices to ensure robust, production-ready solutions.
-
Monitor and own the stability of delivered data products, ensuring continuous improvements and measurable business benefits.
-
Promote a “build-once, consume-many” approach to maximize reuse and value creation across business verticals.
-
Contribute to a culture of innovation by following best practices while exploring new ways to push the boundaries of data engineering.
-
5+ years of experience as a Data Engineer with proven expertise in Azure Synapse Analytics and SQL Server.
-
Advanced proficiency in SQL, covering relational databases, data warehousing, dimensional modeling, and cubes.
-
Practical experience with Azure Data Factory, Databricks, and PySpark.
-
Track record of designing, building, and delivering production-ready data products at enterprise scale.
-
Strong analytical skills and ability to translate business requirements into technical solutions.
-
Excellent communication skills in English, with the ability to adapt technical details for different audiences.
-
Experience working in Agile/Scrum teams.
Nice-to-Have Skills
-
Familiarity with infrastructure tools such as Kubernetes and Helm.
-
Experience with Kafka.
-
Experience with DevOps and CI/CD pipelines.
-
Experience with GitHub migration
Benefits:
- Paid Vacation
- Sick Days
- Sport/Insurance Compensation
- English Classes
- Charity
- Training Compensation