OVERVIEW
Responsibilities
Requirements 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, develop, and maintain scalable ETL processes and data pipelines.
Collaborate with product owners, architects, and cross-functional teams to translate business and product requirements into technical solutions.
Ingest, transform, and optimize large, complex data sets while ensuring data quality, reliability, and performance.
Ensure data integrity, quality, and consistency through rigorous testing and validation.
Optimize data storage, retrieval, and processing for performance and scalability.
Apply DevOps practices, CI/CD pipelines, and coding best practices to ensure robust, production-ready solutions.
Document technical specifications, data models, and system architecture for team alignment and long-term maintainability.
Contribute to a culture of innovation by following best practices while exploring new ways to push the boundaries of data engineering.
Must-Have Skills
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.
Location:
Other, Central Europe
Seniority:
Senior
Technologies:
Data
Benefits:
Paid Vacation
Sick Days
Floating Holidays
Sport/Insurance Compensation
English Classes
Charity
Training Compensation