Description:
TSW Core is looking for a highly motivated Data Engineer. In this role, you will be responsible for designing and implementing robust data warehouse architectures, enabling data-driven decision-making through scalable systems that support real-time and batch processing. If you're passionate about building high-quality data pipelines and delivering actionable insights to drive business performance, we want to hear from you.
This position is part of our client placement program. Successful candidates will be hired by TSW Core and assigned to work with one of our partner organizations. As part of the selection process, shortlisted applicants will participate in additional interviews with the client’s management team to ensure alignment with project requirements and team fit.
Key Responsibilities:
-
Design and develop data warehouse architecture and implement best practices in data governance and data asset access control
-
Build and maintain a comprehensive data system by deeply understanding business processes and providing both real-time data services and actionable data reports to support business operations
-
Research and implement technologies for both real-time and batch data processing in the big data domain, promoting their adoption in various business use cases
-
Collaborate closely with cross-functional teams to translate business needs into technical solutions, ensuring data reliability, quality, and timeliness
TSW Core is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Requirements:
- Experience: 5 years of hands-on experience in data warehouse or big data development, with solid expertise in building both real-time and offline data pipelines
-
Proven experience in data warehouse migration, including planning, execution, and validation of large-scale data transfer and transformation projects
-
Proficiency in big data tools and frameworks such as Spark, Flink, and at least one of SQL dialects for big data
-
Strong understanding of data modeling concepts, especially dimensional modeling and data warehousing theory
-
Strong business understanding with the ability to quickly grasp the logic behind complex data systems
-
Excellent communication and collaboration skills, with a proactive attitude towards problem-solving
Preferred:
-
Extensive data engineering experience combined with strong business acumen in the E-commerce domain, particularly with platforms such as Shopify or similar platforms
-
Multilingual capabilities or cross-cultural communication experience in European markets is a plus
