Job Description, Responsibilities & Requirements
About the Position
We are seeking a Data Engineer with expertise in Spark and Azure to join our global financial services firm in Krakow, Poland. This is a hybrid role requiring presence in the client's office in Krakow 3 days a week, with flexible working hours.
Responsibilities
- Design, build, and optimize an internal data search engine
- Analyze datasets and metadata to improve searchability, indexing, and relevance
- Gather and refine search and data discovery requirements with business and IT stakeholders
- Translate business needs into technical specifications and support Agile delivery
- Ensure integration with the broader data ecosystem (data, platform, analytics teams)
- Support testing and monitor search performance, accuracy, and usability
- Prepare analytical reports on data availability and search effectiveness
Requirements
- 3 years + of experience as a Data Engineer, including exposure to large-scale or Big Data environments
- Strong experience with SQL and database systems (relational and NoSQL), including query optimization and schema design
- Strong programming skills in Python and Spark
- Experience with Azure cloud services, including Azure Databricks, Data Lake, and Azure Data Factory, would be beneficial
- Strong communication and stakeholder management skills, with the ability to translate search-related needs into technical solutions
About the Company
Our client is a leading global financial services firm providing wealth management, investment banking, and asset management services to clients worldwide.