Build and maintain scalable data pipelines and workflows
Design and evolve robust data models and architectures
Ensure high standards for data quality, reliability, and monitoring
Collaborate cross-functionally with engineering, analytics, and product teams
Lead technical decisions across the data engineering stack
Improve platform performance, scalability, and cost efficiency
Mentor engineers and champion engineering best practices
Support the delivery of reliable, well-documented, production-grade data solutions

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
At least 4 years of experience in Data Engineering roles
Former experience in a leadership or mentoring position
Strong knowledge of data modeling methodologies and Data Warehousing practices
Advanced experience with Azure technologies (Databricks, Data Factory etc.)
Knowledge of SQL Server, SSIS, Python
Solid experience in designing and implementing ETL processes
Experience with data visualization tools such as Tableau, Power BI, or similar
Strong understanding of data architecture principles and scalable system design
Excellent leadership, communication, and stakeholder management skills
Strong analytical thinking and problem-solving capabilities

Senior Data Engineer

Key skills