Senior Data Operations Engineer at iKnowHow designing and implementing scalable data - driven applications. Focus on data pipelines, APIs, and collaboration across teams for project success.
About the role
- Senior Data Engineer leading and mentoring a team in building scalable data pipelines for digital transformation projects in an international software company.
Responsibilities
- 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
Requirements
- 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
Benefits
- An attractive salary package
- Private health insurance plan
- Career development and growth opportunities
- Continuous training via personalized seminars
- An amazing private & open-office workspace in Athens
- Stable and enjoyable working environment
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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