Tietoevry is seeking a Senior Data Engineer for its Tech Consulting team. You will design and develop robust data solutions, contribute to architecture, and drive the implementation of scalable data pipelines. This role focuses on delivering high-quality, efficient data systems for clients.
What You'll Do
- Collaborate on the architecture and design of data solutions
- Develop and maintain scalable ETL processes
- Optimize data storage, processing, and analytics solutions
- Ensure best practices in CI/CD and infrastructure as code
- Work closely with cross-functional teams to deliver high-quality solutions
What We're Looking For
- Strong hands-on experience with Azure Data Factory for data integration, orchestration, and pipeline development
- Deep understanding of Snowflake – data modeling, performance optimization, and query tuning
- Proficiency with Databricks (PySpark or Spark SQL) for data transformation and large-scale data processing
- Solid knowledge of data architecture, ETL/ELT design, and data pipeline automation
- Experience with cloud solutions, ideally within the Azure ecosystem
- Strong SQL and Python skills
- Experience working with cloud-based data platforms and modern data engineering best practices
- Ability to design and implement scalable, secure, and efficient data solutions
- Excellent communication skills and ability to collaborate effectively across technical and business teams
- Fluent English, both written and spoken
- Proven experience in data engineering roles with a focus on Azure and modern data stacks
Nice to Have
- Experience with infrastructure as code (IaC) – Terraform knowledge is a strong advantage
Technical Stack
- Azure Data Factory, Snowflake, Databricks
- PySpark, Spark SQL
- Azure, Terraform
- SQL, Python
Tietoevry is an equal opportunity employer.
