Senior Data Engineer – Tieto Tech Consulting
Tietoevry
full-time
Posted on:
Location Type: Remote
Location: Czech
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Job Level
About the role
- 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
Requirements
- 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.
- Experience with infrastructure as code (IaC) – Terraform knowledge is a strong advantage.
- 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.
Benefits
- Diversity, equity and inclusion
- Commitment to openness and trust
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Azure Data FactorySnowflakeDatabricksPySparkSpark SQLSQLPythonETLELTTerraform
Soft Skills
communicationcollaboration