Data Engineer

🔥 7 minutes ago

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Tieto

WebsiteLinkedInAll Job Openings

10,000+ employees

💼 Consulting

☁️ SaaS

🤖 Artificial Intelligence

Consulting • SaaS • Artificial Intelligence

Tieto is a Nordic IT services and software company that helps organizations turn ideas into results by providing AI and data solutions, software products, cloud and software development, and design and consulting services. It serves multiple verticals — including banking (Tieto Banktech), healthcare (Tieto Caretech), industrial/manufacturing (Tieto Indtech), telecom, public sector, energy and paper and fibre — and emphasizes AI, cloud and digital transformation for enterprise customers.

📋 Description

• 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 • Design and implement scalable, secure, and efficient data solutions

🎯 Requirements

• Strong hands-on experience with Azure Data Factory for data integration, orchestration, and pipeline development • Deep understanding of Snowflake, including 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; 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 across technical and business teams • Fluent English, written and spoken • Proven experience in data engineering roles focused on Azure and modern data stacks

🏖️ Benefits

• Remote work option • Hybrid work arrangement • Diversity, equity, and inclusion commitment