Data Engineer - Tietoevry Create
@ Tietoevry

Espoo, Uusimaa, Finland
€90,000
On Site
Full Time
Posted 18 hours ago

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XXXXXXXXX XXXXXXXXXXXXX XXXXXXXXXX****** @tietoevry.com
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Job Details

About the Role

The Data Engineer - Tietoevry Create role involves developing cloud data platform solutions for major Finnish companies. You will work on exciting, hands-on development assignments using modern data technologies.

Key Responsibilities

  • Work with cloud environments, preferably Azure
  • Hands-on experience with Microsoft Fabric, Data Lakes, and Data Warehouses
  • Utilize SQL, Python, and data modeling methodologies
  • Collaborate with customer representatives and internal teams
  • Communicate proficiently in Finnish and English

What We Offer

You will join Tietoevry Create, a leading digital accelerator offering career growth, diverse projects, flexible work options, and competitive benefits including wellness, lunch, expert networks, and more. Project opportunities span multiple industries such as banking, insurance, retail, and public sectors.

Key Skills/Competency

  • Cloud
  • Azure
  • Microsoft Fabric
  • Data Lakes
  • Data Warehouses
  • SQL
  • Python
  • Data Modeling
  • Power BI
  • Communication
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How to Get Hired at Tietoevry

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills aligning with cloud data solutions.
  • Highlight technical expertise: Emphasize Azure, SQL, and Python experience.
  • Prepare for behavioral interviews: Practice clear communication examples.
  • Research Tietoevry: Understand their digital innovation and client portfolio.

📝 Interview Preparation Advice

Technical Preparation

Review Azure fundamentals and cloud architecture.
Practice coding in Python and SQL queries.
Study Microsoft Fabric and Data Warehouse patterns.
Experiment with Data Lakes and data modeling methods.

Behavioral Questions

Explain a challenging project experience briefly.
Describe your teamwork communication style clearly.
Discuss conflict resolution in customer interactions.
Highlight self-learning initiatives relevant to data.

Frequently Asked Questions