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Data Engineer - Tieto Tech Consulting (m/f/d)

Role overview

Qualifications

  • 2 + years of experience in Data Engineering or similar roles
  • Strong programming skills in SQL and Python/PySpark
  • Hands-on experience with Databricks and Apache Spark
  • Experience with Azure or AWS data services

Responsibilities

  • Developing scalable ETL/ELT pipelines using Databricks, Spark/PySpark, and SQL
  • Designing and implementing data lakes, lakehouse architectures, and analytics platforms
  • Integrating data from multiple enterprise systems
  • Building analytics-ready datasets supporting BI, advanced analytics, and AI workloads

Key facts

Hard skills

Other skills

  • Communication

About the company

Tieto logo

Tieto

Computer Software / SaaS

Unlocking lasting impact with software and technology consulting services.

Company details

Company typeXLarge
IndustryComputer Software / SaaS
Company size10001

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Job description

Job Description

Tieto Tech Consulting (MentorMate from 2001 to 2026) provides design-led, data-centric, and AI-powered digital engineering & consulting services to enterprises worldwide. 

We are looking for a Data Engineer with experience in Databricks and Azure to join our growing data engineering community. In this role, you will help design and implement modern data platforms, scalable data pipelines, and analytics solutions that enable organizations to make better data-driven decisions. You will work closely with data architects, BI developers, and customer stakeholders, working in an Agile environment to deliver reliable and high-quality data solutions.

Key responsibilities 

  • Developing scalable ETL/ELT pipelines using Databricks, Spark/PySpark, and SQL
  • Designing and implementing data lakes, lakehouse architectures, and analytics platforms
  • Integrating data from multiple enterprise systems
  • Building analytics-ready datasets supporting BI, advanced analytics, and AI workloads
  • Optimizing Spark workloads, data models, and pipeline performance
  • Supporting data platform modernization and migration from legacy ETL solutions
  • Working in Agile teams with architects, analysts, and customer stakeholders
  • Contributing to engineering best practices, reusable patterns, and knowledge sharing

Required experience & qualifications 

  • 2 + years of experience in Data Engineering or similar roles
  • Strong programming skills in SQL and Python/PySpark
  • Hands-on experience with Databricks and Apache Spark
  • Experience with Azure or AWS data services
  • Experience building ETL/ELT pipelines and data integration solutions
  • Understanding of data lakes, data warehouses, and data modeling
  • Experience with Git and modern development practices
  • Ability to work in Agile teams and a consulting environment
  • Excellent spoken and written English language skills

A significant advantage would be

  • Experience in banking, authoritative reporting and manufacturing domains
  • Certifications in Databricks, Azure, or AWS
  • Experience in AI agent development and architecture, including Databricks Agent Bricks and Mosaic AI
  • Experience with data platform modernization or ETL migration projects
  • Experience with Delta Lake, Snowflake, or Microsoft Fabric
  • Experience with Power BI or other analytics tools
  • Experience working in international environments​‌

Additional Information

At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity.

Diversity, equity and inclusion | Sustainability | Tieto

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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