A part of global technology organization Tieto, MentorMate creates durable technical solutions that deliver digital transformation at scale by blending strategic insights and thoughtful design with brilliant engineering. With mature and established practices in enterprise web and mobile development, quality engineering, technical architecture, human-centered design, cloud, DevOps, data, and analytics, the company provides its people with the opportunity to work on impactful, global projects for recognizable brands.
We are looking for a** Data Engineer** with experience in data cleansing, transformation, and ETL/ELT processes, and growing expertise in Microsoft Fabric and modern data platforms. 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.
**Responsibilities **
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Developing and maintaining ETL/ELT pipelines using SQL, Spark/PySpark, and Microsoft Fabric and/or Databricks
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Implementing data cleansing, validation, and transformation logic
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Building and maintaining medallion/lakehouse architectures using Microsoft Fabric or Delta Lake
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Integrating data from multiple enterprise systems
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Preparing analytics-ready datasets for BI reporting and downstream use cases
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Optimizing performance of pipelines, transformations, and data models
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Supporting data platform modernization and migration from legacy ETL solutions
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Working in Agile teams with architects, analysts, and customer stakeholders
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Contributing to engineering best practices, reusable patterns, and knowledge sharing
**Requirements **
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2+ years of experience in Data Engineering or similar roles
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Strong programming skills in SQL and Python/PySpark
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Familiarity with Microsoft Fabric, Databricks, or similar data platform
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Experience with Azure or AWS data services
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Experience building ETL/ELT pipelines and data integration solutions
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Understanding of data lakes, data warehouses, and data modeling
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Experience with Git and modern development practices
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Ability to work in Agile teams and a consulting environment
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Excellent spoken and written English language skills
**A significant advantage would be **
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Hands-on experience with Microsoft Fabric, Databricks, Delta Lake, Snowflake
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Experience with data platform modernization or ETL migration projects
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Experience with Power BI or other analytics tools
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Familiarity with Delta Lake or similar storage formats
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Experience working in international environments
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Azure or Databricks certifications