About the Position

We are currently not accepting applications for the position of Data Engineer in Romania.

Responsibilities

Utilize SQL Server Management Studio (SSMS), SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS) for data management and reporting.
Leverage Azure Data Factory (ADF), Logic Apps, and CI/CD practices for seamless data and process integration.
Employ Python and PySpark for complex data processing and analysis.
Work with Azure Databricks, Spark, Spark SQL, PySpark, Delta Tables, and Lakehouse architecture.
Orchestrate and transform data using Azure Data Factory pipelines.

Requirements

Strong expertise in SQL Server Management Studio (SSMS), SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and SQL Server Reporting Services (SSRS).
Solid experience with Azure Data Factory (ADF), Logic Apps, and CI/CD practices.
Proficiency in Python and PySpark.
Strong knowledge of Azure Databricks, Spark, Spark SQL, PySpark, Delta Tables, and Lakehouse architecture.
Familiarity with data orchestration and transformation pipelines.

Nice to Have

Experience with Azure Data Lake and foundational understanding of the Lakehouse paradigm.
Background in DAX for data modeling and Power BI for enhanced data insights.
Experience with Azure Fabric for integration and ADF Dataflows for streamlined data transformations.

We Offer

Access to therapy
Bookster subscription
minditNomad
Flexible hours
Friendly office space
Fun activities
Gym subscription
Learning platforms
Medicover / Sanopass subscription
Wellbeing days off
Work from anywhere

About the Company

mindit.io is an AI-driven custom software services company with over 280 IT specialists. We excel in software & product engineering, artificial intelligence, business intelligence, data analytics & integration services. With offices in Switzerland, Germany, and 4 delivery centers in Romania, we cover the entire development cycle from business research, consulting, and architecture to post-implementation testing and maintenance.

Partner of Choice

We prioritize our customers, building authentic, trust-based relationships by deeply understanding their business goals and acting in their best interest. We create long-term partnerships by combining industry know-how with cutting-edge technology.

Professional

We deliver with discipline and excellence – on time, on budget, on quality. Our highly skilled teams, strong engineering practices, and efficient processes turn complex challenges into reliable, high-impact outcomes.

Authentic

We take ownership of our work and our growth. Guided by a continuous learning mindset, we strive to become the best version of ourselves – acting with ambition, curiosity, and an extra-mile attitude in everything we do.

Team

We believe our strength lies in moving forward together. Trust, collaboration, and shared accountability enable us to achieve more than we ever could alone. By supporting one another and valuing every contribution, we create an environment where people grow, excel, and deliver real impact. We grow together, we learn together, we build together.

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Data Engineer

Job description