Company Description
We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!
Project - the aim you'll have
We are seeking an experienced Data Engineer / BI Developer to join our team. In this role, you will work across active client projects to design and implement data pipelines, migrate legacy ETL workloads, and build scalable reporting and analytics solutions on the Microsoft data platform. The ideal candidate is equally comfortable writing complex T-SQL, building Power BI reports, and architecting data flows in Microsoft Fabric, and can hit the ground running on day one.
QualificationsExpectations - the experience you need
- 5+ years of experience in data engineering, BI development, or similar roles
- Expertise working with SQL, T-SQL, SSIS, etc.
- Proven experience migrating SSIS packages to cloud-native ETL/ELT solutions (Microsoft Fabric or Azure Data Factory strongly preferred)
- Strong hands-on experience with Microsoft Fabric, including Lakehouses, Data Warehouses, Pipelines, Dataflows Gen2, and Notebooks
- Proficiency with Power BI: report and dashboard development, DAX, data modeling, Power Query (M), and report publishing/workspace management
- Hands-on experience with Azure data services: Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, and/or Azure Synapse Analytics
- Solid understanding of data warehouse concepts: dimensional modeling, star/snowflake schemas, slowly changing dimensions
- Experience working in Agile/Scrum delivery environments with multiple concurrent workstreams
- Experience in a client-facing consulting or professional services environment
Nice to Have
- Experience with Salesforce data integrations or Salesforce API consumption (REST/SOAP)
- Familiarity with Python or PySpark for data transformation within Fabric Notebooks or Azure Databricks
- Exposure to machine learning workflows or Azure Machine Learning
- Microsoft certifications: DP-700 (Fabric Analytics Engineer), PL-300 (Power BI Data Analyst), DP-203 (Azure Data Engineer), or equivalent
What you will do
- Write complex, high-performance T-SQL and SQL queries for data transformation, reporting layers, and stored procedures
- Migrate legacy SSIS packages to modern Microsoft Fabric equivalents, ensuring data integrity, performance, and maintainability throughout the process
- Design, develop, and optimize ETL/ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, Warehouses) and Azure Data Services
- Build, maintain, and optimize Power BI reports and dashboards, including semantic model design, DAX measures, and data modeling best practices
- Collaborate with client stakeholders to gather requirements, document data flows, and translate business needs into scalable technical solutions
- Develop and manage data models (star schema, snowflake) within Azure Synapse Analytics, Fabric Warehouses, or SQL Server environments
- Monitor, troubleshoot, and tune pipeline performance, data quality, and query execution across production and development environments
- Participate in architecture discussions and contribute to solution design decisions for new client engagements
- Document technical designs, pipeline logic, and data definitions clearly for both technical and non-technical audiences
Skills Required
- 5+ years of experience in data engineering, BI development, or similar roles
- Expertise with SQL and T-SQL
- Experience with SSIS and migrating SSIS packages to cloud-native ETL/ELT solutions
- Hands-on experience with Microsoft Fabric (Lakehouses, Warehouses, Pipelines, Dataflows Gen2, Notebooks)
- Proficiency with Power BI including DAX, data modeling, Power Query (M), and report publishing/workspace management
- Hands-on experience with Azure data services: Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, and/or Azure Synapse Analytics
- Solid understanding of data warehouse concepts: dimensional modeling, star/snowflake schemas, slowly changing dimensions
- Experience working in Agile/Scrum delivery environments with multiple concurrent workstreams
- Experience in a client-facing consulting or professional services environment
- Experience with Salesforce data integrations or Salesforce API consumption (REST/SOAP)
- Familiarity with Python or PySpark for data transformation within Fabric Notebooks or Azure Databricks
- Exposure to machine learning workflows or Azure Machine Learning
- Microsoft certifications such as DP-700, PL-300, DP-203 or equivalent
Software Mind Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Software Mind and has not been reviewed or approved by Software Mind.
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Fair & Transparent Compensation — Pay is considered competitive for core hiring markets, with “good salary” cited in multiple locales. Public salary snapshots provide a baseline that helps candidates assess offers and negotiations.
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Flexible Benefits — Remote or hybrid options are prominently highlighted, and a remote‑work program is publicly noted alongside positively cited work‑from‑home experiences. Flexibility around schedules and location is presented as part of the package.
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Wellbeing & Lifestyle Benefits — Private medical care, language classes, sports/fitness support, and learning initiatives are listed for several Central/Eastern European locations, with occasional workation perks promoted. These lifestyle‑oriented offerings complement base pay and can enhance perceived total rewards.
Software Mind Insights
What We Do
Software Mind is a global digital transformation partner with operations throughout Europe, the US and LATAM. Driven by tech and empowered by people, we provide companies with software engineers and autonomous, cross-functional development teams who manage software life cycles from ideation to release and beyond. For over 20 years we’ve been enriching organizations with the talent they need to boost scalability, drive dynamic growth and bring disruptive ideas to life. Our top-notch engineering teams combine ownership with leading technologies, including cloud, AI, data science and embedded software to accelerate digital transformations and boost software delivery. A culture, driven by trust, that embraces openness, craves more and acts with respect enables our experts to create evolutive solutions that support scale-ups, unicorns and enterprise-level companies around the world.
