Data Engineer – BI Developer

Software Mind

Data Engineer / BI Developer implementing data pipelines and analytics solutions for Software Mind's client projects. Collaborating with teams to design and optimize data workflows and Power BI reports.

Posted 6/12/2026full-timeRemote • 🇧🇮 BurundiMid-LevelSeniorWebsite

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Hard Skills

T-SQLSQLSSISETLELTDAXdata modelingdata transformationdata qualitydimensional modeling

Soft Skills

collaborationdocumentationclient-facingproblem-solvingcommunicationrequirements gatheringsolution designperformance tuningagile methodologyconsulting

Tools & Technologies

Microsoft FabricAzure Data FactoryPower BIAzure Synapse AnalyticsAzure Data Lake StorageAzure SQL DatabaseDataflows Gen2LakehouseData WarehousesAzure Databricks

Certifications & Qualifications

DP-700PL-300DP-203

Industry Keywords

data engineeringbusiness intelligencedata pipelinesdata integrityreporting solutionscloud-native solutionsstar schemasnowflake schemamachine learningSalesforce API

Tech Stack

Tools & technologies

AzureCloudETLPySparkPythonSOAPSQLSSIS

About the role

Key responsibilities & impact

Design and implement data pipelines, migrate legacy ETL workloads, and build scalable reporting and analytics solutions on the Microsoft data platform
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

Requirements

What you’ll 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
Experience with Salesforce data integrations or Salesforce API consumption (REST/SOAP) (Nice to Have)
Familiarity with Python or PySpark for data transformation within Fabric Notebooks or Azure Databricks (Nice to Have)
Exposure to machine learning workflows or Azure Machine Learning (Nice to Have)
Microsoft certifications: DP-700 (Fabric Analytics Engineer), PL-300 (Power BI Data Analyst), DP-203 (Azure Data Engineer), or equivalent (Nice to Have)

Benefits

Comp & perks

flexible work arrangements