Senior BI Developer – Microsoft Fabric, Power BI

MultiBase GmbH

. Build, test, document and maintain data products .

Posted 9/20/2026full-timeGilching • GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining data products using Microsoft Fabric, Power BI, and Azure, with a strong focus on AI-driven solutions and agile methodologies. Proficient in SQL, DAX, and data modeling, with a commitment to quality assurance and client collaboration.

Highest-signal resume keywords

Microsoft FabricPower BI DevelopmentAzure Data FactorySQL and Dimensional Data ModelingAI-Driven Data Products

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Product DevelopmentDAX CalculationsData Pipeline CreationETL/ELT PatternsLakehouse ConceptsData Warehouse ConceptsPython for Data EngineeringGit Version ControlAgile MethodologiesLLM APIs

Soft Skills

Client CommunicationCollaborationProblem-SolvingKnowledge SharingStakeholder Engagement

Tools & Technologies

AzurePower BIDatabricksAI ToolsOpenClawClaude CodeN8nMakeAzure DevOpsHermes

Industry Keywords

Business IntelligenceData EngineeringAgile DeliveryData ProductsClient-Facing Projects

Tech Stack

Tools & technologies

AzureETLPySparkPythonSQL

About the role

Key responsibilities & impact

Build, test, document and maintain data products
Build and maintain BI and data products in Microsoft Fabric, Power BI and Azure
Deliver lakehouse, warehouse, pipeline, notebook, SQL object and reporting components
Develop Power BI semantic models, reports and DAX calculations
Translate defined business needs into technical stories and delivery steps
Discuss technical topics directly with client IT and business stakeholders
Work in structured agile delivery
Estimate work, manage stories and deliver against sprint commitments
Use AI tools to improve development, analysis, documentation and quality assurance workflows
Design and develop AI-driven data products connecting trusted client data, LLMs and defined business workflows
Identify and prototype use cases for automations, bots, copilots and agents
Turn AI prototypes into secure, documented and maintainable data products
Test, document and deploy production-ready data products
Use version control and collaborative delivery practices
Raise delivery risks, data issues and unclear requirements early with the Tech Lead and project lead
Identify improvement opportunities in client data landscapes
Contribute reusable documentation and practical knowledge to MultiBase's internal knowledge base
Report to a Tech Lead and work closely with project leads, developers and client teams

Requirements

What you’ll need

At least four years of BI or data-platform development experience, including direct work with client or business stakeholders
Strong Azure data-platform experience, including Microsoft Fabric, Azure Data Factory or Synapse
Practical experience with lakehouse and data warehouse concepts, data pipelines and notebooks
Professional Power BI capability, including semantic modeling, DAX and report development
Strong SQL and dimensional data-modeling skills, including star-schema design and ETL/ELT patterns
Experience delivering in agile teams using structured stories, estimates and sprint commitments
Experience using Git and a collaborative development workflow
Experience testing, deploying and maintaining production data products
Fluent English, written and spoken
Daily, thoughtful use of AI tools such as Claude, Cursor, Codex or equivalent; ability to verify outputs and remain accountable for quality
Hands-on experience designing, building or deploying AI-driven data products, bots, copilots or agents for real business use cases
Experience with current LLMs and small language models, including decisions about model choice, cost, latency, privacy and quality
Experience with LLM APIs, agent orchestration or automation platforms such as OpenClaw, Claude Code or Cowork, Hermes, n8n, Make or comparable tools
Experience turning LLM, SLM or agent prototypes into secure and maintainable data products
Databricks experience, especially for data engineering, lakehouse and notebook-based work
Python or PySpark for data engineering, automation or notebook workflows
German at B2 level or above for DACH client communication
Experience delivering in a client-facing project environment
Active knowledge sharing and contribution to company expertise
Active interest in market and technology developments
Azure DevOps is an advantage

Benefits

Comp & perks

Remote-first across CET/CEST or SAST-aligned time zones
Core collaboration hours are 10:00 to 16:00 CET/CEST
Occasional client visits, normally several times per year and no more than once a quarter
Developers based outside Germany attend working sessions at the MultiBase headquarters in Gilching at least twice a year
Direct access to senior management, the Tech Lead and experienced project leads
Access to current AI and development tools
Opportunity to build practical capability in LLMs, SLMs, automation and agent platforms
Long-standing client relationships with an established, trusted partner
Competitive compensation aligned with market benchmarks, based on experience and location
Growth path toward solution architecture, technical leadership, delivery leadership and development of new client offerings