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Hire Microsoft Fabric Developers for Lakehouses, Pipelines and Power BI
Pre-vetted Microsoft Fabric and Azure data engineers for OneLake, Lakehouse, Warehouse and Power BI, ready to join your team within 48 hours.
Stack we work in
Microsoft Fabric- OneLake
- Fabric Data Factory
- Dataflow Gen2
- PySpark
- Eventstream
- Direct Lake
Power BI
- Projects delivered
- 680+
- Clients served
- 310+
- Client retention
- 98%
- Certified engineers
- 20+
- Building since
- 2018
Figures as of Oct 2026
Trusted by
- Aralia
- Rosa Pistrina
- Lashbo
- Micromunchi
- Payroll Ninja
- POD
- Petdx
- Yokey
- Spin Up
- Starwear
- Udlins
- Vegpal
- Wander Wings
- Wish It
- Wisl
Why teams hire Microsoft Fabric developers from us
Our Microsoft Fabric developers build and run data platforms on OneLake.
Read the full overview
They set up lakehouses and warehouses, write Data Factory pipelines and PySpark notebooks, and connect Power BI through Direct Lake. They also work with Azure Data Factory, Synapse and ADLS Gen2 when your platform spans both. They work in your workspaces, repositories and time zone, and you start with a 15-day free trial.
Fabric skills are new and scarce
Fabric is a young platform, so few engineers have real project experience with it, and a permanent hire can take months.
Too many Fabric workloads to cover
Lakehouse, Warehouse, Data Factory, Real-Time Intelligence and Power BI each need hands-on knowledge that one in-house generalist rarely has.
A move off Synapse or on-premises SQL Server
Migrating existing pipelines and reports needs extra engineers for a fixed period, not permanent headcount.
Capacity bills that keep growing
Unplanned notebooks, refreshes and queries use up capacity, and nobody has time to find and fix the heaviest jobs.
Outcomes
What you get
- Fabric developers contributing to your workspaces within days, not months
- One OneLake copy of your data feeding pipelines, notebooks and Power BI
- Fabric, Azure and Power BI skills without a long recruitment cycle
- A team you scale up or down as your roadmap changes
- Code, workspaces and data that you own, with no lock-in
Roles, projects and skills
Microsoft Fabric developer roles you can hire
Pick one profile or combine several. Each developer works in your tools, repositories and process.
Fabric data engineer
Builds the pipelines and lakehouse tables your reporting depends on.
- Fabric Data Factory and Dataflow Gen2
- PySpark notebooks
- Lakehouse Delta tables
- Medallion architecture
Fabric warehouse developer
Models data in Fabric Warehouse for SQL users and reports.
- T-SQL and stored procedures
- Dimensional models
- Cross-database queries
- Performance tuning
Real-time analytics engineer
Builds streaming feeds for data that cannot wait for a batch load.
- Eventstream
- Eventhouse and KQL databases
- Real-Time dashboards
- Alerts with Activator
Power BI and semantic model developer
Connects reports to Fabric data and keeps models fast and secure.
- Direct Lake semantic models
- DAX measures
- Row-level security
- Report and dashboard builds
Azure data engineer
Works on the Azure services that sit around or before Fabric.
- Azure Data Factory
- Azure Synapse Analytics
- ADLS Gen2 and Azure SQL
- Microsoft Purview
What our Microsoft Fabric developers work on
New Fabric data platform
OneLake, lakehouses, warehouse, pipelines and Power BI set up from scratch, with workspaces and access planned up front.
Migration to Fabric
Moving from Azure Synapse, Azure Data Factory or on-premises SQL Server, with reconciled data at each step.
Power BI on Direct Lake
Rebuilding import-mode models on Direct Lake so reports read OneLake tables without scheduled refreshes.
Real-time dashboards
Eventstream and KQL feeds for live operational dashboards and alerts.
Release process for Fabric
Git integration, deployment pipelines and separate dev, test and production workspaces.
Capacity and cost tuning
Finding heavy jobs and queries, and rescheduling or rewriting them to fit your capacity.
Ingestion and pipelines
Getting data into OneLake on schedule.
- Fabric Data Factory pipelines and Dataflow Gen2
- Azure Data Factory and Synapse pipelines
- OneLake shortcuts and mirroring
- Incremental loads from databases, files and APIs
Built with
- OneLake
- Fabric Data Factory
- Dataflow Gen2
Azure Data Factory
Lakehouse and warehouse
Storing and shaping data for analytics.
- Fabric Lakehouse with Delta tables
- Fabric Warehouse and T-SQL
- PySpark and Spark SQL notebooks
- Medallion (bronze, silver, gold) layers
Built with
- Fabric Lakehouse
- Fabric Warehouse
- PySpark
- Spark SQL
T-SQL
Real-time and reporting
Serving data to people and apps.
- Eventstream and Real-Time Intelligence
- KQL databases and queries
- Power BI semantic models with Direct Lake
- Row-level security and workspace roles
Built with
- Eventstream
- Real-Time Intelligence
- KQL
- Direct Lake
- Power BI
Governance and operations
Keeping the platform tidy and repeatable.
- Git integration and deployment pipelines
- Microsoft Purview and sensitivity labels
- Capacity monitoring and cost control
- Data quality checks and run alerts
Built with
- Microsoft Purview
- Git integration
- Deployment pipelines
How hiring works
Tech consulting
We review your requirements, platform and goals, and recommend the Microsoft Fabric developer roles and seniority your project needs.
You receive Role and skills plan
Shortlisting
We shortlist pre-vetted Microsoft Fabric developers who passed our technical evaluation, communication check and team-fit review, and who match your stack and time zone.
You receive Developer profiles
Your interviews
You interview the shortlisted developers and choose. Nothing starts until you are happy.
You receive Your chosen developers
Onboarding and free trial
Your developers join your tools, repositories and ceremonies within 48 hours of selection. The first 15 days are a free trial.
You receive Developers working in your workflow
Delivery and reporting
The team delivers in agile sprints with daily progress reports, and you scale the team up or down as needs change.
You receive Daily reports and sprint releases
Tech stack
Technologies we use
Data platforms
- Microsoft Fabric
- OneLake
- Fabric Lakehouse
- Fabric Warehouse
- Fabric Data Factory
- Fabric Notebooks
- Delta Lake
- Azure Synapse Analytics
- Azure Data Lake Storage Gen2
- Microsoft Purview
Pipelines and orchestration
- PySpark
- Spark SQL
- Eventstream
- Azure Data Factory
Databases
- SQL Server
BI and analytics
- KQL
- Power BI
- DAX
Languages
Cloud and DevOps
- Azure SQL Database
- Azure DevOps
- GitHub
Other tools
- Dataflow Gen2
- Real-Time Intelligence
- Direct Lake
- T-SQL
- Git integration
- Deployment pipelines
Hiring models
Choose how you hire
Pick the commitment that fits your roadmap and change it as your needs change. Every model works in your time zone, with clear pricing agreed after a call and no hidden costs.
Full-time dedicated developer
A Microsoft Fabric developer who works only on your project, full working days, as part of your team. Billed monthly, with a 15-day free trial.
Part-time developer
Half-day availability for steady Microsoft Fabric work that does not need a full seat. Billed monthly, and you can move to full-time at any time.
Hourly
Pay for the hours used, for fixes, audits, small enhancements and short spikes of work. Hours are reported daily, with no long-term commitment.
Project-based engagement
A fixed scope, timeline and price, delivered by a team we manage end to end, with milestone payments.
Dedicated team
A cross-functional squad of developers, QA, a designer and a project manager or scrum master, sized to your roadmap, with one point of contact.
More roles
Need other skills on the same team?
Hire data, AI, web and mobile developers alongside your Microsoft Fabric developers, or build a dedicated team around your roadmap.
Free trial
Try first, decide later with a 15-day free trial
Interview the shortlisted developers, then judge the work in your real project for 15 days before you commit.
Questions, answered
It depends on the seniority, the platforms involved and the hiring model: full-time, part-time, hourly or project-based. After a short call we share profiles and a clear monthly or hourly rate, with no hidden costs, and the first 15 days are a free trial. As a guide, our data and MLOps engineers range from $30 to $70 per hour (USD), depending on seniority and certifications, and full-time monthly engagements cost less per hour than hourly work. We confirm your exact rate after a short call.
It depends on the role, seniority and hiring model. Full-time and part-time developers are billed monthly, hourly work is billed for the hours used, and project-based work is paid in milestones. After a short call we share developer profiles and a clear monthly or hourly rate, with no hidden costs.
Pre-vetted developers can join your team within 48 hours of you selecting them.
Yes. We align developers to your preferred time zone and working hours so you can collaborate in real time.
The first 15 days are free. Use them to assess the developer's skills, code quality, communication, delivery and fit with your process. If you are satisfied, you continue; if not, you can stop with no obligation.
We sign an NDA, use data encryption, secure storage and regular security audits, and follow GDPR requirements. Equitysoft is ISO 27001 certified. You own all code, data and IP, with no lock-in.
Tell us and we will replace them quickly, so your project stays on track.
You set the priorities and direct the work, just as you would with your own staff. You get daily progress reports and talk to the developer through your usual email, video, chat and project tools. We take care of employment, equipment, attendance, performance support and replacements.
Each candidate passes a technical evaluation with practical tasks and code review on the stack you need, such as Fabric pipelines, PySpark notebooks, T-SQL, Power BI semantic models or Azure Data Factory, not just a CV. We also check spoken and written English, how clearly they explain technical decisions, and their experience with agile ceremonies, code review and documentation. You then interview the shortlist and choose.
Yes. They map your existing pipelines, notebooks and SQL pools, move them to Fabric in stages, and compare row counts and report figures before each workload switches over. Parts that work well in Azure can stay there and be read through OneLake shortcuts.
They build the semantic models Power BI reads, including Direct Lake models, measures and row-level security. If you also need report design, you can add a Power BI developer to the same team.
Yes. They use the capacity metrics to find the heaviest pipelines, notebooks and queries, then reschedule, rewrite or resize them so the work fits the capacity you pay for.
Tell us about the Microsoft Fabric developer you need
Share your platform, sources and timeline. We will propose pre-vetted Fabric developers you can start trialing within 48 hours.