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Azure Synapse Analytics Experts in Berlin

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Hire experts who unify SQL analytics, Apache Spark processing and Azure Data Lake workflows with Azure Synapse Analytics. Work with specialists who can shape data platforms, optimize pipelines and support Power BI reporting, matched quickly with vetted, available freelancers.

Meet FRATCH Experts in Berlin, who have recently used Azure Synapse Analytics

Verified expert

Jan K.

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Data Expert

Berlin
Jan K.

Last position:

Data Expert at Manufacturing

Verified expert

Tobias L.

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Data Engineer

Berlin
Tobias L.

Last position:

Data Engineer at unitb consulting GmbH

Responsibilities: Design and operation of end-to-end cloud data platforms for enterprise clients in publishing and finance, including infrastructure automation, pipeline development, monitoring, and data quality.

Activities:

  • Built multi-layer data architectures on Databricks (Apache Spark, Delta Lake), BigQuery, and GCP
  • Fully automated cloud infrastructure with Terraform across 3 environments (DEV/STG/PRD)
  • Developed automated data pipelines with Python, dbt, and GCP services for various data sources
  • Built monitoring and alerting systems for real-time platform monitoring
  • Implemented data versioning and quality checks at every layer
  • Designed automated testing and deployment pipelines in GitLab and Bitbucket

Achievements:

  • Doubled production data processing capacity, reduced spike response time from minutes to ≤15 s, server errors ≈ 0
  • Replaced 3,000 lines of manual configuration with a reusable automation module for 7 customer domains, reducing configuration errors to 0
  • Delivered a complete end-to-end data platform at ~10 €/month in infrastructure costs
  • Migrated 7 database tables with 0 downstream issues
  • Removed 100 % of exposed credentials, eliminating dependency on external vendors
  • Delivered 3-team integration in 1 sprint
Verified expert

Mohamed G.

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Founder & CEO

Berlin
Mohamed G.

Last position:

Lead / Principal Cloud, AI & Security Architect at Freelancer / CC Conceptualise GmbH

Projects:

Project: RWE – Development of a company-wide Zero Trust cybersecurity architecture (CITADEL) Role: Senior Enterprise Cybersecurity Architect / Zero Trust Architect Company: RWE AG Description: Concept and implementation of the strategic CITADEL cybersecurity target architecture at RWE, based on the Zero Trust architecture principle and aligned with regulatory requirements such as NIS2, ISO 27001 and company-wide security governance policies. The goal was to build a measurable, auditable and scalable security architecture with a strong focus on Identity Governance, compliance transparency and operational manageability. Responsibilities & Achievements:

  • Zero Trust architecture design: Developed a company-wide Zero Trust reference architecture (Identity, Device, Network, Application, Data) including trust zones, control points and enforcement mechanisms according to NIS2.
  • Identity & Access Governance (IGA): Designed and introduced IGA governance structures including role models, recertification processes, segregation of duties (SoD) and lifecycle management for identities and access.
  • Security governance & KPIs: Defined and implemented security KPIs and metrics to manage Zero Trust maturity, identity risks and compliance at the management level.
  • Compliance & reporting: Built standardized compliance reports and dashboards to support internal audits, external assessments and regulatory evidence (e.g. NIS2).
  • Architecture & stakeholder alignment: Worked closely with Enterprise Architecture, IT operations and business units to integrate the CITADEL architecture into existing IT and security landscapes.
  • Strategic security consulting: Advised programs and projects on Zero Trust compliance, identity centricity and regulatory requirements in the energy and critical infrastructure (KRITIS) environment. Technologies & Methods: Zero Trust Architecture, NIS2, Identity Governance & Administration (IGA), IAM, RBAC, SoD, Entra ID, SailPoint, Zscaler, Terraform / IaC, Policy as Code, security KPIs, compliance reporting, NIST 2.0, ISO 27001, Enterprise Security Architecture, governance frameworks, risk & control management

Project: Scalable AI Workbench Platform on Microsoft Azure Role: Cloud Architect & Engineer Company: Siemens Energy Description: Design, development and operation of a secure, modular cloud infrastructure to support Data Science, Machine Learning and AI applications for various engineering teams at Siemens Energy. Responsibilities & Achievements:

  • Cloud architecture: Designed and implemented an Infrastructure-as-Code solution (Terraform) for automated provisioning of Azure resources (Resource Groups, Storage Accounts, Cosmos DB, Application Insights, networking, PostgreSQL Flexible Server, Azure Container Apps, Azure Container Registry).
  • Developer portal: Used Backstage with custom frontend and backend plugins (Node.js, TypeScript, React.js, PostgreSQL, Container Apps) to enable self-service and empower developers, data scientists and AI/ML engineers.
  • Role-based access control: Implemented Azure RBAC to grant targeted access (e.g. Storage Blob Data Contributor, Reader) to engineering groups (e.g. AI Engineers) for relevant resources.
  • Data platform engineering: Built and configured a multi-layered storage landscape (Raw, Curated, Vector data), including automated container creation and access control for advanced analytics and AI workloads.
  • DevOps integration: Integrated with Azure DevOps for CI/CD pipelines to automate deployment, monitoring and compliance.
  • Security & compliance: Implemented Private Endpoints, network policies and Managed Identities to ensure data protection and regulatory compliance.
  • Collaboration: Worked closely with cross-functional teams to align the cloud infrastructure with business and technical requirements and drive digital transformation at Siemens Energy. Technologies: Azure, Terraform, Azure DevOps, Cosmos DB, Application Insights, Azure Storage, Private Endpoints, Azure Synapse, Azure Machine Learning, Azure Entra ID, RBAC, Backstage, Node.js, React.js, PostgreSQL, Python (automation), Git
Verified expert

Tarek S.

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Cloud Engineering

Berlin
Tarek S.

Last position:

Cloud Engineering at Freelancer

  • Development, operation and support of BI platforms and microservice architectures
  • Development of an open-source BI scheduling tool

Discover over 15,000 top freelancers

Statistics of experts using Azure Synapse Analytics

Aggregated from the professional profiles of matched freelancers.

Experience

13 years (Germany: 17 years)

Azure Synapse Analytics experts in Berlin have 13 years of professional experience on average. It is 4 years less than in Germany, where the average stands at 17 years.

Position duration

2.2 years

Azure Synapse Analytics experts in Berlin stay in a single position for 2.2 years on average.

Positions per freelancer

8 (Germany: 11)

Azure Synapse Analytics experts in Berlin have completed 8 positions on average over the course of their careers. It is 3 fewer than in Germany, where the average stands at 11.

Top business areas

Information Technology, Business Intelligence, Product Development

Azure Synapse Analytics experts in Berlin have gathered most of their hands-on project experience in Information Technology, Business Intelligence, and Product Development.

Top industries

Information Technology, Banking and Finance, Energy

Azure Synapse Analytics experts in Berlin are most in demand in Information Technology, Banking and Finance, and Energy.

Certification focus areas

Information Technology, Business Intelligence, Marketing

Azure Synapse Analytics experts in Berlin earn their certifications most often in Information Technology, Business Intelligence, and Marketing.

Bachelor's degree or higher

100% (Germany: 96%)

100% of Azure Synapse Analytics experts in Berlin hold at least a Bachelor's degree. It is 4% higher than in Germany, where the rate stands at 96%.

Master's degree or higher

80% (Germany: 67%)

80% of Azure Synapse Analytics experts in Berlin hold at least a Master's degree. It is 13% higher than in Germany, where the rate stands at 67%.

Certifications per freelancer

6 (Germany: 5)

Azure Synapse Analytics experts in Berlin hold 6 professional certifications on average. It is 1 more than in Germany, where the average stands at 5.

Most common languages

German, English, French

Azure Synapse Analytics experts in Berlin most often speak German, English, and French.

Speak two or more languages

100% (Germany: 97%)

100% of Azure Synapse Analytics experts in Berlin speak two or more languages. It is 3% higher than in Germany, where the rate stands at 97%.

Based on our profile pool as of 16 Oct 2026.

Daily rate distribution

0% 25% 50% 75% 100%
17% of Azure Synapse Analytics experts in Berlin charge less than €640 per day.
17% of Azure Synapse Analytics experts in Berlin charge between €640 and €800 per day.
17% of Azure Synapse Analytics experts in Berlin charge between €800 and €960 per day.
33% of Azure Synapse Analytics experts in Berlin charge between €960 and €1120 per day.
17% of Azure Synapse Analytics experts in Berlin charge €1120 or more per day.
<€640 €640-​800 €800-​960 €960-​1120 €1120+

The chart shows how the daily rates of experts in this technology in Berlin are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows the share of experts charging within that range.

Average rates of experts in Berlin using Azure Synapse Analytics

Rates are based on recent contracts and do not include FRATCH margin.

1000
750
500
250
Rate comparison chart
Daily rate avg. 847 €
Germany avg. 811 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000
750
500
250
Rate comparison chart
Median rate 880 €
Germany median 800 €

The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.

Calculated based on our freelancers’ daily rates as of 16 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.

Azure Synapse Analytics experts industry focus

See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.

  • Information Technology (83%)
  • Banking and Finance (67%)
  • Energy (50%)
  • Manufacturing (50%)
  • Automotive (33%)
  • Media and Entertainment (33%)
  • Pharmaceutical (33%)
  • Professional Services (33%)

Please note that freelancers can work across multiple industries, so percentages overlap.

About the technology

Unified analytics in Azure

Azure Synapse Analytics combines enterprise SQL, Apache Spark, data integration and analytics management in one Azure service. Companies use it to query warehouse and lake data, transform large datasets and prepare trusted information for reporting, forecasting and operational decisions.

Core workloads

The service supports dedicated SQL pools for predictable warehouse performance and serverless SQL for querying data without provisioning a warehouse. Spark pools handle data engineering and exploration, while Synapse pipelines orchestrate ingestion from business systems, files, APIs and cloud storage.

  • Build lakehouse and enterprise warehouse patterns
  • Create ELT pipelines and reusable data flows
  • Prepare curated datasets for Power BI
  • Query files in Azure Data Lake Storage

Azure ecosystem

Strong work with Synapse connects the service to Azure Data Lake Storage Gen2, Azure Data Factory, Microsoft Entra ID, Key Vault and Power BI. Specialists may also use Azure DevOps or GitHub for version control, CI/CD and environment promotion, alongside Spark, Python, SQL and Delta Lake practices.

When expertise matters

Companies often bring in freelance expertise when a data platform needs a clear target architecture, a migration from an older warehouse or better control of pipeline reliability and cloud spend. Berlin teams can combine on-site workshops with remote delivery, while shared documentation and clear communication support distributed collaboration.

  • Modernize SQL Server or cloud warehouse workloads
  • Resolve slow queries and unreliable orchestration
  • Establish access, lineage and deployment controls
  • Connect operational data with analytics models

What strong specialists deliver

Effective professionals understand both the data model and the Azure operating environment. They separate storage, transformation and serving layers, select SQL or Spark for the right workload, design incremental processing, and make monitoring part of the solution rather than an afterthought.

Evaluating project fit

A useful brief defines source systems, data volumes, refresh expectations, security boundaries and reporting outcomes. Reviewers should ask for examples of Synapse work that include production monitoring, failure handling, performance tuning and documented handover, not just notebooks or isolated queries.

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Frequently asked questions

Curious about Azure Synapse Analytics? Here are the answers that come up again and again.

Azure Synapse Analytics is used to build cloud data warehouses, lakehouse solutions and analytics pipelines on Microsoft Azure. It supports SQL querying, Apache Spark processing, data integration and preparation of datasets for tools such as Power BI.

Azure Synapse Analytics offers an integrated Azure environment that combines SQL warehousing, Spark and pipeline orchestration. Databricks is often preferred for intensive collaborative data engineering and machine learning, while Synapse can be a strong fit when Microsoft identity, storage, reporting and governance are central.

A strong Azure Synapse Analytics specialist usually works with SQL, Python, Apache Spark, Azure Data Lake Storage Gen2 and data integration patterns. Knowledge of Power BI, Microsoft Entra ID, Key Vault, Azure DevOps and dimensional modeling is also valuable.

Azure Synapse Analytics work can range from a focused pipeline or query optimization task to a broad platform migration. The right level of experience depends on data complexity, security requirements, integration scope and whether the specialist must own production operations as well as implementation.

Azure Synapse Analytics projects are well suited to remote collaboration because development, documentation and deployment can be managed in shared Azure and Git workflows. Berlin teams may still benefit from on-site discovery sessions, especially when source-system owners and reporting stakeholders need to align.

Ask an Azure Synapse Analytics specialist to explain the choices behind storage layers, SQL pools, Spark workloads, orchestration and security. Good evidence includes tested deployments, monitoring, recovery procedures, cost controls and clear documentation for the team taking over the platform.

Azure Synapse Analytics can reduce integration effort when a company already relies on Azure storage, identity and Microsoft reporting tools. A separate stack may be preferable when a team needs highly specialized processing, broader cloud portability or capabilities outside Synapse's managed service model.

Azure Synapse Analytics engagements often involve more than writing SQL or Spark code. Specialists should clarify data ownership, deployment environments, network access, compliance expectations, source-system behavior, service limits and who will operate pipelines after delivery.

The average hourly rate of freelancers in Berlin, Germany who have used Azure Synapse Analytics in their recent projects is 106 €, which corresponds to a daily rate of about 847 € based on an 8-hour working day.

Of the freelancers in Berlin, Germany who have used Azure Synapse Analytics in their recent projects, 100% hold at least a Bachelor's degree and 80% hold at least a Master's degree.

On average, freelancers in Berlin, Germany who have used Azure Synapse Analytics in their recent projects have 13 years of professional experience, with a single engagement typically lasting around 2.2 years.

The most common languages among freelancers in Berlin, Germany who have used Azure Synapse Analytics in their recent projects are German (100%), English (100%), and French (33%).

The most common industries among freelancers in Berlin, Germany who have used Azure Synapse Analytics in their recent projects are Information Technology (83%), Banking and Finance (67%), and Energy (50%).

The most common business areas among freelancers in Berlin, Germany who have used Azure Synapse Analytics in their recent projects are Information Technology (100%), Business Intelligence (83%), and Product Development (67%).

Main locations of FRATCH Experts, who have recently used Azure Synapse Analytics

Our freelancers and interim experts are at home across the DACH region — available on-site in the major business hubs or fully remote. Choose a location to discover matched specialists, local market insights and up-to-date availability.

Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg

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