
Azure Synapse Analytics Experts in Berlin
with precise AI matching, vetted availability and access to over 15,000 CVsHire 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
Alexander Z.
Last position:
Senior Data Solutions Engineer at VMware Inc.
- Architected and deployed private cloud data platform on VMware vSphere, integrating Greenplum MPP, Apache Kafka, Kubernetes, and Apache Solr, and developed real-time ingestion pipelines with Kafka Connect and Schema Registry.
- Led Oracle Exadata to Greenplum migration, rearchitected data models, optimized storage, implemented RabbitMQ with Debezium for CDC, and deployed VectorDB for Generative AI.
- Designed and executed multi-cloud migration PoC across AWS, Azure, and GCP, defined KPIs for throughput, latency, and cost efficiency, executed bulk data transfers, validated analytics and streaming workloads, and delivered full-scale architecture recommendations.
- Assessed legacy on-premises infrastructure and designed modern cloud-native data platforms using Greenplum and containerized microservices, advising on scalability, disaster recovery, and high-availability.
Jan K.
Last position:
Data Expert at Manufacturing
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
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
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
Mirage F.
Last position:
Power BI Developer | BI Analyst | Dashboard Development | ETL & Reporting Automation at Analysis of Renewable Energy in Germany
As a Senior Business Intelligence Analyst at Berliner Verkehrsbetriebe (BVG), I lead Power BI development initiatives and act as a key interface between business stakeholders, Product Owners, and Data Engineering teams. I translate business requirements into scalable data models, clearly defined KPIs, and management dashboards that support data-driven decision-making.
My responsibilities include integrating and analyzing sales, subscription, CRM, and transaction data, as well as validating data sources and metrics for consistency, accuracy, and business relevance. I also contribute to the migration of analytical workloads from Azure Synapse to Databricks SQL, helping improve the reliability and scalability of the reporting environment.
By combining strong technical expertise in Power BI, SQL, DAX, Power Query, and Python with a business-focused approach, I help turn complex requirements into transparent, maintainable, and actionable analytics solutions.
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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)

Position duration
2.2 years

Positions per freelancer
8 (Germany: 11)

Top business areas
Information Technology, Business Intelligence, Product Development

Top industries
Information Technology, Banking and Finance, Energy

Certification focus areas
Information Technology, Business Intelligence, Marketing
Bachelor's degree or higher
100% (Germany: 96%)
Master's degree or higher
80% (Germany: 67%)

Certifications per freelancer
6 (Germany: 5)

Most common languages
German, English, French

Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 16 Oct 2026.
Daily rate distribution
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.
The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
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.
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.
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