Find the right Microsoft Certified: Azure Data Engineer Associate (DP-203) expert in Germany in minutes from 15,000 CVs with the power of AI.
Look for freelancers who can design Azure data pipelines, build secure storage and transformation layers, and support analytics-ready platforms. Get fast, precise matching with vetted professionals holding the Azure Data Engineer Associate certification.
About the certification
What it proves
Microsoft Certified: Azure Data Engineer Associate, also known as Azure Data Engineer Associate or DP-203, shows that a freelancer can work with data on Azure across ingestion, transformation, storage, and serving layers. It is a strong signal for people who turn raw data into reliable pipelines and analytics-ready datasets.
Core skills
- Design and build data ingestion flows in Azure
- Transform and prepare data for reporting and analysis
- Work with batch and streaming data patterns
- Secure, monitor, and troubleshoot data solutions
- Use Azure data services in an integrated architecture
Typical profile
Holders often come from data engineering, analytics engineering, cloud data platform work, or backend roles that moved toward data pipelines. They are usually comfortable with solution design, operational reliability, and collaboration with analysts, architects, and application teams.
When to hire one
Engage an Azure Data Engineer Associate freelancer when you need a data platform that is built for scale, repeatable loading, and clean downstream use. In Germany, this is especially relevant for companies working with Azure-based reporting stacks, migration projects, and modern data platform builds that need remote collaboration or occasional on-site alignment.
Knowledge areas
- Azure storage and data processing services
- Data orchestration and pipeline design
- Data modeling for analytics use cases
- Security, governance, and access control basics
- Performance tuning and operational monitoring
What it means for your project
A freelancer with this certification is a practical choice for building or improving a cloud data foundation. The credential suggests hands-on Azure data work, not only theory. For companies in Germany, it can help narrow the field when they need a professional who can speak both data and cloud clearly and deliver in a structured way.
Meet FRATCH Microsoft Certified: Azure Data Engineer Associate (DP-203)
Ajay Kumar Deekonda
Senior BI and Analytics Engineer
Last position:
Senior BI and Analytics Engineer at Novartis
- Led enterprise reporting modernization by migrating legacy SSRS reporting solutions to Power BI, supporting 500+ business users while ensuring full GDPR/DSGVO compliance.
- Designed and optimized Power BI and Microsoft Fabric semantic models using star schema, dimensional modeling, advanced DAX, and performance optimization techniques, reducing query latency by 25%.
- Delivered 20+ executive and operational dashboards featuring KPI scorecards, drill-through, bookmarks, and row-level security, improving reporting efficiency by 20%.
- Enabled self-service analytics through governed Power BI datasets, dataflows, and gateway architecture, increasing business-led reporting adoption by 35%.
- Configured an incremental refresh policy and query folding for a 50+ million row sales dataset, reducing daily report refresh times by 85%.
- Deployed automated ETL/ELT pipelines using Azure Data Factory, Microsoft Fabric, and Snowflake, reducing reporting delivery timelines by 40% through workflow automation.
- Spearheaded Microsoft Fabric analytics modernization initiatives including lakehouse architecture, OneLake integration, and centralized data platform development, reducing data latency from 2 hours to 20 minutes.
- Translated business requirements from 15+ stakeholders into scalable Power BI semantic models and dashboards, improving reporting consistency and reducing ad-hoc reporting requests by 25%.
- Applied Microsoft Copilot and generative AI tools to accelerate SQL development, DAX authoring, technical documentation, and testing activities, reducing development effort by approximately 15 hours per week.
Tobias Lewen
Data Engineer
Last position:
Data Engineer at unitb consulting GmbH
Tasks: 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 different data sources
- Built monitoring and alerting systems for real-time platform monitoring
- Implemented data versioning and quality checks at every layer
- Designed automated test and deployment pipelines in GitLab and Bitbucket
Achievements:
- 2× 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, configuration errors to 0
- Delivered a complete end-to-end data platform at ~€10/month infrastructure cost
- Migrated 7 database tables with 0 downstream issues
- Removed 100% exposed credentials, eliminated external vendor dependency
- Delivered integration of 3 teams in 1 sprint
Alexander Bromberg
Senior Data Engineer
Last position:
Senior Data Engineer at RWE AG
Architected and maintained data products for renewable energy operations, covering wind turbine, grid-meter, and weather data. Built scalable ETL/ELT pipelines in Azure Databricks using Delta Lake (bronze/silver/gold layers) and processed data in various formats, including structured and semi-structured data. Contributed to a data quality framework supporting table and column documentation, outlier detection, and completeness metrics across all datasets within a data product. In addition, implemented a DORA KPI Databricks dashboard used across all data products. Optimized CI/CD processes in Azure DevOps to streamline deployment across development, test, and production environments.
Technology stack: Azure Databricks, PySpark, SQL, Delta Lake, Unity Catalog, Azure Data Lake, APIs, Dremio, Azure DevOps, YAML, Git, Databricks Workflows, Application Insights, Terraform, OpenAI API, Codex, LLM-assisted workflows
Ashkan Zadeh
Microsoft Azure Senior Data Engineer / Senior Data Scientist
Last position:
Microsoft Azure Senior Data Engineer / Senior Data Scientist at Vattenfall Europe
- Advising on the use of analytics and BI tools and services in the Microsoft Azure stack (e.g. MS Fabric, Synapse Workspaces and dedicated SQL pools, SQL Database, PostgreSQL, Snowflake, Databricks, Data Factory, SSIS, Analysis Services, Function Apps, Power BI, ML)
- Independently designing analytics solutions with Python, SQL, etc.
- Designing and implementing ETLs and data pipelines
- Creating and maintaining APIs
- Independently applying CI/CD, testing, and version control
- Data modeling
- Model development and optimization
- Anomaly detection with AI
- Predictive analytics
Used technologies:
- Snowflake
- Fabric
- Azure Synapse Analytics
- Azure DataFactory
- Azure Data Lake
- Azure DevOps
- Databricks
- Spark
- CI/CD
- SQL Database
- Python
- Power Platform
Oliver Köhn
Consultant for data-driven AI solutions
Last position:
Consultant for data-driven AI solutions at Oliver Köhn - IT-Freelancer
- AI-powered automation with a focus on efficiency, information processing, and assistant systems
- Automated email classification (OpenAI, FastAPI)
- Contract analysis for LegalTech (Llama 3, LangGraph)
- Internal knowledge search with RAG (VLLM, Hugging Face)
- Anomaly detection on edge devices (LLAVA, TensorRT)
- Agent system for management reports (LangGraph, Zapier)
Discover over 15,000 top freelancers
Microsoft Certified: Azure Data Engineer Associate (DP-203) statistics
Typical experience
12 years
Average project duration
1.8 years
Certifications per freelancer
5
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Banking and Finance, Education
Most common languages
German, English, Russian
Bachelor's degree or higher
100%
Master's degree or higher
83%
Doctorate
33%
Daily Rate Distribution
The chart shows how the daily rates of freelancers holding this certification are distributed, based on recent contracts on our platform. Each bar covers a rate range — its height shows how many freelancers charge within that range. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Average rates for Microsoft Certified: Azure Data Engineer Associate (DP-203) & Seniority distribution
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.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Frequently Asked Questions
Looking for clear information? Everything important about FRATCH is here
Microsoft Certified: Azure Data Engineer Associate validates practical Azure data engineering skills. It shows that the professional can design and build pipelines, move data between systems, transform it for analysis, and keep the solution secure and reliable. For companies, that usually means the freelancer is prepared for real implementation work, not only data design discussions.
Yes. DP-203 is the exam name commonly linked to the Azure Data Engineer Associate certification. Searchers often use either term, and in practice both point to the same Azure data engineering skill set around building and operating data solutions on Microsoft Azure.
Azure Data Engineer Associate goes deeper into building and operating data pipelines than Azure Data Fundamentals, which is broader and more introductory. It is also more specialized than Azure Solutions Architect, which covers overall cloud architecture across many domains. This certification is about hands-on data engineering work inside Azure.
A freelancer with Azure Data Engineer Associate is a good fit if the project involves Azure-based ingestion, transformation, storage, or analytics preparation. It is especially relevant for professionals who already work with data platforms, SQL-based workflows, or cloud services and want to prove focused Azure data engineering capability.
The Microsoft Certified: Azure Data Engineer Associate (DP-203) is usually pursued by people who already have practical experience with data pipelines and Azure services. Preparation typically involves working through Azure data concepts, building and testing pipeline flows, and getting comfortable with security, monitoring, and troubleshooting. Hands-on practice matters more than memorizing theory.
Yes. Azure Data Engineer Associate certifications from Microsoft are kept current through periodic renewal. The renewal process is usually based on staying up to date with the service area and showing continued knowledge of current Azure data engineering practices.
DP-203 matters most in projects that run on Azure and depend on dependable data movement and transformation. In Germany, that often includes cloud migration work, enterprise reporting platforms, and teams that need secure collaboration across business and technical stakeholders. It is also useful when the freelancer must work in English with international teams and deliver clear documentation.
Ask whether Microsoft Certified: Azure Data Engineer Associate experience includes the exact Azure services, pipeline patterns, and operating model your project needs. You should also check whether the person has worked on production systems, not just proofs of concept. That helps you separate broad Azure familiarity from real data engineering delivery.
The average hourly rate for freelancers with Microsoft Certified: Azure Data Engineer Associate (DP-203) in Germany is 90 €, which corresponds to a daily rate of about 723 € based on an 8-hour working day.
Of the freelancers with Microsoft Certified: Azure Data Engineer Associate (DP-203) in Germany, 100% hold at least a Bachelor's degree, 83% hold at least a Master's degree, and 33% hold a doctorate.
On average, freelancers with Microsoft Certified: Azure Data Engineer Associate (DP-203) in Germany have 12 years of professional experience, with a single engagement typically lasting around 1.8 years.
The most common languages among freelancers with Microsoft Certified: Azure Data Engineer Associate (DP-203) in Germany are German (100%), English (100%), and Russian (17%).
The most common industries among freelancers with Microsoft Certified: Azure Data Engineer Associate (DP-203) in Germany are Information Technology (100%), Banking and Finance (67%), and Education (50%).
The most common business areas among freelancers with Microsoft Certified: Azure Data Engineer Associate (DP-203) in Germany are Business Intelligence (100%), Information Technology (100%), and Product Development (50%).
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Philipp Thomaschewski
FRATCH CEO
