DataOps Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used DataOps
Tezcan Dilshener
Last position:
Solution Architect / Project Manager at German Football Association
- Overall responsibility for the project lifecycle from scope definition to completion
- Close collaboration with platform teams, IT leaders, and external service providers
- Application of SAFe principles and structured sprint work
- Creation of a migration roadmap with clear milestones
- Monitoring of the lifecycle: onboarding, repository migration, replication of permissions, and system tests
- Visualization of the architecture with PlantUML and Gliffy as well as documentation in Confluence
- Regular status reports and running knowledge transfer sessions
Louis Guitton
Last position:
Freelance Solutions Architect and Machine Learning Engineer at Self-employed
- Develop and demonstrate solutions using GenAI software like langchain, vercel ai sdk, copilotkit
- Work with customers to understand their challenges and provide the best solutions based on open-source data products
- Build RAG and GraphRAG solutions using Neo4j, lancedb, and Postgres
- Deploy a LLMOps platform using kubernetes, terraform, helmfile, Arize phoenix, mlflow
- Architect and build data pipelines using dbt, Trino, Spark, Iceberg, Airflow, ArgoCD, terraform, kubernetes
- Delivered user-centred technical strategy for Agriculture 4.0 and precision livestock farming, helping my client secure funding from Bpifrance
- Delivered a prospecting tool for a leading French solar carport installer, using geospatial computing (GIS), speeding up the sales process
- Built digital twin architecture for solar carports and EV chargers, making real-time monitoring and smart charging possible
Vili Dhamo
Last position:
Technical Lead, Data Engineer at Mercedes-Benz Consulting
- Optimized the data architecture (medallion) to better decouple processing stages and improve transparency and reproducibility
- Ensured technical quality of data processing in Databricks by introducing schema enforcement, data quality checks and a structured data architecture
- Orchestrated pipelines with Azure Data Factory
- Professionalized and automated the development and deployment process by integrating Git and GitHub Actions
- Led the Data Engineering team (3 members) in a functional role
- Conducted workshops to optimize and stabilize the data platform and the development process
- Collected and prioritized new requests, maintained the product backlog
- Technologies: Microsoft Azure (Data Lake, Data Factory), Databricks, Apache Spark (PySpark), Python, SQL, Git, Confluence, Power BI, Power Apps, Dataverse, MS SharePoint, Mural
Zakaria Aoune
Last position:
Vice President Technology EMEA at Aparavi Software Europe GmbH
- Always looking for solutions to problems and finding ways to tackle business challenges
- Leading and managing large multi-disciplinary teams (product development, project management, engineering, operations, QA, solution management, customer success)
- Developing and executing innovation and digitalization strategies for complex transformation projects
- Acting as Information Security Officer, planning, conducting, and successfully completing all ISO 27001:2022 standard audits and continuously ensuring compliance
- Leading and coaching managers across the organization
- Representing the company at industry events and coordinating external partnerships
- Providing technical support to the Aparavi sales team
- Working with account managers to lead and grow enterprise customers
- Collaborating with technical and non-technical customer departments to manage and meet expectations (e.g., C-level, finance, IT services, data security and works council)
- Leading technical integration and coordinating seamless solution implementation
- Hands-on development and management of cloud, AI, and SaaS solutions to meet demanding customer expectations
- Promoting agile, DevOps-based methods and organizational structures for innovation and sustainable growth
- Continuously analyzing and solving technical and business challenges to boost company success
Moritz Kath
Last position:
Senior DevOps Engineer GCP at tedi GmbH & Co. KG
- Design and implementation of DevOps and CI/CD practices for data and analytics teams
- Introduction of infrastructure as code with Terraform (IaC)
- Setup and maintenance of GCP user and permission management with Terraform in multi-project environment
- Design and implementation of CI/CD pipelines with GitHub
- Leading and training developer team for the introduction of IaC and CI/CD practices
- Building and optimising database connectors with Apache Arrow for terabyte scale data extraction (Oracle, SAP)
- Optimising data lake storage and warehouse ingest
Oliver Rothland
Last position:
Trainer and Solution Architect for Data Management, Data Mesh, Data Fabric, Observability, Big Data Technologies, Advanced
Supporting national and international companies in building data-driven processes, methods, systems, and applications (Data-Driven Company) in data management and agile requirements engineering.
Identifying essential use cases and (non-functional) requirements to build an architecture on the one hand.
Optimizing clients' internal processes and developing training plans for new technologies and methods.
Combining technical know-how (for example, data analysis in cloud data analytics environments through semantic layers) with key soft skills such as agility, teamwork, creativity, and analytical competence.
Emphasis in data management on efficient use of systems as well as the simple application of technologies for data engineering, data cataloging, virtualization, exploration, and visualization.
Operationalizing both infrastructure as well as data and mathematical analytical models (DevOps, DataOps, MLOps).
Acting as a link between architecture, business departments, development, and operations, taking into account essential core areas such as data governance, data security, and data quality.
Felix Meermann
Last position:
Business Developer, Product Owner Support at VisualVest, digital asset manager (robo-advisor) of Union Investment
- Development of an innovative platform for topics and questions around next-generation investments as part of new business models
- Analysis of product ideas
- Coordination of new features with UX/UI (in Figma) and developers
- Creation of user stories in Jira: description/open topics/preconditions/requirements/error handling/audit log/UX/UI/technical hints/test scenario/acceptance criteria
- Conducting tests and documenting test results
- Creation and management of defects
- Coordination of sprint planning and backlog with product owner and Scrum Master
- Preparation of sprint review presentations
- Project implementation with Scaled Agile Framework (SAFe): stage planning in Conceptboard with Magic Estimations, feature/kanban board, sprint planning, functional refinement, sprint backlog, daily standups, sprint review, sprint retrospective
- Platform with the latest technological market standards: Angular (frontend framework), Jakarta EE, Matamo Tracking, Keycloak, movingimage
Torsten Glunde
Last position:
Datavault with Informatica on Oracle at SEFE
- Datavault modeling and performance improvements in Oracle.
- Requirements process with model-driven Datavault automation.
- Preparation of business requirements for the pricing database in the gas and electricity market.
- Sales performance based on Salesforce CRM.
- Tasks: design and development.
- Tools used: Informatica, Oracle, DBT, Docker, DataOps, Airflow Workflow, Python Ingestion, Gitlab CI.
Markus Groh
Last position:
Data Solution Architect, Founder at GRITCON GmbH
- Design and development of modern cloud DWH & data platforms
- Data Vault automation
- Implementation of ELT and CI/CD processes
- Requirements analysis and data modeling
- Building an automated cloud data platform as a reference architecture for financial risk controlling (Snowflake, Data Vault, DBT, Python, GitHub) 2024-10-01 – 2025-06-30, Zurich
- DWH further development, operations and cloud migration (Data Vault, DBT, SAP Data Services, Alteryx, SQL Server, Azure Synapse) 2023-03-01 – 2025-06-30, Frankfurt
- Implementation of a global cloud data platform (Data Vault, WhereScape, Snowflake, AWS, Scrum) 2021-04-01 – 2023-12-31, Cologne
- Proof of concept for a global cloud data platform (Data Vault, Snowflake, Synapse, WhereScape, Azure, Scrum) 2022-04-01 – 2022-07-31, Bonn
- Implementation of a cloud data platform (Data Vault, Snowflake, WhereScape, AWS) 2021-07-01 – 2022-04-30, Karlsruhe
- Big data integration of all source systems related to the ITSM process (Data Vault, Snowflake, WhereScape, AWS, Scrum) 2021-01-01 – 2021-05-31, Prague
- Development and operation of a global self-service BI platform to display around 150 corporate KPIs (Data Vault, WhereScape, Postgres, Jenkins, Talend, AWS, Scrum) 2018-11-01 – 2020-12-31, Frankfurt
- Implementation of a DWH for price management and capacity forecasting in long-distance passenger transport (SAP BODS, SQL Server, AWS) 2017-10-01 – 2018-11-30, Frankfurt
- Introduction of SAP BODS and migration of the existing DWH (SAP, BODS, HANA, Oracle, Cognos) 2017-05-01 – 2017-10-31, Rastatt
Discover over 15,000 top freelancers
Statistics of experts using DataOps
Aggregated from the professional profiles of matched freelancers.
Experience
21 years
Position duration
5.3 years
Positions per freelancer
17
Top business areas
Business Intelligence, Information Technology, Product Development
Top industries
Information Technology, Automotive, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Product Development
Bachelor's degree or higher
86%
Master's degree or higher
71%
Doctorate
29%
Certifications per freelancer
5
Most common languages
German, English, French
Speak two or more languages
89%
Based on our profile pool as of 30 Aug 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany 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.
Average rates of experts in Germany using DataOps
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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
What DataOps covers
DataOps is the practice of applying software delivery discipline to data work. It brings together data ingestion, transformation, testing, monitoring, and release control so analytics and reporting stay dependable.
Common delivery work
- Build and maintain batch and streaming pipelines
- Add validation, lineage, and quality checks
- Automate deployments for warehouse and lakehouse changes
- Monitor freshness, failures, and schema drift
- Improve handoffs between analytics, engineering, and business teams
Tooling and stack
DataOps specialists usually work across orchestration, version control, testing, observability, and cloud data services. The stack often includes tools such as Airflow, dbt, Git, SQL, Spark, and cloud warehouses like Snowflake, BigQuery, or Databricks.
Strong specialists understand how these tools fit together, not just how to use each one in isolation. They design repeatable workflows that make data changes safer and easier to review.
When companies need help
Companies bring in freelance DataOps expertise when data work is growing faster than process. Typical triggers are broken pipelines, slow releases, unclear ownership, or reporting that changes without control.
In Germany, this often shows up in teams that need remote support for cloud data work or on-site collaboration with local stakeholders, especially when business users expect clear documentation and predictable handovers.
What good specialists do
Good DataOps professionals combine data engineering habits with strong operational thinking. They write maintainable SQL and code, create checks that catch bad inputs early, and keep changes small and traceable.
They also know how to work with analysts and platform teams, document assumptions, and make pipelines easier to support after launch.
What to look for
A strong fit usually has experience with:
- Data quality testing and observability
- Orchestration and release automation
- Schema management and lineage
- Cloud data platforms and CI/CD
- Clear documentation and incident handling
Frequently asked questions
Questions about DataOps? Start with the answers below.
DataOps is used to make data pipelines, analytics layers, and reporting workflows more reliable and easier to change. It helps teams move from manual fixes and ad hoc releases to repeatable delivery with testing, monitoring, and clear ownership.
DataOps focuses on how data work is delivered and operated, while data engineering is broader and covers building the data systems themselves. In many teams the same specialist helps with both, but DataOps adds stronger process control, release discipline, and quality checks.
DataOps borrows ideas from DevOps, but it is specific to data pipelines, datasets, and analytics products. The main difference is the focus on data quality, lineage, freshness, and the impact of changes on reports and business decisions.
A strong DataOps freelancer usually knows orchestration, version control, testing, and observability tools. Common names include Airflow, dbt, Git, SQL, Spark, and cloud data warehouses or lakehouse platforms. The exact stack matters less than the ability to connect those tools into a safe delivery flow.
A DataOps project often needs outside help when pipelines are unstable, releases are slow, or teams lack a clear process for quality and monitoring. External specialists are also useful when a company is moving to a new cloud data stack and needs a clean operating model fast.
Yes, DataOps work is often well suited to remote collaboration because much of it happens in code, documentation, and cloud tools. For Germany-based teams, remote work usually fits standard pipeline delivery, while on-site time can help with stakeholder workshops, access planning, or change management.
Look for a DataOps specialist who can explain how they prevent bad data from reaching users, not just how they build pipelines. Good signs are clear testing strategy, monitoring, incident handling, readable SQL and code, and practical documentation that others can follow.
The best DataOps specialists usually bring strong SQL, cloud platform knowledge, and an understanding of analytics workflows. Familiarity with data modeling, CI/CD, incident response, and collaboration with analysts or business users also makes a big difference.
The average hourly rate of freelancers in Germany who have used DataOps in their recent projects is 118 €, which corresponds to a daily rate of about 944 € based on an 8-hour working day.
Of the freelancers in Germany who have used DataOps in their recent projects, 86% hold at least a Bachelor's degree, 71% hold at least a Master's degree, and 29% hold a doctorate.
On average, freelancers in Germany who have used DataOps in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 5.3 years.
The most common languages among freelancers in Germany who have used DataOps in their recent projects are German (100%), English (89%), and French (33%).
The most common industries among freelancers in Germany who have used DataOps in their recent projects are Information Technology (100%), Automotive (67%), and Banking and Finance (44%).
The most common business areas among freelancers in Germany who have used DataOps in their recent projects are Business Intelligence (100%), Information Technology (100%), and Product Development (78%).
Main locations of FRATCH Experts, who have recently used DataOps
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 Request a free demo
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Philipp Thomaschewski
FRATCH CEO
