Apache Airflow Experts in Cologne
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Meet FRATCH Experts in Cologne, who have recently used Apache Airflow
Alexander B.
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
Fahad R.
Last position:
Data Science – Operations Optimization at Netto-marken
Project: Digitalization of Warehouse Processes | Building a Data Analytics Platform.
- Built a web-based workforce allocation system that digitized daily shift planning by matching worker expertise to operational zones, replacing manual coordination with a structured workflow adopted across the site, saving supervisors time on daily planning.
- Developed a real-time operational visibility dashboard giving supervisors a live view of task throughput and outstanding workload across warehouse zones throughout the day, helping reduce overtime and idle labour costs.
- Developed a slotting optimization solution to improve warehouse picking efficiency and reduce picking time per order, working directly with operations teams from concept through production deployment.
Technologies used: Python, Django, PostgreSQL, Pandas, NumPy, HTML, Java, JavaScript, Docker, Kubernetes, AWS, Power BI, GitHub Actions CI/CD, GitOps, Claude, OpenAI
Rainer L.
Last position:
Senior IT Consultant, Senior Software Architect, Senior Software Developer, Senior DevOps Engineer at Techniker Krankenkasse
Automation of the database major / minor releases for the TKeasy project
Concept for database major / minor release automation
Assessment of the current state
Evaluation of Redgate Flyway functionalities
Concept development
Products: Redgate Flyway, GitHub, Quest, Erwin Data Modeller, Oracle, Atlassian Jira, Atlassian Confluence
Knowledge: Docker, Continuous Delivery, Continuous Integration, Redgate Flyway, Major Releases, Minor Releases
Johannes W.
Last position:
Senior Data Engineer at Soorce GmbH
- Analysis of business requirements
- Integration of different data sources such as ERP systems, production systems, and external data sources
- Implementation of load processes and processing logic with MSSQL
- Data modeling and optimization of data models
- Setting up data quality management incl. data profiling with dynamic programming
- Support in designing and establishing data governance, especially in the areas of data quality management and data protection
- Support in developing BI solutions with Tableau to help decision-making processes
Emmanouil T.
Last position:
Senior Analytics Engineer at Trade Republic Bank GmbH
- Implementation of analytics and automation solutions for the Anti Financial Crime business unit
- Providing the infrastructure, including reusable data models and feature ingestion for production ML and rule based models in the areas of Account Take-Over and Card fraud detection, as well as Customer Risk Assessment
- Tools used: Snowflake, dbt, Looker, AWS, Python, Airflow, Metaflow
Pappu P.
Last position:
Senior Cloud Consultant (AWS Services and Consulting) at devoteam GmbH
- Developed automated ETL pipelines with AWS Glue and Athena to ensure consistent data quality and governance requirements
- Implemented validation, anonymization, and encryption measures for data in compliance with GDPR
- Optimized cloud costs by introducing FinOps practices and increased transparency for business units
- Monitored performance, performed root cause analyses, and ensured adherence to SLAs
- Supported data and solution architects in building scalable data models for ML and analytics scenarios
Discover over 15,000 top freelancers
Statistics of experts using Apache Airflow
Aggregated from the professional profiles of matched freelancers.
Experience
14 years
Position duration
1.3 years (Germany: 1.9 years)
Positions per freelancer
10
Top business areas
Business Intelligence, Information Technology, Quality Assurance
Top industries
Education, Banking and Finance, Information Technology
Certification focus areas
Information Technology, Business Intelligence, Research and Development
Bachelor's degree or higher
100% (Germany: 99%)
Master's degree or higher
83% (Germany: 71%)
Certifications per freelancer
5 (Germany: 3)
Most common languages
German, English, Greek
Speak two or more languages
100% (Germany: 97%)
Based on our profile pool as of 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Cologne 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 Cologne using Apache Airflow
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 29 Oct 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
Apache Airflow experts industry focus
See which industries our matched freelancers work in most often — every figure is calculated live from the freelancers on FRATCH.
- Education (83%)
- Banking and Finance (67%)
- Information Technology (67%)
- Automotive (50%)
- Insurance (50%)
- Transportation (50%)
- Manufacturing (50%)
- Retail (50%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Workflow orchestration
Apache Airflow is an open-source platform for authoring, scheduling and monitoring workflows. Teams define data pipelines as Python-based directed acyclic graphs, or DAGs, and manage dependencies, retries and execution history from a central interface. It is built for workflows that need clear scheduling and operational control.
Data pipeline use
Airflow coordinates extraction, transformation and loading across databases, APIs, object storage and warehouses. It also supports recurring reporting, feature generation, model training and data quality checks. The platform orchestrates work; specialised systems usually perform the heavy processing.
- Schedule batch pipelines and recurring data transfers
- Coordinate transformations in Snowflake, BigQuery or Spark
- Trigger machine learning and reporting workflows
- Add dependencies, retries, alerts and backfill logic
Ecosystem and tooling
Strong Apache Airflow specialists work with Python, SQL and common data services. Their toolkit may include the KubernetesExecutor, CeleryExecutor, Docker, Git, Terraform and cloud services such as AWS, Google Cloud or Microsoft Azure. Provider packages connect DAGs to databases, queues, storage and analytics tools.
When expertise matters
Companies bring in freelance expertise when pipelines have become difficult to operate, scheduling rules are fragile or a migration needs careful planning. Cologne teams may combine local workshops with remote delivery, depending on security, data access and collaboration needs. Specialists can also document workflows and establish clear ownership.
- Replace scripts and cron jobs with observable DAGs
- Migrate deployments between environments or cloud services
- Improve task reliability, concurrency and resource use
- Set up testing, monitoring and incident procedures
What strong specialists deliver
Experienced professionals separate orchestration from data processing and keep DAGs readable, modular and safe to rerun. They understand scheduling semantics, time zones, idempotency, backfills, task mapping and secrets management. They also choose suitable executors and deployment patterns instead of treating every workflow as a single large script.
Assessing project fit
A useful brief describes data sources, destinations, execution frequency, security constraints and the current deployment model. Ask candidates to explain how they would test a DAG, recover from a failed task and prevent duplicate outputs. Quality is visible in maintainable code, useful alerts, clear documentation and a practical handover to the internal team.
Frequently asked questions
Not sure where to start with Apache Airflow? These answers cover the essentials.
Apache Airflow is used to schedule, coordinate and monitor workflows made up of dependent tasks. Companies commonly use it for data ingestion, warehouse transformations, reporting, machine learning preparation and recurring operational processes.
Apache Airflow offers a mature scheduler, a broad provider ecosystem and a web interface for inspecting workflow runs. Cron is simpler but provides less dependency management and observability, while Dagster and Prefect may suit teams that prefer different asset, typing or orchestration models.
A strong Apache Airflow specialist usually works comfortably with Python, SQL, cloud storage, data warehouses and containerised deployments. Useful adjacent skills include Kubernetes, Spark, Terraform, Git-based delivery, data quality testing and monitoring.
The right level depends on the workflow complexity and operational risk. A small set of scheduled DAGs may need focused implementation support, while a shared platform with many teams benefits from expertise in architecture, scaling, security, testing and migration.
Yes. Apache Airflow work is often suitable for remote collaboration because DAGs, infrastructure and documentation can be reviewed in shared repositories. On-site sessions in Cologne can still help with access controls, architecture workshops and coordination with data or operations teams.
A capable Apache Airflow specialist first reviews data sources, destinations, schedules, dependencies, retry behaviour and ownership. They should also clarify execution environments, secrets handling, access policies, alerting and whether workloads belong in Airflow or in a processing system.
Look for readable DAGs, idempotent tasks, reliable retries and tests that cover dependencies and failure paths. A strong Apache Airflow professional also provides useful monitoring, clear runbooks, sensible resource controls and documentation that another team can maintain.
An Apache Airflow migration can expose hidden dependencies, time-zone assumptions, duplicate-processing issues and differences between execution environments. The work is safer when the specialist inventories existing schedules, validates outputs, tests backfills and moves workflows in controlled stages.
The average hourly rate of freelancers in Cologne, Germany who have used Apache Airflow in their recent projects is 96 €, which corresponds to a daily rate of about 768 € based on an 8-hour working day.
Of the freelancers in Cologne, Germany who have used Apache Airflow in their recent projects, 100% hold at least a Bachelor's degree and 83% hold at least a Master's degree.
On average, freelancers in Cologne, Germany who have used Apache Airflow in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 1.3 years.
The most common languages among freelancers in Cologne, Germany who have used Apache Airflow in their recent projects are German (100%), English (100%), and Greek (17%).
The most common industries among freelancers in Cologne, Germany who have used Apache Airflow in their recent projects are Education (83%), Banking and Finance (67%), and Information Technology (67%).
The most common business areas among freelancers in Cologne, Germany who have used Apache Airflow in their recent projects are Business Intelligence (100%), Information Technology (100%), and Quality Assurance (83%).
Main locations of FRATCH Experts, who have recently used Apache Airflow
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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