AWS Glue Experts in Frankfurt
in minutes with vetted specialists and the power of AIHire experts who design Glue ETL jobs, manage the AWS Glue Data Catalog, and build reliable data pipelines for Athena, S3, and Redshift. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Frankfurt, who have recently used AWS Glue
Monika T.
Last position:
Senior ETL Lead at Takeda GmbH
- Led design, development, and deployment of data solutions supporting a major pharma acquisition for Takeda Pharmaceutical Company, delivering transparency reporting systems across Azure,Databricks (Python and Shell Scripting) platforms.
- Owned,Designed and developed scalable ELT pipelines to process Customer and Product data using Azure, complex SQL, Databricks, and shell scripting, enabling efficient data integration and processing across multiple sources including job orchestration and workflow automation.
- Implemented performance optimization techniques (query tuning, parallelism, workload optimization), improving system efficiency and processing time.
- Applied strong analytical and problem-solving skills to assess technical solutions and support business requirements for compliance and transparency reporting.
- Designed scalable data foundations suitable for downstream analytics and AI workloads.
- Led data quality initiatives by assessing multiple source data, defining quality metrics, and establishing processes for monitoring and continuous improvement.
Ulm P.
Last position:
DataStage ETL Expert at ING Bank
- Datastage 11.7, dbt, Oracle 19, Python 3.12 / PySpark 3.5, Azure GitHub, Azure DevOps, Automic
- Development of migration jobs to transfer data from the collection DWH to the new Risk Mart, as well as development of ETL pipelines to migrate historical data from the old Mart to the new Risk Mart.
- Storage of the silver layer on Hadoop and the gold layer in Oracle.
- Translation of DataStage jobs into dbt to publish reporting data in Google Cloud to a PostgreSQL database.
- Creation and optimization of complex SQL queries for data extraction from a data vault, taking into account historical data in the point-in-time tables.
- Creation of Oracle table definitions (DDL) and adjustment of existing stored procedures.
- Versioning changes in GitHub and deployment via the CI/CD portal.
- Refactoring long-running DataStage jobs into Python using PySpark to reduce server load.
- Migration of SAS scripts to PL/SQL, including new development of distribution functions that have no direct equivalent in Oracle.
- Development of Automic jobs to run DataStage pipelines and Python scripts (PySpark jobs) that control the population of the SME and institutional risk tables in the Risk Mart and perform business calculations.
- Participation in the agile process, including creating user stories, estimations, and planning in Azure DevOps.
- Handling Azure DevOps tickets and close collaboration with testers and business teams for error analysis and resolution.
Ashkan Z.
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
Anton R.
Last position:
AI-Engineer at Publicly traded company, industrial safety technology
- Designed and implemented the agent-based AI architecture for a company-wide platform to securely deploy LLM-based agents
- Designed and implemented end-to-end RAG pipelines from multiple sources: document preprocessing, chunking strategies for different document types, embeddings, retrieval with re-ranking, and robust prompt orchestration
- Developed a modular context engineering framework with skill architecture, context isolation, and dynamic resource management; human-in-the-loop control for enterprise tool integrations
- Built the CI/CD pipeline, testing strategy, tracing on the software side as well as automated LLM and agent evaluations, red team testing and tracing, and handed over to a reproducible production environment (ISO27001 and SOC2 compliant)
Leonard H.
Last position:
Freelance Software Engineer & Cloud Architect at Leonard Hußke - IT Solutions
- Evaluation of potential providers (Snowflake vs Databricks) and design of the analytics data platform using Databricks
- Data storage and ingestion layer with Amazon S3
- Creation of ETL processes and data transformations with AWS Glue and Databricks Notebooks
- Orchestration with AWS Glue Workflow, Databricks Workflow and Databricks DLT
- Processing of unstructured data including text, image and video
- Databricks workspace setup and administration
- Setting up a medallion architecture to ensure data quality
- Evaluation of possible BI tools (Power BI, AWS QuickSight, Tableau)
- Establishing MLOps using MLflow
- Introducing data governance and data lineage using Unity Catalog
Roman K.
Last position:
Senior Data Engineer / Cloud Architect at DB Systel
- Development of a central billing app for cloud costs at DB
- AWS
- Python
- AWS CDK
- RDS
- Spark (PySpark)
- Glue
- Lambda
- CI/CD (GitLab)
- React/Typescript
- data optimization
- Scrum
Discover over 15,000 top freelancers
Statistics of experts using AWS Glue
Aggregated from the professional profiles of matched freelancers.
Experience
16 years (Germany: 15 years)
Position duration
2.7 years (Germany: 2.1 years)
Positions per freelancer
11 (Germany: 9)
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Healthcare, Transportation
Certification focus areas
Information Technology, Business Intelligence, Research and Development
Bachelor's degree or higher
100% (Germany: 93%)
Master's degree or higher
40% (Germany: 63%)
Doctorate
20% (Germany: 19%)
Certifications per freelancer
4
Most common languages
German, English, French
Speak two or more languages
100% (Germany: 94%)
Based on our profile pool as of 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Frankfurt 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 Frankfurt using AWS Glue
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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
AWS Glue 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%)
- Healthcare (50%)
- Transportation (50%)
- Professional Services (50%)
- Advertising (33%)
- Education (33%)
- Energy (33%)
- Manufacturing (33%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
AWS Glue basics
AWS Glue is a managed data integration service on AWS. It is used to discover data, transform it, and move it between systems without running a full batch platform yourself. Companies use it for ETL, cataloging, and serverless data pipelines.
Common delivery work
- Build ETL and ELT jobs for S3, Redshift, and data lakes
- Set up crawlers and the AWS Glue Data Catalog
- Prepare data for Athena, Lake Formation, and analytics tools
- Orchestrate scheduled or event-driven pipeline steps
Skills that matter
Strong professionals know Spark, Python or Scala, IAM, and AWS networking basics. They understand partitions, schema changes, file formats such as Parquet or JSON, and how to keep jobs stable when source data shifts. Good work also includes logging, retries, and clear runbooks.
When companies bring in help
Teams often look for freelance experts when a pipeline is late, a migration is blocked, or an existing Glue setup is hard to maintain. They may need help with job tuning, catalog cleanup, dependency handling, or moving legacy scripts into managed AWS Glue workflows. In Frankfurt, this often fits projects that need close work with cloud and data teams across different locations.
Ecosystem and tooling
AWS Glue is rarely used alone. It often sits beside S3, IAM, Athena, Redshift, Lambda, Step Functions, and Lake Formation.
- Data discovery and metadata management
- Serverless Spark transformations
- Pipeline orchestration and automation
- Governance for shared data assets
What strong specialists deliver
A strong AWS Glue specialist writes jobs that are easy to rerun, test, and extend. They document mappings, handle bad records, and keep costs under control by choosing the right job shape and data layout. The best experts leave behind a pipeline the team can operate confidently.
Frequently asked questions
Need clarity? These are the questions we hear most often about AWS Glue.
AWS Glue is used to build managed data pipelines on AWS. It helps teams discover source data, transform it, and load it into targets such as S3, Redshift, or query layers like Athena. Companies hire specialists for ETL, catalog work, and pipeline automation.
AWS Glue gives you a managed way to run Spark-based transformations without maintaining the cluster setup yourself. It is a strong fit when you want AWS-native data integration and less infrastructure work. If a project needs full runtime control, custom Spark on EMR or another stack may fit better.
A company usually brings in a AWS Glue expert when jobs are failing, the catalog is messy, or a migration needs to happen quickly. Freelancers are also useful when the internal team knows AWS but lacks hands-on ETL depth. This is common for one-off fixes, redesigns, and delivery surges.
A strong AWS Glue specialist usually also knows S3, IAM, Athena, Redshift, and Lambda. Python is common, and Spark knowledge helps a lot for transformation logic and troubleshooting. Data modeling and file-format knowledge are also important.
Many AWS Glue projects can be done remotely, especially if the data pipelines and AWS accounts are already accessible. On-site work in Frankfurt can help when security review, stakeholder alignment, or migration planning needs close coordination. The best setup depends on how much access and collaboration the project requires.
An AWS Glue project that only needs a few crawlers and simple jobs is different from a full data platform rebuild. Smaller tasks can be handled by a focused specialist, while migrations, tuning, and governance work need deeper AWS and data engineering experience. The real test is whether the person has shipped similar pipeline work before.
Look for clear job design, solid error handling, and clean use of the AWS Glue Data Catalog. Good specialists explain why they chose a certain pattern, how they manage schema changes, and how the pipeline will be operated after handover. Ask for examples of debugging, performance tuning, and production support.
AWS Glue is best known for ETL, but it also covers cataloging, discovery, and orchestration around data workflows. Many teams use it as part of a wider AWS data stack rather than as a standalone tool. That makes it useful for analytics pipelines, lakehouse work, and governed data sharing.
The average hourly rate of freelancers in Frankfurt, Germany who have used AWS Glue in their recent projects is 98 €, which corresponds to a daily rate of about 780 € based on an 8-hour working day.
Of the freelancers in Frankfurt, Germany who have used AWS Glue in their recent projects, 100% hold at least a Bachelor's degree, 40% hold at least a Master's degree, and 20% hold a doctorate.
On average, freelancers in Frankfurt, Germany who have used AWS Glue in their recent projects have 16 years of professional experience, with a single engagement typically lasting around 2.7 years.
The most common languages among freelancers in Frankfurt, Germany who have used AWS Glue in their recent projects are German (100%), English (100%), and French (17%).
The most common industries among freelancers in Frankfurt, Germany who have used AWS Glue in their recent projects are Information Technology (83%), Healthcare (50%), and Transportation (50%).
The most common business areas among freelancers in Frankfurt, Germany who have used AWS Glue in their recent projects are Information Technology (100%), Business Intelligence (83%), and Product Development (67%).
Main locations of FRATCH Experts, who have recently used AWS Glue
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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Philipp Thomaschewski
FRATCH CEO
