
ETL Experts in Hamburg
for reliable data pipelines, matched in minutes with vetted professionalsHire experts who design dependable data pipelines, connect cloud and on-premise sources, and prepare analytics-ready datasets with tools such as Apache Airflow, dbt and Informatica. Get a precise match with vetted, available freelancers quickly.
Meet FRATCH Experts in Hamburg, who have recently used ETL
Daniel S.
Last position:
Senior Software Engineer at energielenker solutions GmbH
- Designed and implemented a Python-based ETL pipeline with the Dagster framework to transform raw energy data from heterogeneous sources using InfluxDB and visualizations in Grafana
- Defined time-based and dependency-based jobs
- Deployed to managed Kubernetes clusters using Helm
- Integrated InfluxDB Cloud
- Prepared data for use in Grafana, including cleaning, normalization, and time-based resampling in Python
- Developed dashboards and visualizations in Grafana
- Developed unit tests with mocking using pytest
- Set up a CI/CD pipeline in GitLab
Technologies: Python, Dagster, InfluxDB, Grafana, pandas, pytest, REST, CI/CD, GitLab, Container, Kubernetes, Helm, Docker, Cloud
Sanchit B.
Last position:
Freelancer at S2S Dynamics UG
- Implementing cross-industry applications with LLMs
- Developing cloud infrastructure for clients
- Implemented end-to-end data pipeline to deploy models in real time
- Managed overall IT system administration and desktop support
Thorsten B.
Last position:
Senior Backend Engineer at VTG Rail Europe
traigo is VTG's digital rail logistics and fleet management platform. It processes large volumes of telemetry, mileage, geofence, sensor and wagon-movement events in near real time and provides operational services for rail logistics customers across Europe.
As part of Team Customer Selfcare, I worked on the design, implementation, optimisation and operation of large-scale backend services and event-driven processing pipelines — covering both feature development and operational ownership of business-critical production systems. I also regularly acted as first responder for production incidents, data inconsistencies and performance investigations across multiple distributed services.
- Design and implementation of event-driven backend services.
- Migration and replacement of legacy processing pipelines.
- Development of replay / rebuild mechanisms for large event datasets.
- High-throughput asynchronous event processing on SNS / SQS.
- Database and query optimisation for PostgreSQL and DynamoDB.
- Design of scalable read / write models and aggregation pipelines.
- Production troubleshooting and operational support.
- Performance tuning and infrastructure scaling.
- Design and stabilisation of integration and system tests.
- Technical concepts, architecture documentation, and cross-team collaboration.
- Support the further development of existing GitLab CI/CD pipelines
Geofence & Wagon Stay Processing
- Algorithm to detect vehicles within geofences (entry, exit, dwell time).
- Event sourcing with guaranteed chronological order within the affected time window.
- Refactored geofence event and wagon-stay processing logic for performance.
- Resolved race conditions and event-ordering problems in distributed services; server-side filtering, aggregation and optimised query pipelines.
- Repair and replay tooling for corrupted or inconsistent movement data.
Fleet Metadata & Mileage
- Modernised the service; migrated storage from DynamoDB to PostgreSQL to improve traceability and accelerate new features.
- Scalable mileage aggregation and replay mechanisms.
- Read / write models and optimised queries for high-volume mileage calculations.
Sensor & Telematics Integration
- Integrated telemetry and sensor processing pipelines.
- Snapshot and state-calculation logic for sensor systems.
- APIs and persistence models for wagon sensor data; data-quality improvements.
- Further development of a service using gRPC for intra-service communication.
Movement Segment Processing & Routing
- Migrated services to new movement-segment event streams.
- Built replay and rebuild tooling for segment correction.
- Optimised throughput and reliability for high-volume event processing.
Condition Monitoring & Wagon Analytics
- APIs and backend services for wagon condition monitoring.
- Brake-wear prediction processing and wagon analytics functionality.
- PostgreSQL views and optimised query models for operational dashboards.
Operational Reliability - First Responder
- Investigated production incidents and distributed-system failures; DLQ analysis, replay and operational recovery.
- Tuned database performance and AWS infrastructure under production load.
- Improved observability, monitoring and operational tooling.
- Supported rollout strategies, monitoring and post-deployment stabilisation.
Marcus B.
Last position:
Data Engineer at Deutsche Bahn AG via Scoore GmbH
- Development of ETL pipelines with Talend (7/ Enterprise)
- Development/adaptation of database schema/database functions (PostgreSQL)
- Development of GIT CI pipelines
Technologies: Talend Enterprise, Git, PostgreSQL, Dbeaver, SQL, PL-SQL, Liquibase
Alex O.
Last position:
Contractor at Telefonica Germany GmbH & Co. OHG
- Data-analysis, Preparation, gathering and coordination of business requirements for retrieval of monthly- and long term (CLV – relevant) cost- and revenue-components per contract for a customer–base–grouping project (HUB–Project) for B2C-Postpaid-Controlling
- Concept and Implementation of cost- and revenue-KPIs calculation and corresponding CLV–reports (Oracle, Perl, SVN, MS SQL Server, MS Power BI, Serviceware Performance Analytics)
- Operational support of the HUB-Project – various ad-hoc reports, deployments, job-scheduling etc. (Oracle, SVN, BICSuite–Scheduler, DWSODA etc.)
- Analysis, implementation, retrieval and reporting of various physical and financial KPIs for B2P-Prepaid Business on an existing data-mart (Oracle, Perl)
Thilo S.
Last position:
Founder / Marketing Analytics Consultant at thiloschroeder.com
I help marketing teams and leaders get from data to decision - understanding their business model, defining what to measure, and building the tracking and reporting infrastructure to make it happen.
- Built and optimized analytics setups for 60+ clients across D2C, E-Commerce, SaaS, LeadGen and Subscription businesses in my career - from early-stage startups to enterprises
- Core focus: GA4 & GTM tracking architecture (incl. server-side), consent-compliant measurement, marketing dashboards (Power BI) and attribution
- Trusted long-term partner: most client relationships extend well beyond the initial project into ongoing strategic and operational support (NPS > 9.4)
- Regularly act as analytical sparring partner for marketing leads and C-level stakeholders, bridging the gap between data, tech and business strategy
Andreas D.
Last position:
Interim Chief Technology & Product Officer at Babbel GmbH
- Restructuring for product-led growth in the field of digital user-centric tech product development language learning experiences
- Scaling empowered tech product teams
- Anti-fragile software engineering
Shahram D.
Last position:
IT Project Manager & Consultant (Concept and implementation of EU regulations) at Witt Group / Otto Group
- Planning, steering, and monitoring the Corporate Responsibility Tech Enablement project for IT
- Concept and implementation of the EUDR (EU Deforestation Regulation)
- Concept and implementation of the Eco-Design Regulation
- Continued support of projects within the Corporate Responsibility strategy
- Definition and review of guidelines (e.g. governance, success metrics) and, if needed, analysis of issues and their solutions
- Overall project management, marketing, communication, and quality assurance for the projects
- Creation of the project plan including timeline/roadmap, budget, and resources
- Ensuring compliance with budget and deadlines
- Defining guidelines for project control, methods, and priorities
- Planning and tracking resources and effort, also together with other IT teams
- Evaluation of projects and preparation of results (reporting to management)
- Identification and reduction of risks
- Regular communication with stakeholders
- Steering internal and external stakeholders and service providers (Jira, Confluence, backlog management, task tracking, SharePoint, MS 365 platform etc.)
- Development of standards and process automation
Label: Azure Cloud, Jira, Confluence, Power BI, SAP BW, AWS, Miro, Bee360, Draw.io, SharePoint, MS 365 platform, Trello etc.
Frank H.
Last position:
Process Manager/CPQ Expert at Liebherr Mischtechnik
- With the CPQ process change from "ETO" to "CTO", the previous tools "Selling" and "Camos CPQ" are replaced by "MS Dynamics 365" and "Configure One CPQ".
- Assessment of the current vs. target state and recommendations for action.
- Assessing the project from an external perspective (both technically and in terms of content).
- Evaluating the Configure One system in the context of LMT.
- Jointly develop a concept for further CPQ implementation and create an MVP.
- Change and stakeholder management.
- Product Owner for setting up follow-up projects.
- Handover to business units.
- Final consulting on open issues (e.g. future controlling).
Alexander P.
Last position:
Head of integration for six country subsidiaries at XSYS Holding
- Analyzed the required scope of processes, infrastructure, and SAP for integrating the MacDermid subsidiaries
- Validated proposals from the new service providers
- Managed the collaboration and tracked the tasks of business and IT experts
- Coordinated communication and the PMO
- Created cutover plans in three waves for SAP conversion, Salesforce, and Ariba
Nikolas R.
Last position:
Data Protection Coordinator for Online-Services and Tracking-Technology at Telefónica Germany GmbH & Co. OHG
As a bridge between Legal, IT, and Marketing, my responsibilities include conducting technical due diligence, documentation, and designing privacy-compliant IT functions across multiple B2P Telefónica Germany brands as part of the RAITT digitalization program. Focused on aligning web and app services with GDPR, TDDDG, and Privacy by Design & Default principles.
Core responsibilities included analysing and visualising data flows across customer journeys, validating tracking and martech integrations, and supporting IT teams in designing privacy-compliant digital architectures. Delivered documentation for internal legal assessments and maintained OneTrust governance and cookie-banner accuracy.
Services and technologies involved:
- Identity & Authentication: CIAM (OAuth2, OIDC), login and session handling, customer account services
- Analytics & Measurement: Google Analytics (GA4), Google Tag Manager (Server-side Tagging & Data Stream Design), event tracking and tagging
- Advertising & Attribution: Google Ads, Google DoubleClick / Campaign Manager, Meta Pixel, affiliate partner integrations
- Experience & Personalisation: Adobe Experience Manager (AEM), Adobe Target, Adobe Experience Platform (AEP), Adobe Edge Network
- Security & Delivery: Cloudflare (CDN), PayPal FraudNet
- Compliance & Governance: OneTrust CMP, consent categories, cookie governance, TDDDG-compliant banner logic
- General web/app services: partner APIs, data transfers, tracking schemas, consent-dependent data activation
Aravind S.
Last position:
AI – Data Specialist at Emirates Islamic Bank
- Architected and deployed LLM based AI agents, RAG pipelines, and vector search solutions for decision support across retail banking department.
- Developed and shipped robust AI pipelines with guardrails, error handling, monitoring, and fallback logic ensuring high reliability outcomes and compliance with data privacy.
- Developed and deployed ML models to identify transactional anomalies, improving fraud detection and risk assessment in high-volume datasets for credit risk modelling.
- Built, evaluated and fine-tuned ML models to generate propensity scores for customers used to drive personalized targeting campaigns for credit cards and personal finance/loan products.
- Developed an NLP pipeline using BERT embeddings and spaCy NER for SMS/email analysis and customer query logs.
- Trained machine learning models using Isolation Forest to classify user behaviour and detect anomalies.
- Extracted, cleaned, enriched and feature engineered datasets from different sources to build feature stores that powered ML model training.
- Led development of dashboards using Power BI, Grafana, and Prometheus to monitor model performances, KPI trends, and marketing metrics.
- Built multi-touch attribution models using logistic regression and time-decay weights to evaluate lead quality.
- Developed scalable ETL pipelines from CRM, T24, SAP, and ERP, supporting millions of monthly transactions.
- Integrated testing and CI/CD workflows for robust data pipeline deployment.
Jan G.
Last position:
Interim Senior Application Owner for Pricing, Forecasting and Prognosis Solutions at International energy trading company
- Collaborated closely with key users, business analysts and product owners to understand requirements, define priorities and derive solutions
- Managed external service providers
- Oversaw and executed updates, patches and release management
- Handled incident, problem and change management according to ITIL
- Analyzed and evaluated incidents and changes for operational impact and business processes
- Monitored systems and interfaces, ensuring IT security and compliance requirements
- Supported IT planning, cost monitoring and contract management
- Created and executed tests for maintenance and projects
- Assisted in designing technical solutions and contributed to projects such as IT landscape harmonization and modernization
- Independently led operations-related projects and continuously optimized processes
- Achieved significant cost savings through supplier negotiations, rightsizing and decommissioning of legacy systems
- Technologies: Azure DevOps, ServiceNow, icinga, metalogic mPE/mPX, FIS, inubit, Oracle, LeanIX, One Identity, Confluence, Copilot, XML, JSON, SQL, RabbitMQ, Python, BPMN, OKR, ITIL, Kanban
Simson O.
Last position:
Product Owner Salesforce at Hermes Germany GmbH
- Optimized and introduced Salesforce processes (Sales Cloud + Marketing Cloud) to support sales.
- Implemented processes for collecting requirements from various departments.
- Expanded reporting for transparency of project progress and backlog priorities.
- Managed the backlog, created user stories and acceptance criteria.
Tarik H.
Last position:
Technical Product / Digital Asset Owner at Sodexo Pass & Benefit Services
- Migration of 3 DE/AT payment iOS/Android apps and web portal to global solution
- Performed a fit gap analysis for 6 consumer apps vs. global solution
- Managed the migration project to global CWC solution, developed end-to-end tests for backend systems, Pi Planning, release planning
Discover over 15,000 top freelancers
Statistics of experts using ETL
Aggregated from the professional profiles of matched freelancers.
Experience
21 years (Germany: 17 years)

Position duration
2 years (Germany: 5.2 years)

Positions per freelancer
15 (Germany: 11)

Top business areas
Information Technology, Business Intelligence, Product Development

Top industries
Information Technology, Transportation, Retail

Certification focus areas
Information Technology, Business Intelligence, Operations
Bachelor's degree or higher
76% (Germany: 95%)
Master's degree or higher
53% (Germany: 67%)
Doctorate
6% (Germany: 11%)

Certifications per freelancer
4 (Germany: 3)

Most common languages
German, English, French

Speak two or more languages
95% (Germany: 97%)
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 Hamburg 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 Hamburg using ETL
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.
ETL 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 (95%)
- Transportation (60%)
- Retail (55%)
- Banking and Finance (50%)
- Telecommunication (50%)
- Manufacturing (45%)
- Professional Services (40%)
- Automotive (35%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What ETL does
ETL means extract, transform and load. It moves data from operational systems into a warehouse, lake or reporting environment, while applying rules that make the data consistent and usable. Typical sources include relational databases, APIs, files, ERP systems and SaaS applications.
Pipelines and platforms
ETL work covers batch processing, scheduled jobs and, where needed, near-real-time data flows. Specialists may work with SQL, Python, Spark, Kafka, cloud storage and warehouse technologies such as Snowflake, BigQuery, Redshift or Microsoft Fabric. Orchestration often involves Apache Airflow, Azure Data Factory, AWS Glue, Informatica or Talend.
Typical delivery work
- Map source data, business rules and target models
- Build incremental loads, transformations and orchestration
- Reconcile records and handle duplicates, failures and late data
- Document lineage, ownership and operational procedures
The deliverable may be a new warehouse pipeline, a migration from legacy tooling, a reusable transformation layer or a monitored flow that feeds finance, sales, supply chain or customer analytics.
When companies need specialists
Companies often bring in freelance ETL expertise when a warehouse project has a fixed delivery window, internal teams lack capacity, or existing jobs are slow and difficult to maintain. Signs include manual spreadsheet preparation, conflicting reports, repeated load failures and unclear ownership of critical data. Hamburg companies may also need professionals who can collaborate remotely while joining workshops or stakeholder sessions on site.
Quality signals
Strong professionals start with source profiling and clear acceptance criteria rather than copying fields without context. They design idempotent loads, meaningful error handling, testable transformations and observability for freshness, volume and validity. They also explain trade-offs between batch ETL, ELT and streaming in terms of cost, latency, governance and team capability.
Skills beyond pipelines
Good ETL work depends on more than moving records. Look for experience with dimensional modelling, data quality checks, CI/CD, infrastructure as code, access controls and warehouse performance. Familiarity with GDPR-aware data handling can matter for German organisations, as can clear documentation and communication in English or German when business and technical teams are distributed.
Frequently asked questions
Questions about ETL? Start with the answers below.
ETL is used to collect data from multiple sources, clean and reshape it, and load it into a system for reporting, analytics or operational use. A specialist can create repeatable pipelines for sales, finance, logistics, customer data and other business domains.
ETL transforms data before loading it into the target system, while ELT loads the raw data first and transforms it inside a warehouse or lakehouse. The better choice depends on warehouse capability, data volume, latency, governance and the skills available in the team.
ETL work benefits from SQL, Python, data modelling, cloud storage and warehouse knowledge. Depending on the project, look also for Apache Airflow, dbt, Spark, Kafka, CI/CD, monitoring and experience with source systems such as ERP or CRM software.
ETL project needs vary with source complexity, compliance requirements, delivery speed and the number of target systems. A small, well-documented pipeline may need focused specialist support, while a migration or enterprise warehouse requires broader design, testing and operational experience.
ETL work is often suitable for remote collaboration because source mapping, development, testing and documentation can be handled online. On-site workshops in Hamburg can still help when specialists need direct access to business owners, legacy systems or data governance stakeholders.
ETL projects commonly use SQL and Python alongside tools such as Apache Airflow, Azure Data Factory, AWS Glue, Informatica, Talend, Spark or dbt. The right stack depends on the existing cloud environment, source systems, warehouse and operating model.
ETL quality shows in reliable reconciliations, clear lineage, repeatable runs and useful monitoring rather than in a tool name alone. Ask the specialist to explain how they test transformations, manage schema changes, recover from failures and measure data freshness and completeness.
ETL specialists may deliver source mappings, transformation logic, scheduled or event-driven pipelines, data models, quality checks and operational documentation. They can also improve slow jobs, migrate legacy workflows or establish monitoring and deployment practices for an existing data platform.
The average hourly rate of freelancers in Hamburg, Germany who have used ETL in their recent projects is 103 €, which corresponds to a daily rate of about 823 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used ETL in their recent projects, 76% hold at least a Bachelor's degree, 53% hold at least a Master's degree, and 6% hold a doctorate.
On average, freelancers in Hamburg, Germany who have used ETL in their recent projects have 21 years of professional experience, with a single engagement typically lasting around 2 years.
The most common languages among freelancers in Hamburg, Germany who have used ETL in their recent projects are German (100%), English (95%), and French (20%).
The most common industries among freelancers in Hamburg, Germany who have used ETL in their recent projects are Information Technology (95%), Transportation (60%), and Retail (55%).
The most common business areas among freelancers in Hamburg, Germany who have used ETL in their recent projects are Information Technology (100%), Business Intelligence (90%), and Product Development (85%).
Main locations of FRATCH Experts, who have recently used ETL
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.
Countries:
Request a free demo
Get in touch with the FRATCH team and we will get back to you within 4 hours.
Would you rather directly get in touch?
We always have the time for a call or email!

Berlin
Munich
Cologne
Frankfurt
Dusseldorf
Essen
Nuremberg