
ETL Experts in Hamburg
matched in minutes with vetted and available freelancersHire experts who design reliable data pipelines, connect warehouses and operational systems, and prepare reporting data for analytics. FRATCH matches you quickly and precisely with vetted, available freelancers suited to your ETL project.
Meet FRATCH Experts in Hamburg, who have recently used ETL
Dr Ing Over D.
Last position:
Pipeline Construction Manager at ILF
ETL 180 - Construction of 90 Km gas pipeline between Hamburg and Bremen. Supervision of welding, pipe lowering, coating, bending work and pressure testing. Quality assurance. Steel pipe with a diameter of 1,4 m and a wall thickness of 21mm.
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.
Shahram D.
Last position:
IT Project Manager & Consultant (Design and Implementation of EU Regulations) at Witt Group / Otto Group
- Planning, management and monitoring of the Corporate Responsibility Tech Enablement project for IT
- Design and implementation of the EUDR (EU Deforestation Regulation)
- Design and implementation of the Eco-Design Regulation
- Continuation of projects as part of the Corporate Responsibility strategy
- Definition and review of requirements (e.g. governance, success metrics) and, where necessary, analysis and resolution of problems
- Overall management, marketing, communication and quality assurance of the projects
- Creation of the project plan including timeline/roadmap, budget and resources
- Ensuring compliance with budget and deadlines
- Defining project management guidelines, methods and priorities
- Planning and tracking resources & efforts, also in cooperation with other IT departments
- Evaluation of projects and preparation of results (reporting to management)
- Identification and reduction of risks
- Regular communication with stakeholders
- Management of internal and external stakeholders and service providers (Jira, Confluence, backlog management, task tracking, Sharepoint, MS 365 Platform etc.)
- Development of standards and automation of processes
- Technical design and documentation of the Digital Product Passport
- Selection and evaluation of potential software providers
- Training and workshops on Osapiens
Label: Azure Cloud, Jira, Confluence, Power BI, SAP BW, AWS, Miro, Bee360, Draw.io, Sharepoint, MS 365 Platform, Trello, Osapiens, Naravero etc.
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
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
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
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
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.
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.
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
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
2.1 years (Germany: 5.2 years)

Positions per freelancer
14 (Germany: 11)

Top business areas
Information Technology, Business Intelligence, Product Development

Top industries
Information Technology, Transportation, Retail

Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
78% (Germany: 95%)
Master's degree or higher
56% (Germany: 68%)
Doctorate
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 29 Oct 2026.
Daily rate distribution
The chart shows how the daily rates of experts in this technology in Hamburg 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 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 29 Oct 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 (90%)
- Transportation (52%)
- Retail (52%)
- Manufacturing (48%)
- Banking and Finance (43%)
- Professional Services (43%)
- Telecommunication (43%)
- Education (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What ETL does
ETL means extract, transform, load. It moves data from operational sources into a target system, while cleaning, standardizing and validating it on the way. Companies use ETL to create dependable data foundations for reporting, business intelligence, analytics and machine learning.
Typical data flows
ETL specialists build pipelines for structured and semi-structured data from business applications, databases, files and APIs. Common deliverables include:
- Data extraction from ERP, CRM and operational databases
- Transformation rules for formats, types, quality and business logic
- Loading into data warehouses, marts or analytical stores
- Reconciliation, scheduling, monitoring and recovery processes
Tools and ecosystem
The right tool depends on data volume, latency, governance and the existing stack. Specialists may work with Informatica, Talend, Pentaho, SSIS, Apache NiFi, Apache Airflow or cloud services such as AWS Glue, Azure Data Factory and Google Cloud Dataflow. Strong SQL, Python, APIs, relational databases and warehouse design are usually part of the skill set.
When companies need specialists
Freelance ETL expertise is useful when a warehouse implementation needs experienced delivery, a legacy integration must be replaced or data quality blocks reporting. It also helps during mergers, ERP migrations and cloud modernization. In Hamburg, projects often connect logistics, manufacturing, commerce, finance and media data across distributed teams.
What quality looks like
Reliable ETL is more than a pipeline that runs once. Strong professionals define source-to-target mappings, test transformations, protect sensitive data and make failures visible. They document lineage, design repeatable loads and measure data quality so analysts can trust the result. Clear communication matters when business rules are complex or systems are maintained by different teams.
Working with ETL experts
Before engaging a specialist, clarify source systems, target architecture, refresh needs, ownership and acceptance criteria. Ask for examples of monitoring, reconciliation and migration work rather than only tool familiarity. Remote collaboration works well when access, documentation and decision paths are organized; Hamburg-based teams may benefit from occasional on-site workshops and German or English communication.
Frequently asked questions
Questions about ETL? Start with the answers below.
Companies use ETL to collect data from operational systems, apply business rules and load consistent information into a warehouse or reporting environment. It supports dashboards, financial reporting, customer analysis, regulatory processes and machine learning preparation.
ETL transforms data before loading it into the target system. ELT loads source data first and performs transformations inside a modern warehouse or lakehouse, which can be preferable when the target offers strong processing and storage capabilities.
A capable ETL professional usually combines SQL, data modeling, database administration and API integration skills. Knowledge of Python, cloud storage, orchestration, testing, access control and data governance is also valuable for production pipelines.
The need depends on source complexity, business rules, compliance requirements and the target architecture. A straightforward integration may suit a focused specialist, while a migration across many systems calls for someone who has handled lineage, reconciliation, performance and operational support.
Yes. ETL work is often well suited to remote collaboration because development, testing and documentation happen in shared environments. On-site workshops in Hamburg can still help when teams must map business rules, review legacy processes or coordinate access to internal systems.
Common ETL tools include Informatica, Talend, Pentaho, SSIS, Apache NiFi and cloud services such as AWS Glue or Azure Data Factory. The best choice depends on the company’s existing systems, deployment model, governance needs and team capabilities.
Review how the specialist handles data validation, duplicate records, rejected rows, retries, monitoring and reconciliation. High-quality ETL work includes clear mappings, automated tests, useful alerts, documentation and evidence that results remain accurate after source changes.
An ETL specialist should confirm the source systems, target model, refresh expectations, data ownership, security rules and acceptance criteria. It is also important to understand who approves business logic, how environments are accessed and who supports the pipelines after delivery.
The average hourly rate of freelancers in Hamburg, Germany who have used ETL in their recent projects is 105 €, which corresponds to a daily rate of about 837 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used ETL in their recent projects, 78% hold at least a Bachelor's degree, 56% hold at least a Master's degree, and 11% 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 2.1 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 (24%).
The most common industries among freelancers in Hamburg, Germany who have used ETL in their recent projects are Information Technology (90%), Transportation (52%), and Retail (52%).
The most common business areas among freelancers in Hamburg, Germany who have used ETL in their recent projects are Information Technology (95%), Business Intelligence (86%), and Product Development (81%).
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:
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