ETL Experts in Hamburg
in minutes from over 15,000 CVs with the power of AI.Hire experts who design ETL pipelines, clean and map source data, and keep batch and near-real-time loads stable across cloud and warehouse setups. Get fast, precise matching with vetted, available freelancers.
Meet FRATCH Experts in Hamburg, who have recently used ETL
Daniel Sedlack
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
Thorsten Boock
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 Bonfigt
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 Odesser
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)
Andreas Dietrich
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 Djafari
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 Hoven
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).
Nikolas Reichardt
Last position:
Data Protection Coordinator for Online-Services and Tracking-Technology at TelefĂłnica 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 TelefĂłnica 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 Sasi Nair Purayath
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 Otterbach
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 Hennings
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
Finn Hinrichsen
Last position:
Data Architecture at NTT Global Ltd.
Design and implementation of a big data energy reporting infrastructure for operational data from data centers in EMEA for aggregated client reporting and the energy efficiency register (EnEfG)
Integration of data from over 50 systems, including GridVis, Robotron, Niagara, ShowIT, and Salesforce
Steven Hotlen
Last position:
Freelance Agile Coach & Organizational Developer at Freelance Agile Coach & Organizational Developer
Matti Lange
Last position:
FullStack Developer at Ing DiBa GmbH
- Developed and extended Fiori UI5/WebApps for areas such as general ledger, asset accounting, and others.
- Implemented backend logic and OData services for a new S/4 HANA system
- Analyzed the current state of SAP GUI transactions and derived suitable standard and custom developments
- Designed technical concepts and implemented custom UI5 apps in the Fiori Launchpad
- Automated OPA tests, extended and adapted standard Fiori apps
- Documented and created developer manuals in the wiki
- Conducted code reviews, approved and delivered software units via GitLab and SAP transports
Daniel Pape
Last position:
Professional Development
Attained AWS Certified Cloud Practitioner certification.
Mastered Rust through self-study, including books, online courses, and open-source contributions.
Developed a serverless web application using AWS (RDS, Lambda, Polly, Amplify) and TypeScript/React/D3, managed infrastructure with CDK.
Continuously stayed updated with industry trends through self-education, webinars, and workshops, exploring Data Mesh and FastAPI.
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
1.9 years (Germany: 5.2 years)
Positions per freelancer
14 (Germany: 11)
Top business areas
Information Technology, Product Development, Business Intelligence
Top industries
Information Technology, Banking and Finance, Transportation
Certification focus areas
Information Technology, Business Intelligence, Operations
Bachelor's degree or higher
77% (Germany: 95%)
Master's degree or higher
46% (Germany: 66%)
Doctorate
8% (Germany: 11%)
Certifications per freelancer
4 (Germany: 3)
Most common languages
German, English, French
Speak two or more languages
94% (Germany: 96%)
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 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 30 Aug 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
About the technology
ETL Basics
ETL means extract, transform, load. It moves data from source systems into databases, warehouses, and reporting layers in a form teams can trust. Strong specialists make data pipelines predictable, auditable, and easy to maintain.
Typical Work
- Pull data from APIs, files, ERP systems, and SaaS tools
- Clean, validate, deduplicate, and standardize records
- Load curated data into warehouses and data marts
- Orchestrate batch jobs and dependency chains
- Monitor failures, freshness, and schema drift
Tools And Stack
ETL work often sits around Informatica, Talend, Azure Data Factory, SSIS, Airflow, and dbt-based workflows. Specialists also work with SQL, Python, Spark, and cloud storage because the pipeline is only as strong as the pieces around it. Good choices depend on volume, latency, and governance needs.
When Companies Hire
Companies bring in freelance ETL specialists when pipelines break, loads get slow, or source changes create bad reporting data. They are also useful for migrations, cloud warehouse rollouts, and cleanup after years of patchwork integrations. In Hamburg, this often fits logistics, trade, media, and finance teams that need reliable data flows without long hiring cycles.
What Strong ETL Pros Do
Strong professionals think about lineage, error handling, idempotency, and data quality, not only about moving rows. They document mappings clearly, keep transformations testable, and know when to split heavy logic between source, pipeline, and warehouse layers. They also work well with analysts, data owners, and security teams.
Local Collaboration
Hamburg projects often mix remote delivery with short on-site workshops. That works well when source systems, business rules, or compliance questions need direct input from local stakeholders. Good ETL specialists can switch between English and German working contexts without losing clarity.
Frequently asked questions
Questions about ETL? Start with the answers below.
ETL moves data from source systems, transforms it into a usable shape, and loads it into a target system such as a warehouse or data mart. It is the layer that turns raw operational data into something reporting, analytics, and downstream tools can use reliably. In practice, it covers extraction, business rules, validation, and delivery.
A strong ETL freelancer is useful when pipelines fail, data quality drops, or a migration needs hands-on cleanup. Companies also bring in specialists for cloud moves, new source integrations, and urgent fixes to reporting feeds. If your internal team is busy with product work, freelance help keeps the data flow moving.
ETL transforms data before it reaches the target system, while ELT loads first and transforms later inside the warehouse. ETL is often preferred when data needs strong cleansing, controlled business rules, or careful reshaping before it is stored. ELT can suit modern warehouses, but it does not remove the need for good transformation logic.
A capable ETL specialist usually works with SQL, Python, and at least one orchestration or integration tool. Knowledge of data modeling, testing, logging, and cloud warehouses helps a lot. Domain understanding matters too, because source systems and business rules shape the pipeline design.
The right ETL freelancer depends on the pipeline complexity, not just on the tool name. Simple file loads can be handled by a focused specialist, while large migrations or regulated data flows need someone who has dealt with lineage, error recovery, and schema changes. If the data is business-critical, choose someone who has shipped production pipelines before.
Yes, most ETL work can be done remotely if access, environments, and source owners are set up well. Hamburg teams often use a mix of remote delivery and short on-site sessions for workshops, source reviews, or handover meetings. That hybrid setup works well when business and technical stakeholders need to align quickly.
Look for clear pipeline design, good error handling, and practical testing habits in a ETL specialist. Strong work is easy to explain, easy to monitor, and easy to recover when a source changes. Ask for examples of data checks, mapping decisions, and how they handled failures in production.
Yes, ETL is still relevant because the warehouse does not solve extraction, cleansing, or business mapping on its own. Many teams still need controlled transformations before data reaches the warehouse, especially when source systems are messy or compliance rules are strict. In some setups, ETL and ELT work together.
The average hourly rate of freelancers in Hamburg, Germany who have used ETL in their recent projects is 99 €, which corresponds to a daily rate of about 795 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used ETL in their recent projects, 77% hold at least a Bachelor's degree, 46% hold at least a Master's degree, and 8% 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 1.9 years.
The most common languages among freelancers in Hamburg, Germany who have used ETL in their recent projects are German (100%), English (94%), and French (19%).
The most common industries among freelancers in Hamburg, Germany who have used ETL in their recent projects are Information Technology (94%), Banking and Finance (63%), and Transportation (63%).
The most common business areas among freelancers in Hamburg, Germany who have used ETL in their recent projects are Information Technology (100%), Product Development (94%), and Business Intelligence (88%).
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.
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