
Data Lake Experts in Hamburg
matched in minutes from over 15,000 CVsHire experts who design scalable data platforms, connect cloud storage with analytics tools, and build reliable ingestion pipelines. FRATCH matches you quickly and precisely with vetted, available freelancers who fit your Data Lake project.
Meet FRATCH Experts in Hamburg, who have recently used Data Lake
Oliver V.
Last position:
Interim Manager and Management Consultant at Self-employed
- Developed a market entry strategy for the claims division of an insurance services provider.
- Analyzed and optimized existing claims processes.
- Defined management metrics and KPIs to improve performance and efficiency.
- Advised management on market positioning and process digitalization.
- Led an IT team of 13 employees as part of an interim vacancy cover.
- Ensured stable IT operations and managed external IT service providers.
- Led regulatory projects, particularly the implementation of the DORA regulation.
- Prepared and supported an IT security audit.
- Change management and conflict moderation in a challenging transformation environment (FI migration).
Niko S.
Last position:
Developing Architect, Technical Lead "gridlytics" at HH Energienetze
- Building a data integration platform for high, medium, and low voltage assets for contextual analysis of time series with master data from the SCADA control system (IEC 60870 104), INIS, and SAP.
- Responsibility for the architecture and implementation of the solution, as well as sparring partner for the Product Owner.
- Use of Kotlin, Spring Boot, Maven, TimescaleDB, PostgreSQL, liquibase, Elements IoT, Docker, Kubernetes, Grafana, Python, jupyter, and various API gateways.
Christian F.
Last position:
Department Head (Interim) at Municipal utilities and transport company
- Defined and established the areas of responsibility
- Built a governance model for the department and its areas of responsibility
- IT strategy, project management, process management, and quality and sustainability management
- Developed a communications strategy for the group
- Created the IT strategy
- Designed templates, guidelines, and processes for consistent ways of working
- Recorded strategic guidelines and grouped ongoing projects – derived a roadmap for strategic planning
- Reviewed ongoing projects
- Prepared staffing calculations and capacity planning
- Defined job profiles
Bora D.
Last position:
Software Architect at DZ HYP AG
- Lead architect for an enterprise loan digitisation programme, coordinating 12 engineers across five workstreams and serving as final technical authority on system design.
- Cut critical application response times by 68% (display 17.3s → 5.6s; modification 11.8s → 5.0s) through targeted caching, OData query optimisation and lazy-loading refactoring; further optimisation in progress.
- Own production error triage, prioritisation and resolution across a multi-application portfolio supporting live lending operations.
- Design and implement SAP Fiori applications on SAP UI5, TypeScript and RAP, owning delivery from architecture and code through rollout and production support.
- Established C4 architecture documentation and decision records for the full programme, enabling faster onboarding and consistent cross-workstream design governance.
- Co-managed S/4HANA release cycle alongside primary responsibilities, coordinating directly with SAP support to resolve critical system issues across the portfolio.
Marcus B.
Last position:
Managing Director at Petermann Brandt GmbH
- Development and implementation of custom IT solutions for key customers.
- More than 15 years of experience in IT and project management, disciplinary leadership of up to 80 employees.
Enrique G.
Last position:
Security Architect at Capgemini
I implemented a Zero-Trust architecture for robust, military-grade maritime container mini data centers based on VMware & Tanzu to support containerized GIS workloads for ground forces. The main focus was on securing communications, workload protection, and data access in contested electronic battle environments affected by jamming, interception, signal manipulation, and constantly changing operational conditions. I designed and architected use cases so that every element of workload, identity, and system could continue to operate independently and securely even in degraded or disrupted scenarios. In parallel, I defined the enterprise and solution security architecture with LeanIX, Bizzdesign, and HOPEX as enterprise architecture, repository, and governance platforms to maintain architecture inventory, relationships, traceability, target pictures, and security governance in complex environments. For the architectural designs, I used Sparx Enterprise Architect to describe formal architecture views, interfaces, trust boundaries, and system architecture in both IT and OT environments. IriusRisk was used for threat modeling of the solution to identify architecture-driven risks, derive security requirements, and detect countermeasures and design gaps directly from the solution models. Risk and compliance management was supported with Archer. Architecture decisions, control gaps, and operational risks were translated into controlled governance and auditable compliance measures. For documentation, collaboration, and visual design, I used Confluence to maintain Architecture Decision Records, Security Blueprints, and workflows. I used Lucidchart and draw.io to create design artifacts tailored to stakeholders. I also defined OT security concepts with support from electrical and mechanical engineers in the areas of oil, vehicle onboard systems, rail, power plants, pharma, gas turbines, and nuclear technology. I created the end-to-end OT security strategy, starting with global policy, developed into standards and procedures, and finally aligned with Bell-LaPadula, Purdue Model, SABSA, TOGAF ADM, CENELEC 50701, IEC 62443, and NIST standards. In addition, I worked with engineering team leads to identify critical KBP assets and place them under protective measures that segmented SCADA, PLC, and HMI assets. I drove collaboration between Security, IT, and OT teams to create standardized workflows and use cases for the OT security solution catalog, while integrating Defense-in-Depth and Zero-Trust principles into operational environments. A key part of my work was integrating multidisciplinary engineering, security, and operations stakeholders into a unified security blueprinting strategy and ensuring that architecture, threat modeling, governance, and documentation were technically strong and operationally practical.
Kai P.
Last position:
Microsoft Azure Synapse and Power BI Developer at Consulting company / International insurance brokerage group
- Set up a Microsoft Azure Synapse data warehouse solution and developed ETL structures for an international insurance brokerage company
- Created tables, views, and pipelines in Azure Synapse
- Developed Power BI reports for controlling and tax reporting (BAB, IER)
- Technology stack: Microsoft Azure Synapse (Synapse SQL, Synapse Pipelines), Microsoft Power BI (Semantic model, reports), Azure DevOps (Boards, Repos)
- Development languages: DAX, M, SQL
Daniel P.
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.
Pouya F.
Last position:
Senior Project Manager at Circle K Deutschland GmbH
- Steering the rebranding of more than 40 applications, over 300 user accounts, and over 150 group mailboxes
- Coordinated with business units, key users, and technical providers for scheduling and implementation
- Analyzed 12 audit findings, developed a transition roadmap, and executed all measures on time
- Defined the new scope according to BSI guidelines
- Supported auditor selection process and prepared status reports for BSI
- Designed a new role model in SAP, aligned with management, and implemented it
- Created and delivered target-group-oriented training for responsible specialists
- Coordinated requirements with network architects, evaluated vendors, and supported contract conclusion
- Managed pre-staging of 300 laptops including configuration management
- Ensured accessibility of critical TotalEnergies applications via VNext / Workspace Access with authentication strategy using Yubikey and Microsoft Authenticator
- Supported go-live while meeting compatibility, security, and availability requirements
- Shifted from a big-bang to an iterative rollout model to reduce risk
- Defined an IT-side on/offboarding process for dual identities (TotalEnergies & Circle K)
- Ensured technical data integrity between Workday, Entra ID, and O365
- Implemented SAP-JDE cost center logic for ServiceNow orders
- Managed the change of company data in over 40 applications, including web portals, templates, and communication
- Led the SEPA mandate changeover for more than 2000 customers
- Oversaw SAP billing logic implementation through an external development team, including testing and go-live validation by 2025-01-01
- Collected IT-related auditor queries, coordinated with internal stakeholders, and prepared response documentation
- Planned and managed migration of 1200 TB of data between two M365 tenants
- Ensured data integrity, access continuity, and minimal downtime across OneDrive, Teams, SharePoint, and mailboxes
- Migrated data lake solutions (AWS & Databricks) in coordination with cloud architects and business units
- Coordinated testing, bug fixes, and go-live in close collaboration with internal teams and external partners
Anurag S.
Last position:
Data Analyst (SME) at Cognizant
- Build data pipelines for raw and curated data layers using AWS S3, Glue, Athena, and Lake Formation
- Establish CI/CD using GitHub Actions or GitLab CI with CodePipeline
- Prototype models into demo APIs packaged with Docker, versioned with Git, added basic tests with pytest, and assist deployments on AWS SageMaker Endpoint
- Perform exploratory data analysis and feature engineering with pandas and PySpark; track experiments in MLflow or Weights and Biases
- Design and execute A/B tests to optimize user engagement and drive data-informed decisions
Discover over 15,000 top freelancers
Statistics of experts using Data Lake
Aggregated from the professional profiles of matched freelancers.
Experience
18 years

Position duration
2.3 years (Germany: 2.4 years)

Positions per freelancer
13 (Germany: 10)

Top business areas
Information Technology, Business Intelligence, Project Management

Top industries
Information Technology, Banking and Finance, Energy

Certification focus areas
Information Technology, Project Management, Product Development
Bachelor's degree or higher
100% (Germany: 97%)
Master's degree or higher
63% (Germany: 70%)
Doctorate
25% (Germany: 18%)

Certifications per freelancer
6 (Germany: 4)

Most common languages
German, English, Spanish

Speak two or more languages
100% (Germany: 96%)
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 Data Lake
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.
Data Lake 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 (100%)
- Banking and Finance (50%)
- Energy (40%)
- Insurance (30%)
- Transportation (30%)
- Professional Services (30%)
- Government and Administration (30%)
- Retail (30%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
What a Data Lake provides
A Data Lake stores structured, semi-structured and unstructured data in its original form. It gives teams a central foundation for analytics, machine learning, reporting and operational insight without forcing every source into one rigid schema first. Good design keeps raw, processed and curated data clearly separated.
Core architecture
Strong specialists shape storage, ingestion and access around the company’s data volume, security needs and delivery goals. They define zones, metadata, catalogues, lineage and retention rules so data remains discoverable and usable. Common architectures run on cloud object storage, distributed processing engines and managed warehouse services.
- Design raw, refined and consumption layers
- Create batch and streaming ingestion paths
- Establish schemas, catalogues and lineage
- Apply identity, encryption and access controls
Ecosystem and tooling
A Data Lake often connects services such as Amazon S3, Microsoft Azure Data Lake Storage or Google Cloud Storage with Apache Spark, Apache Kafka, Databricks, Snowflake or cloud-native query engines. Specialists also work with Airflow, dbt, Terraform and observability tools. The right combination depends on latency, governance, interoperability and total operating effort.
When companies need specialists
Freelance expertise is useful when a company is replacing fragmented storage, moving analytics workloads to the cloud or preparing data for machine learning. It also helps when pipelines are unreliable, ownership is unclear or teams cannot trust the numbers in reports. Hamburg companies can combine remote delivery with on-site workshops when close collaboration matters.
- Consolidate data from business and operational systems
- Modernise legacy warehouses and ETL workflows
- Improve data quality, discoverability and cost control
- Prepare governed datasets for analytics and AI
What strong professionals deliver
A capable professional connects technical choices to measurable business use. They document data contracts, design for failure, test transformations and explain trade-offs clearly. They understand both platform operations and the needs of analysts, data scientists, security teams and business owners. Experience with German and English communication can support mixed Hamburg-based teams.
How projects succeed
Successful Data Lake work starts with clear ownership, priority use cases and an agreed definition of trusted data. The specialist should leave behind maintainable pipelines, useful documentation, monitoring and practical handover knowledge. Quality is visible in reliable refreshes, traceable data, controlled access and a platform that teams can actually use.
Frequently asked questions
Everything clients usually want to know about Data Lake, in one place.
A Data Lake is used to store data from many sources in its original or lightly processed form. Companies use it for analytics, machine learning, historical analysis, reporting and data sharing across teams.
A Data Lake accepts a broader range of formats and usually applies structure when data is read or prepared for a use case. A data warehouse is more structured and often better for governed business reporting, while many organisations use both in a connected architecture.
A Data Lake specialist should understand cloud storage, distributed processing, data modelling, orchestration and security. Useful adjacent skills include Apache Spark, Apache Kafka, SQL, Python, Terraform, data governance and observability.
A Data Lake project benefits from a professional who has handled the relevant sources, workload patterns and cloud environment before. The required depth depends on whether the assignment covers a focused pipeline, a migration or the design of a company-wide platform.
A Data Lake engagement can usually be delivered remotely because design, development, documentation and monitoring are digital tasks. On-site workshops in Hamburg may still help with stakeholder alignment, access decisions and handover, especially in complex programmes.
Look for a Data Lake professional who can explain architecture decisions in business terms and show how they handled data quality, lineage, security and failure recovery. Ask for examples of maintainable pipelines, clear documentation and monitoring rather than only a list of tools.
A Data Lake can become difficult to use when ownership, naming, metadata and access rules are left undefined. Uncontrolled storage costs, duplicated datasets and unreliable pipelines are common warning signs, so governance and operating practices should be designed from the start.
A Data Lake is valuable when a company has varied data sources, changing analytical needs or large volumes of raw information to retain. A smaller, well-defined reporting need may be better served by a warehouse or a simpler managed data store.
The average hourly rate of freelancers in Hamburg, Germany who have used Data Lake in their recent projects is 110 €, which corresponds to a daily rate of about 879 € based on an 8-hour working day.
Of the freelancers in Hamburg, Germany who have used Data Lake in their recent projects, 100% hold at least a Bachelor's degree, 63% hold at least a Master's degree, and 25% hold a doctorate.
On average, freelancers in Hamburg, Germany who have used Data Lake in their recent projects have 18 years of professional experience, with a single engagement typically lasting around 2.3 years.
The most common languages among freelancers in Hamburg, Germany who have used Data Lake in their recent projects are German (100%), English (100%), and Spanish (20%).
The most common industries among freelancers in Hamburg, Germany who have used Data Lake in their recent projects are Information Technology (100%), Banking and Finance (50%), and Energy (40%).
The most common business areas among freelancers in Hamburg, Germany who have used Data Lake in their recent projects are Information Technology (100%), Business Intelligence (90%), and Project Management (70%).
Main locations of FRATCH Experts, who have recently used Data Lake
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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