Apache Iceberg Experts in Germany
, matched fast with vetted, available freelancersHire experts who design open table formats, manage schema evolution and optimize data lakes across Spark, Flink and cloud storage. Get precise matching with vetted, available freelancers who fit your Apache Iceberg project quickly.
Meet FRATCH Experts in Germany, who have recently used Apache Iceberg
Benito E.
Last position:
Cloud DevOps Engineer und Cloud Architekt at Energieversorgungsunternehmen (anonymisiert, NDA)
- Design and build of a fully isolated AWS offline environment with no outbound internet access for running a browser-based business application
- Design and implementation of a proxy and response service that terminates all external application calls inside the VPC and serves them from locally stored content; identification of the actual communication needs through measurement-based DNS query logging
- Creation of architecture designs and decision papers including a comparison of options (Application Load Balancer with Lambda and S3, reverse proxy on EC2, private API Gateway) assessed by operational effort, cost, and availability
- Transfer of the solution and operations documentation previously available only for Azure to an AWS target architecture, including reassignment of all services and operational processes
- Automated rollout as Infrastructure as Code (Terraform, CloudFormation) with CI deployment via GitHub Actions, plus setup of private DNS zones and an internal certificate chain for operation without internet access
- Creation of architecture, deployment, and operations documentation and handover to the customer
- Build-up of a private cloud platform on OpenStack at provider TelemaxX with Terraform, including FortiGate HA clusters, FortiManager, and Kubernetes
- Introduction of Policy as Code (Open Policy Agent, Conftest) as well as development of MCP servers (Model Context Protocol) to connect AI assistants to operations and project tools
Successes:
- Made the business application fully operable without internet access for the first time; the cause of the loading error was narrowed down systematically to missing CORS headers after the likely certificate issue was ruled out
- Fully transferred an existing Azure concept to AWS and replaced the manually created environment with a reproducible, CI-based rollout
Technology stack: AWS (VPC, Application Load Balancer, Lambda, S3, Route 53 private hosted zones and Resolver query logging, IAM, CloudWatch, EC2, CloudFormation), Infrastructure as Code (Terraform, CloudFormation, Remote State), CI/CD (GitHub Actions with OIDC, Azure DevOps Pipelines), OpenStack, FortiGate, FortiManager, Kubernetes, Policy as Code (Open Policy Agent, Conftest), offline and air-gap architectures, PKI & certificates (internal CA, TLS, CRL/OCSP), DNS, network segmentation, Linux, Windows Server, Python, Bash, PowerShell, YAML, JSON, architecture design & decision papers, documentation (Confluence, Markdown), Generative & Agentic AI (Model Context Protocol, Agentic AI Coding Tools)
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
Louis G.
Last position:
Freelance Solutions Architect and Machine Learning Engineer at Self-employed
- Develop and demonstrate solutions using GenAI software like langchain, vercel ai sdk, copilotkit
- Work with customers to understand their challenges and provide the best solutions based on open-source data products
- Build RAG and GraphRAG solutions using Neo4j, lancedb, and Postgres
- Deploy a LLMOps platform using kubernetes, terraform, helmfile, Arize phoenix, mlflow
- Architect and build data pipelines using dbt, Trino, Spark, Iceberg, Airflow, ArgoCD, terraform, kubernetes
- Delivered user-centred technical strategy for Agriculture 4.0 and precision livestock farming, helping my client secure funding from Bpifrance
- Delivered a prospecting tool for a leading French solar carport installer, using geospatial computing (GIS), speeding up the sales process
- Built digital twin architecture for solar carports and EV chargers, making real-time monitoring and smart charging possible
Michal B.
Last position:
Senior Golang Engineer at STACKIT / Schwarz Gruppe
- Responsible for software engineering and DevOps in the Data & AI Platform - Intake and PubSub projects at STACKIT, the cloud provider of the Schwarz Group.
- Technologies: Golang, Kubernetes, Kubernetes operators, OpenAPI v3, REST API, Azure DevOps, CI/CD, k6, Kafka, Strimzi, Apache Iceberg, RBAC, IAM, Terraform, Helm, Infrastructure automation, Load balancing, Traefik, ArgoCD, kuttl, Kyverno chainsaw, Kustomize, Velero, Prometheus, Grafana, Checkly / Playwright (TypeScript), NATS/Jetstream, WebSockets, gRPC, SSE
Jürgen F.
Last position:
AR/VR/XR Architect at Deutsche Telekom
- Defined a generic, universal system platform for XR (AR, VR) use cases as part of the European IPCEI initiative
- Evaluated available options for backend, streaming and client implementations
- Developed PoC implementations and conducted technical evaluation of potential components
- Led the development team and defined the target system architecture for a complete end-to-end solution
- Designed and integrated GenAI PoCs (LLM, time series, prediction, agents)
- Researched NeRFs and Gaussian Splatting for XR content creation and analyzed methods to measure and reduce system latencies
- Worked on GPU scheduling, CUDA and related topics
- Defined and implemented backoffice and end user dashboards using Grafana and Superset
- Used Jaeger tracing to analyze specific events
- Defined a GenAI-based automatic alerting feature for specific events and event clusters with KPI values
- Integrated AR/VR/XR IoT devices
- Collaborated with business development and UX teams in a parallel design thinking track to align technical and customer journey scopes
- Integrated the new services and platform into existing telco environments and analyzed tools like Camara for partial integration and handover scenarios
Philipp B.
Last position:
Instructor at Spark Rockstars Academy
- Help developers with individual live coaching to become pro-level Apache Spark engineers
- Organize and host multi-day, tailored Apache Spark workshops for development teams
- Create educational technical content on a self-hosted blog, YouTube, and social media
Pappu P.
Last position:
Senior Cloud Consultant (AWS Services and Consulting) at devoteam GmbH
- Developed automated ETL pipelines with AWS Glue and Athena to ensure consistent data quality and governance requirements
- Implemented validation, anonymization, and encryption measures for data in compliance with GDPR
- Optimized cloud costs by introducing FinOps practices and increased transparency for business units
- Monitored performance, performed root cause analyses, and ensured adherence to SLAs
- Supported data and solution architects in building scalable data models for ML and analytics scenarios
Max R.
Last position:
Senior AI Engineer and Technical Advisor (Freelancer) at dialpad
Serving as AI technical advisor to Dialpad's Telephony Engineering division while building AI products hands-on. Currently developing MCP-based tooling for AI text and voice agents: agent authoring, integrations and adoption of existing agents, shared authentication and API contracts, and durable workflow state. This includes text and voice tests that evaluate agent behavior, latency and task completion.
In parallel, helping Dialpad's engineers adopt QualityLayer and use Claude Code and Codex effectively. This ongoing work covers context management for large codebases, reusable plan-implement-test-review workflows connected to CI/CD, playbooks, hands-on workshops, labs and pair programming.
Technologies: AI Agent Products (Text & Voice Agents, MCP, LLMs, Python, TypeScript), Agent Tooling (Authoring, Integrations, OAuth, Durable State), Quality & Evaluation (Text & Voice Tests, Evals, Regression, Traces), Agentic Engineering (Claude Code, Codex, QualityLayer, Hooks, Prompts), Context Engineering (RAG, Vector Stores, Codebase Embeddings), Software Delivery (CI/CD Integration, Agentic Loops, PR Automation), Enablement & Coaching (Workshops, Hands-On Labs, Pair Programming)
Discover over 15,000 top freelancers
Statistics of experts using Apache Iceberg
Aggregated from the professional profiles of matched freelancers.
Experience
15 years
Position duration
1.3 years
Positions per freelancer
17
Top business areas
Information Technology, Business Intelligence, Product Development
Top industries
Information Technology, Telecommunication, Banking and Finance
Certification focus areas
Information Technology, Business Intelligence, Research and Development
Bachelor's degree or higher
100%
Master's degree or higher
71%
Certifications per freelancer
4
Most common languages
German, English, Spanish
Speak two or more languages
100%
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 Germany 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 Germany using Apache Iceberg
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.
Apache Iceberg 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%)
- Telecommunication (88%)
- Banking and Finance (63%)
- Media and Entertainment (63%)
- Energy (50%)
- Professional Services (50%)
- Automotive (38%)
- Retail (38%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Open table format
Apache Iceberg is an open table format for large analytic datasets stored in object storage. It adds reliable transactions, snapshots, schema evolution and hidden partitioning to data lakes. Teams use it to create lakehouse foundations that remain queryable across different processing engines and cloud environments.
Core workloads
Iceberg supports data platforms for reporting, machine learning, streaming analytics and operational data sharing. It helps teams manage constantly changing tables without rewriting entire datasets or tying storage to one engine.
- Build reliable lakehouse tables
- Support batch and streaming ingestion
- Maintain historical snapshots and time travel
- Expose governed data to multiple query engines
Ecosystem and tooling
Strong specialists work across Apache Spark, Apache Flink, Trino, Presto, Hive and engines such as Snowflake or Dremio. They connect Iceberg tables to object storage including Amazon S3, Azure Data Lake Storage and Google Cloud Storage. Catalog choices such as REST, Hive, Nessie and AWS Glue affect discovery, governance and interoperability.
When expertise matters
Companies bring in freelance expertise when a data lake has become difficult to govern, query or evolve. This is common during a lakehouse migration, a catalog redesign, a platform consolidation or a move from proprietary table formats. In Germany, specialists may support distributed teams remotely or collaborate on-site with data, security and platform groups.
- Plan migrations from Delta Lake or Apache Hudi
- Diagnose slow scans, small files and poor partition layouts
- Define retention, compaction and snapshot procedures
Delivery and operations
An Iceberg project includes table design, catalog integration, ingestion pipelines, access controls and observability. Professionals also plan compaction, data expiration, snapshot cleanup and safe concurrent writes. They should document recovery procedures and validate behavior across every engine that reads or writes the tables.
Signs of quality
A strong specialist understands Iceberg internals as well as the surrounding data platform. They can explain partition evolution, manifest management, isolation and schema compatibility in practical terms. Look for evidence of production work with changing workloads, cloud storage, security requirements and cross-engine testing rather than isolated proof-of-concept work.
For German companies, clear communication matters when specialists coordinate with local stakeholders, remote teams and international data groups. The best professionals leave behind tested pipelines, understandable operating guidance and a design that avoids unnecessary dependence on one vendor.
Frequently asked questions
Not sure where to start with Apache Iceberg? These answers cover the essentials.
Apache Iceberg is used to manage large analytical tables in data lakes and lakehouse platforms. It supports reliable writes, schema changes, snapshots, time travel and querying through several processing engines.
Apache Iceberg is often compared with Delta Lake and Apache Hudi because all three add table management to object-storage data lakes. Iceberg is known for an open specification, broad engine interoperability and partition evolution, while the best choice depends on existing tools, governance needs and operating expertise.
A strong Apache Iceberg specialist should also understand Spark, Flink or Trino, object storage, catalog services and data orchestration. Knowledge of streaming ingestion, security, data quality, file formats such as Parquet and cloud infrastructure is equally useful.
The required depth depends on the scope. A small table or query integration may need focused Iceberg knowledge, while a migration or shared lakehouse requires experience with catalogs, concurrent writes, compaction, access controls and recovery planning.
Yes. Apache Iceberg work is well suited to remote collaboration because table layouts, pipelines and infrastructure can be reviewed through version-controlled code and shared documentation. On-site sessions can still help when specialists need to align closely with German data, security or platform teams.
Apache Iceberg can use object storage such as Amazon S3, Azure Data Lake Storage and Google Cloud Storage. It also integrates with catalog and query services from several vendors, so the specialist should verify compatibility, authentication and operational ownership before implementation.
Ask how the professional handles schema evolution, partition changes, manifest growth, snapshot expiration and small-file problems. A credible Apache Iceberg specialist can explain trade-offs, show how they test multiple engines and connect technical decisions to reliability, cost control and governance.
A typical Apache Iceberg engagement should produce table and catalog designs, ingestion or migration pipelines, access policies and operating documentation. It should also include tests for concurrent writes, schema changes, recovery, query behavior and maintenance workflows.
The average hourly rate of freelancers in Germany who have used Apache Iceberg in their recent projects is 106 €, which corresponds to a daily rate of about 845 € based on an 8-hour working day.
Of the freelancers in Germany who have used Apache Iceberg in their recent projects, 100% hold at least a Bachelor's degree and 71% hold at least a Master's degree.
On average, freelancers in Germany who have used Apache Iceberg in their recent projects have 15 years of professional experience, with a single engagement typically lasting around 1.3 years.
The most common languages among freelancers in Germany who have used Apache Iceberg in their recent projects are German (100%), English (100%), and Spanish (38%).
The most common industries among freelancers in Germany who have used Apache Iceberg in their recent projects are Information Technology (100%), Telecommunication (88%), and Banking and Finance (63%).
The most common business areas among freelancers in Germany who have used Apache Iceberg in their recent projects are Information Technology (100%), Business Intelligence (88%), and Product Development (88%).
Main locations of FRATCH Experts, who have recently used Apache Iceberg
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.
Berlin Hamburg Munich Cologne Frankfurt Stuttgart Dusseldorf Leipzig Dortmund Essen Bremen Dresden Hanover Nuremberg Request a free demo
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