Apache Iceberg Experts in Germany
, matched fast with vetted and available freelancersHire experts who design open table formats, manage schema evolution and optimize lakehouse workloads across Spark, Trino and cloud storage. FRATCH finds a precise match quickly from vetted, available freelancers.
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
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:
Cloud (AWS) | AI | DevOps | Data at Boehringer Ingelheim
- Architected and implemented an enterprise-grade AI Agent Platform leveraging Retrieval Augmented Generation (RAG) architecture to enhance clinical data insights.
- Established robust CI/CD pipelines for LLM applications using CDK and Jenkins, significantly reducing deployment times.
- Implemented comprehensive observability solutions that increased agent reliability across pharmaceutical environments.
- Designed scalable AI workflows with advanced orchestration that optimized context handling for enterprise data sources.
- Technologies: AI Agents (LangChain, LangGraph, Bedrock, Smolagents, Streamlit); LLM Operations (Tracing, Testing, Evaluation, LangSmith, LangFuse); Infrastructure-As-Code (AWS CDK, Terraform, Typescript, Jenkins); Vectors, Embeddings, RAG (OpenSearch, pgvector, PDF Extraction)
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
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, Energy
Certification focus areas
Information Technology, Business Intelligence, Operations
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 19 Sep 2026.
Daily rate distribution
The chart shows how the daily rates of freelancers in this technology in Germany 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 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 19 Sep 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 (75%)
- Energy (63%)
- Banking and Finance (63%)
- Media and Entertainment (63%)
- Automotive (38%)
- Manufacturing (38%)
- Professional Services (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 or distributed file systems. It adds reliable table metadata, transactions, snapshots and schema evolution to data lakes. Teams use it to make data lake tables behave more like managed database tables while keeping storage open and flexible.
Lakehouse workloads
Iceberg supports batch analytics, streaming ingestion and incremental processing over formats such as Parquet, Avro and ORC. It is used for customer analytics, reporting, machine learning data and operational data products. Snapshot isolation and time travel help teams inspect, reproduce and safely roll back table changes.
Ecosystem and tooling
Apache Iceberg works across major processing engines and catalog services rather than locking a company to one query system. Strong specialists typically connect it with Spark, Trino, Flink, Hive, Presto or Impala, plus catalogs such as AWS Glue, Nessie, JDBC and REST. They also understand object storage, orchestration and data quality controls.
- Define table layouts, partition strategies and sort orders
- Configure catalogs, namespaces and access patterns
- Integrate batch and streaming pipelines
- Manage compaction, snapshots and metadata maintenance
When expertise matters
Companies often bring in freelance Iceberg expertise when a data lake has grown difficult to govern, when workloads need reliable concurrent writes, or when several query engines must share the same tables. Specialists can guide migrations from Hive tables or proprietary lakehouse formats, establish operating standards and support teams in Germany through remote or on-site collaboration.
Delivery and operations
A capable professional turns a design into maintainable pipelines and documented operating practices. Typical deliverables include migration plans, catalog configuration, ingestion jobs, table specifications, retention policies and monitoring. They assess partition evolution, small-file handling, manifest growth, snapshot expiration and the effect of object-store behavior on performance.
What good looks like
Quality work with Iceberg combines data modeling, distributed systems knowledge and careful operational judgment. Look for experience with failure recovery, concurrent writers, schema compatibility, security boundaries and query planning rather than familiarity with configuration alone. The right specialist explains trade-offs clearly and validates results with realistic workloads, lineage and data-quality checks.
Frequently asked questions
Not sure where to start with Apache Iceberg? These answers cover the essentials.
Apache Iceberg is used to manage large analytic tables in data lakes and lakehouse environments. It supports reliable updates, schema changes, partition evolution, time travel and concurrent access across engines such as Spark, Flink and Trino.
Apache Iceberg is an open table format designed for broad engine and catalog interoperability. Delta Lake and Apache Hudi offer overlapping table-management capabilities, so the right choice depends on existing engines, governance needs, write patterns, catalog strategy and openness requirements.
A strong Apache Iceberg specialist usually understands Spark, Flink, Trino or another query engine, along with Parquet, object storage, SQL and data orchestration. Catalogs, streaming design, access control, observability and data-quality practices are also valuable.
The required depth depends on the work. A migration or production redesign needs practical experience with catalogs, snapshots, partitioning, compaction and recovery, while a contained integration may suit a professional with narrower Iceberg exposure and strong data-platform fundamentals.
Apache Iceberg projects can usually be delivered remotely when repositories, environments and documentation are accessible. On-site workshops may help with architecture decisions or stakeholder alignment, while German or English language skills should match the project team and its documentation.
Bring in an Apache Iceberg freelancer when a data lake needs dependable table transactions, shared access across engines, a migration from another format or better control of metadata and storage. External expertise is also useful before a pilot becomes a production platform.
Ask how the professional handles schema changes, partition evolution, concurrent writes, snapshot retention, small files and failed jobs. Good Apache Iceberg work includes clear table and catalog design, repeatable tests, operational documentation and evidence from realistic workloads.
An Apache Iceberg project should define its storage layout, catalog, processing engines, ownership model and retention rules first. Teams should also agree on write patterns, data-quality checks, security requirements, recovery procedures and how table changes will be reviewed.
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 (75%), and Energy (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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