TimescaleDB Experts in Germany
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Meet FRATCH Experts in Germany, who have recently used TimescaleDB
Khalid El Mansouri
Last position:
Lead Architect & Developer at kem-consulting
Development of an agent-based governance platform for the automated assurance of EU AI Act compliance and ODA-compliant orchestration of AI services in complex enterprise environments.
Design and implementation of an agent-based "Mission Control" framework (Aletheia Conductor) for autonomous state monitoring and process control.
Development of "Compliance-as-Code" (CaC) solutions based on OPA/Rego for system-wide enforcement of regulatory guardrails.
Integration of TM Forum ODA standards (TMF630, TMF622, TMF642) to ensure interoperability and standardization.
Building a highly available event-driven architecture using Redpanda and CloudEvents v1.0 for near-real-time event processing.
Implementation of an audit-proof "Evidence Chain" through cryptographic linking of trace logs in preparation for automated audits.
Tech Stack: Java 21 (Quarkus Native), TypeScript (Next.js), Redpanda (Kafka API), CloudEvents v1.0, OPA (Open Policy Agent) & Rego, TimescaleDB, ZincSearch, Redis, TM Forum ODA, Git, GitHub, Clean Code Development, Like-C4.
Niko Schmuck
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.
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
Aishwarya Jain
Last position:
Intern - Software Development Department at Marsig mbH
- Supported development and testing of cloud-based maritime emission reporting software used for regulatory compliance
- Worked with structured data models and software requirements related to emission calculation workflows
- Assisted in software testing, documentation verification, and data consistency checks across reporting modules
- Collaborated with engineers to understand backend data flows and reporting logic
Jürgen Fey
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
Andreas Nolden
Last position:
Open Source Founder at Privatier
- AI-supported source code analysis
- AI image generation for a shirt shop
- AI-supported analysis of connected YouTube channels and commenting users
- AI-supported software prototyping
- Operation of a local AI environment
- 3D printing and scanning: development of a process to repair GfK parts using 3D-printed negative molds
The focus is on practical applications of new technologies, founding an open-source project for a yacht autopilot, as well as yacht refit and motorhome conversion.
Michael Rudl
Last position:
Software Developer
- Automatic report generation based on log data from the Senstar surveillance camera software, tracking access times of different camera systems
- Gathering requirements and translating them into a suitable technical solution
- Implementing Python scripts to read, process, and convert Senstar log data into PDF reports
- Reading configuration files to control the scripts
- Packaging the Python scripts and all dependencies into an executable .cmd for offline installation on Windows Server
- Providing a --help parameter to list and explain the script options
- Creating documentation for installing, configuring, and running the scripts
- Technical environment: Python 3, SQL, Senstar, Windows Server, Python setuptools, fpdf
Patrick Finkbeiner
Last position:
Backend Developer at Self-employed Freelancer
- Implemented backend functionality with Node.js and Strapi for a multi-tenant event management system
- Ensured a scalable and secure infrastructure using Node.js, Strapi and AWS
Nicholus Muwonge
Last position:
Founding Software Engineer at Trakrf
- Built out backend services in Golang, TimeScaleDB, and GCP, handling 10K+ reads concurrently.
- Migrated from RedPanda to a local service written in Golang, reducing latency and business cost.
- Added A/B testing using Open Replay to analyze customer behavior along with performance.
- Collaborated with marketing and firmware teams to successfully launch the MVP on time to pitch to potential customers.
- Streamlined testing and deployments by creating GitHub Actions to check for failing tests and lint errors, and deploying both staging and production releases efficiently.
Andreas Vilinski
Last position:
Senior Software Developer, Architect at ifm Solutions GmbH
- IoT platform to connect, transform and get actionable results
- Built a microservice observability solution to enhance developer and operations insights
- Did advanced performance optimizations in .NET code, DB and time series
- Provided architectural consultation for developer teams on performance, scalability, reliability and code quality
- Evaluated and built PoCs for new technologies including time series DBs and messaging platforms
- Technologies: C#/F#/Rust, InfluxDB, ClickHouse, Prometheus, Grafana, k6, RabbitMQ, EMQX, Docker, Kubernetes, Azure AKS
Discover over 15,000 top freelancers
Statistics of experts using TimescaleDB
Aggregated from the professional profiles of matched freelancers.
Experience
17 years
Position duration
1.4 years
Positions per freelancer
17
Top business areas
Information Technology, Product Development, Quality Assurance
Top industries
Information Technology, Banking and Finance, Energy
Certification focus areas
Information Technology, Product Development, Project Management
Bachelor's degree or higher
100%
Master's degree or higher
56%
Certifications per freelancer
3
Most common languages
English, German, French
Speak two or more languages
100%
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 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 TimescaleDB
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
Time-series data
TimescaleDB is built on PostgreSQL and is used for time-stamped data that arrives in a steady stream. It fits telemetry, monitoring, finance, IoT, and event tracking when teams need fast writes and simple SQL together.
What it adds
It keeps the PostgreSQL model but adds time-series features that make larger workloads easier to manage.
- Hypertables for partitioned time-series storage
- Compression for older data
- Continuous aggregates for rolling summaries
- Retention and downsampling policies
Stack fit
Strong specialists know PostgreSQL first, then TimescaleDB on top. They work with SQL, indexes, query plans, background jobs, and data retention rules. Many also handle Grafana, Docker, Kubernetes, and cloud PostgreSQL services when the database sits inside a wider platform.
When companies hire help
Teams bring in freelance expertise when ingest gets slow, queries start to lag, or the schema no longer fits the data shape. This is also common during migrations from plain PostgreSQL or from systems people still call Timescale. In Germany, remote work is common, but on-site sessions can help when the database is tied to internal infrastructure.
Delivery focus
A good specialist does more than install the extension. They shape retention, compression, and aggregate policies around the business question, not just the storage layer.
- Model metrics, sensor data, or events cleanly
- Improve query speed and ingest stability
- Set up backups, monitoring, and recovery paths
- Align PostgreSQL tuning with TimescaleDB behavior
Strong specialist traits
The best professionals explain trade-offs clearly and can read a slow query without guessing. They know when plain PostgreSQL is enough and when TimescaleDB features actually help. They leave systems simpler, with clear ownership for the next team.
Frequently asked questions
What clients ask us most about TimescaleDB — answered in short.
TimescaleDB is used for data that is tied to time, such as sensor readings, logs, financial ticks, product events, and monitoring data. It keeps the SQL model of PostgreSQL, so teams can query time-series data without leaving familiar tooling. That makes it a strong fit when storage and analysis need to live in one place.
TimescaleDB builds on PostgreSQL, so it feels familiar, but it adds features made for time-series workloads. Plain PostgreSQL can store time-stamped data well, but TimescaleDB adds hypertables, compression, and retention controls that reduce manual work. For many projects, the choice is less about replacement and more about extending PostgreSQL in the right direction.
A company usually brings in a TimescaleDB specialist when ingest slows down, queries become costly, or retention rules are hard to manage. It is also useful during migrations from another time-series system or from a PostgreSQL setup that has outgrown simple tables. A good specialist can spot whether the issue is schema design, indexing, or query shape.
A strong TimescaleDB professional should also be comfortable with PostgreSQL, SQL tuning, indexes, and query plans. Depending on the setup, skills in Docker, Kubernetes, Grafana, and cloud database services can matter too. If the data comes from devices or services, understanding the ingest path is just as important as the database itself.
A TimescaleDB freelancer should know what the data looks like, how fast it arrives, how long it must be kept, and which queries matter most. Without that, it is easy to optimize the wrong part of the system. Clear examples of dashboards, alerts, or reporting needs usually help more than a long technical brief.
Yes, most TimescaleDB work can be done remotely because it centers on SQL, schema design, and performance tuning. On-site collaboration helps when the database sits close to internal systems, devices, or security-sensitive infrastructure. In Germany, many teams mix remote work with a short on-site phase at the start.
Look for someone who explains why a design choice matters, not just what to change in TimescaleDB. Good signs are clear reasoning about hypertables, indexes, compression, and retention, plus a plan for testing before production changes. Strong specialists also leave documentation that the next team can use.
Yes, people often search for TimescaleDB, but many also shorten it to Timescale or refer to it as the Timescale extension for PostgreSQL. A good freelancer will understand all of these terms and know the product history behind them. That matters when you are screening experience from older project descriptions.
The average hourly rate of freelancers in Germany who have used TimescaleDB in their recent projects is 106 €, which corresponds to a daily rate of about 846 € based on an 8-hour working day.
Of the freelancers in Germany who have used TimescaleDB in their recent projects, 100% hold at least a Bachelor's degree and 56% hold at least a Master's degree.
On average, freelancers in Germany who have used TimescaleDB in their recent projects have 17 years of professional experience, with a single engagement typically lasting around 1.4 years.
The most common languages among freelancers in Germany who have used TimescaleDB in their recent projects are English (100%), German (90%), and French (20%).
The most common industries among freelancers in Germany who have used TimescaleDB in their recent projects are Information Technology (100%), Banking and Finance (90%), and Energy (70%).
The most common business areas among freelancers in Germany who have used TimescaleDB in their recent projects are Information Technology (100%), Product Development (100%), and Quality Assurance (70%).
Main locations of FRATCH Experts, who have recently used TimescaleDB
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
Get in touch with the FRATCH team and we will get back to you within 4 hours.
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Philipp Thomaschewski
FRATCH CEO
