TimescaleDB Expert in Germany
for time-series systems, matched in minutes with vetted freelancersHire experts who design time-series data models, optimize hypertables and continuous aggregates, and connect TimescaleDB with PostgreSQL, Grafana and cloud services. FRATCH finds a precise match quickly among vetted, available freelancers.
Meet FRATCH Experts in Germany, who have recently used TimescaleDB
Khalid E.
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.
Jens R.
Last position:
Platform Architect & Senior Developer at Direct client, industrial measurement technology, medium-sized company
- Technical leadership across hardware, firmware, and software teams; scope: hardware/firmware team (4 people) and leadership group (5 people)
- Consolidated and documented a product family that had grown over more than 15 years and aligned it with CRA compliance — from the bare-metal I/O module to the cloud interface.
- Provided the most important customer product with the essential requirements and architecture documentation within two months — for a firmware landscape that had grown over more than 15 years. It now supports the customer’s modernization strategy.
- Established a monthly reporting line to the supervisory board and executive board within three months: nine meetings since 12/2025. The report itself is versioned and built from the CI pipeline; it is based on automatically collected activity and release data instead of assessments.
- Built a container-based CI/CD infrastructure from scratch: cross-compilation, host tests, and documentation builds in one continuous pipeline.
- Introduced declarative QA gates for DevOps and development artifacts — from the start using lefthook instead of pre-commit, executed in a dedicated container image.
Technologies used: arc42, req42, tpo42, docToolchain, PlantUML, ArchiMate, C4 model, ADR, C, C++ (GTest), CMake, Bare Metal (ARM Cortex-M3/M7), OCI containers, Jenkins, lefthook, Prometheus, Grafana, SBOM, CRA, OPC, SCADA, PLC integration, IPv6 migration, Zero Trust, Sociocracy 3.0, Cynefin
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.
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
Aishwarya J.
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 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
Andreas N.
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 R.
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 F.
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 M.
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 V.
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
16 years
Position duration
1.4 years
Positions per freelancer
16
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
90%
Master's degree or higher
50%
Certifications per freelancer
4
Most common languages
English, German, French
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 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 19 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
TimescaleDB 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 (82%)
- Energy (73%)
- Manufacturing (64%)
- Transportation (45%)
- Automotive (36%)
- Telecommunication (36%)
- Tourism (36%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Time-series foundation
TimescaleDB is an open-source extension for PostgreSQL that adds capabilities for storing and analyzing time-series data. It keeps PostgreSQL compatibility while optimizing workloads with timestamps, measurements and other dimensions. Teams use it for metrics, sensor readings, financial data, application events and industrial telemetry.
Core architecture
A strong TimescaleDB design starts with a clear data model and an appropriate partitioning strategy. Hypertables organize large time-series tables, while chunks support efficient retention and query planning. Professionals also work with indexes, compression, retention policies and data access controls without losing PostgreSQL features.
Queries and analytics
TimescaleDB supports SQL-based analysis across recent and historical data. Continuous aggregates precompute recurring summaries, and functions such as time_bucket help group observations into useful intervals. Experts tune joins, filters and aggregates for dashboards, reports, alerts and operational workflows that need current data.
Ecosystem and tooling
TimescaleDB fits into a broad PostgreSQL and observability ecosystem. Specialists commonly connect it with Grafana, Prometheus, Kafka, Python services, REST APIs and cloud storage, depending on the architecture.
- Design hypertables and time-series schemas
- Build continuous aggregates and retention policies
- Connect dashboards, ingestion pipelines and application services
- Monitor query performance and storage behavior
When expertise matters
Companies bring in freelance TimescaleDB experts when ingestion grows, dashboards become slow or a PostgreSQL workload needs time-series features. They may also need help migrating from standard PostgreSQL tables, InfluxDB or another telemetry store. In Germany, collaboration may involve remote delivery, on-site workshops or coordination with local data and platform teams.
What good looks like
Strong professionals understand both PostgreSQL fundamentals and the behavior of high-volume time-series workloads. They validate data retention, late-arriving events, query patterns, backups and recovery before recommending changes. They explain trade-offs clearly and leave behind tested schemas, migration plans, monitoring rules and maintainable SQL.
Frequently asked questions
What clients ask us most about TimescaleDB — answered in short.
TimescaleDB is used to store and analyze time-stamped data such as application metrics, IoT readings, market observations and industrial telemetry. It combines PostgreSQL compatibility with features designed for fast ingestion, retention and time-based aggregation.
TimescaleDB is often chosen when a project needs PostgreSQL, SQL joins, relational constraints or an existing PostgreSQL ecosystem. InfluxDB can be a strong fit for focused metrics workloads, so the right choice depends on query patterns, data relationships, operations and team skills.
A strong TimescaleDB specialist usually brings PostgreSQL administration, SQL performance tuning and data modeling skills. Experience with Grafana, Kafka, Prometheus, cloud infrastructure and application languages such as Python can also be valuable.
The required depth depends on ingestion volume, retention rules, query complexity and operational risk. For a production migration or performance issue, choose a TimescaleDB professional who can demonstrate work with hypertables, continuous aggregates, backups and workload-specific tuning.
TimescaleDB is built as a PostgreSQL extension, so many applications can continue using familiar drivers, SQL and tooling. A specialist should still check extension compatibility, migration behavior, indexing, transaction patterns and the way the application queries time-series data.
Yes, much of the TimescaleDB work can be handled remotely through shared repositories, secure database access, documented runbooks and video sessions. On-site workshops may help when teams need architecture alignment, operational handover or coordination across German locations.
Ask how the professional would model dimensions, choose chunk settings, handle late data and test continuous aggregates. A capable TimescaleDB expert should explain measurable query and storage trade-offs, review execution plans and include recovery and monitoring in the design.
Bring in a TimescaleDB freelancer when time-series queries slow down, ingestion pipelines become unreliable, retention becomes difficult or a migration needs careful planning. External expertise is also useful when an internal PostgreSQL team needs a focused review of architecture, performance or production readiness.
The average hourly rate of freelancers in Germany who have used TimescaleDB in their recent projects is 111 €, which corresponds to a daily rate of about 890 € based on an 8-hour working day.
Of the freelancers in Germany who have used TimescaleDB in their recent projects, 90% hold at least a Bachelor's degree and 50% hold at least a Master's degree.
On average, freelancers in Germany who have used TimescaleDB in their recent projects have 16 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 (91%), and French (18%).
The most common industries among freelancers in Germany who have used TimescaleDB in their recent projects are Information Technology (100%), Banking and Finance (82%), and Energy (73%).
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 (73%).
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
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Philipp Thomaschewski
FRATCH CEO
