TimescaleDB Experts in Germany
, matched in minutes from over 15,000 CVsHire experts who design time-series data models, optimize PostgreSQL workloads and connect TimescaleDB with observability, IoT or financial systems. FRATCH matches you quickly with vetted, available freelancers who fit your technical needs.
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.
Mirco S.
Last position:
Co-Founder, CTO & Managing Director at Sourcera.ai (Venture Build)
Full overall responsibility: product, technology, compliance and go-to-market
- Delivered an enterprise MVP in 54 days, exceeding scope and schedule.
- Won a 250k € ARR anchor customer and built a sustainable enterprise sales pipeline in the first quarter.
- Paid PoCs with Zalando (35k €) and tesa (26k €), validating product-market fit with Tier-1 enterprise customers.
- Initiated ISO-27001 and TISAX certification processes. Left when the venture entered its next organizational phase.
Michael R.
Last position:
Software Developer
- Automatic creation of reports based on log data from the Senstar surveillance camera software regarding access times for various camera systems
- Gathering requirements and translating them into a suitable technological solution
- Implementation of 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 as an executable cmd. Offline installation on Windows Server
- Providing –help parameters to list and explain the script parameters
- Creation of documentation for installing, configuring, and operating the scripts
- Technical environment: Python 3, SQL, Senstar, Windows Server, Python Setuptools, fpdf
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.
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 improve insights for developers and operations teams
- Made advanced performance optimizations in .NET code, databases and time series
- Provided architectural advice to developer teams on performance, scalability, reliability and code quality
- Evaluated and built PoCs for new technologies, including time series databases and messaging platforms
- Technologies: C#/F#/Rust, InfluxDB, ClickHouse, Prometheus, Grafana, k6, RabbitMQ, EMQX, Docker, Kubernetes, Azure AKS
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.
Discover over 15,000 top freelancers
Statistics of experts using TimescaleDB
Aggregated from the professional profiles of matched freelancers.
Experience
16 years
Position duration
1.8 years
Positions per freelancer
15
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 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 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 29 Oct 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 (75%)
- Energy (67%)
- Manufacturing (67%)
- Automotive (42%)
- Transportation (42%)
- Healthcare (33%)
- Retail (33%)
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 purpose-built features for time-series data. It keeps standard SQL, transactions and PostgreSQL compatibility while organizing large streams of timestamped events for efficient storage and analysis. Companies use it for metrics, sensor readings, market data, application events and operational histories.
Core capabilities
Hypertables divide time-series data into manageable chunks, helping queries and retention operations remain practical as data grows. Continuous aggregates precompute recurring summaries, while compression and retention policies control storage and lifecycle management. SQL support makes it possible to combine measurements with relational business data in one system.
Ecosystem and tooling
Strong professionals work across the TimescaleDB extension, PostgreSQL administration and the wider observability and data stack.
- Design hypertables, indexes and partitioning strategies
- Build continuous aggregates, retention and compression policies
- Connect TimescaleDB with Grafana, Prometheus or OpenTelemetry
- Integrate applications through SQL, REST services and PostgreSQL drivers
Typical systems
TimescaleDB appears in industrial IoT platforms, energy monitoring, logistics tracking and connected products. It also supports infrastructure monitoring, application performance data, financial time series and scientific measurements. Its PostgreSQL foundation suits systems that need both fast time-based analysis and joins with users, assets, accounts or other business records.
When expertise matters
Companies often bring in freelance specialists when a prototype must become a reliable production service, or when queries and ingestion slow down under growing event volumes. Expertise is also useful during migrations from PostgreSQL tables, InfluxDB or other time-series databases, and when retention, backup, replication or cloud deployment needs careful planning. In Germany, remote collaboration is common, while regulated or industrial projects may require occasional on-site work and clear German or English communication.
What strong specialists deliver
Good TimescaleDB professionals start with access patterns, event cardinality, retention needs and operational constraints rather than applying a generic schema. They validate query plans, ingestion behavior and aggregate refresh strategies with realistic workloads. They also document PostgreSQL settings, monitoring, failure recovery and data ownership so the system remains understandable after handover.
Frequently asked questions
What clients ask us most about TimescaleDB — answered in short.
TimescaleDB is used to store and query timestamped data such as sensor readings, infrastructure metrics, application events, financial prices and device telemetry. It is particularly useful when a system needs time-series performance together with PostgreSQL transactions, SQL and relational joins.
TimescaleDB builds on PostgreSQL, so teams can use familiar SQL, relational constraints and joins with business data. InfluxDB is designed specifically around time-series workloads and may suit a narrower metrics architecture, while the better choice depends on query patterns, existing skills and operational requirements.
A strong TimescaleDB specialist should understand PostgreSQL schema design, indexing, query plans, backups and replication. Useful adjacent skills include Grafana, Prometheus, OpenTelemetry, cloud databases, streaming ingestion and application integration through PostgreSQL drivers.
The right level depends on the system’s ingestion rate, retention policy, query complexity and reliability requirements. A small reporting workload may need solid PostgreSQL knowledge, while a production telemetry system benefits from a TimescaleDB professional who has handled partitioning, continuous aggregates, compression and operational incidents.
TimescaleDB is designed to extend PostgreSQL rather than replace its core database model. Existing applications can often keep using SQL and standard drivers, but schemas, indexes, aggregation queries and maintenance policies may need adjustments for time-series behavior.
Yes. TimescaleDB projects can usually be handled remotely through shared repositories, secure database access, documentation and structured reviews. On-site collaboration may still help for industrial systems, sensitive environments or teams that require German-language workshops alongside English technical work.
Ask how the specialist would model hypertables, choose indexes, manage retention and verify query performance for your access patterns. A capable TimescaleDB professional should explain trade-offs clearly, test with representative data and cover monitoring, backups, recovery and handover documentation.
TimescaleDB is a strong fit when timestamped records arrive continuously and the system needs efficient time-window queries, rollups or retention controls. A plain PostgreSQL schema may be sufficient for modest volumes or simple reporting, while a dedicated analytics warehouse may be more suitable for broad historical analysis across many sources.
The average hourly rate of freelancers in Germany who have used TimescaleDB in their recent projects is 117 €, which corresponds to a daily rate of about 937 € 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 1.8 years.
The most common languages among freelancers in Germany who have used TimescaleDB in their recent projects are English (100%), German (92%), and French (17%).
The most common industries among freelancers in Germany who have used TimescaleDB in their recent projects are Information Technology (100%), Banking and Finance (75%), and Energy (67%).
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 (67%).
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
