
Apache Superset Expert in Germany
with fast, precise AI matching and vetted, available freelancersHire experts who create trusted dashboards, semantic metrics and self-service analytics with Apache Superset, SQL and modern data warehouses. FRATCH connects you with vetted, available freelancers through fast, precise AI matching.
Meet FRATCH Experts in Germany, who have recently used Apache Superset
Adrian K.
Last position:
Senior Advisor, Process Governance & Transformation at MOIA GmbH
- Ran a group-wide steering committee to set strategic direction for a turnaround program. Planned delivery to secure go-to-market and investor milestones
- Prepared the project structure and supplier management process for an ACQ.4 Automotive SPICE audit. Built dry runs and compiled evidence with the team, resulting in a successful CL2 assessment
- Synchronized Automotive SPICE activities with the organization's SAFe rollout by screening base practices and agile artifacts for overlap. Avoided approximately 30% duplicate effort
Dmitry P.
Last position:
Freelance Digital Marketing Analyst at Freelance
- Marketing Strategy: Lead the end-to-end analysis and evaluation of cross-channel marketing campaigns across the entire Customer Journey. My focus is identifying optimization potential and deriving clear, actionable recommendations that drive measurable business impact.
- Data Science & AI: Advanced predictive modeling (Churn, LTV), market basket analysis, clustering, and real-time AI-powered audience discovery utilizing RAG/LLMs.
- Marketing Analytics & Measurement: End-to-end attribution analysis, Marketing Mix Modeling (MMM), audience segmentation, conversion path analysis, and A/B testing across all major platforms.
- Data Engineering & Reporting: Designing and managing robust, multi-platform data pipelines (BigQuery, GCP) for data consolidation, automated dashboard generation, and critical API integrations.
Nitin B.
Last position:
Financial Analytics Lead at Independent Consultant
Led FP&A tech transformation for a 9-figure business – from resolving legacy technical debt to leading AI-native EPM implementation
- Driving end-to-end FP&A transformation, from architecture redesign through EPM tool selection to rollout
- Ran evaluation of 12+ EPM platforms, from vendor negotiation to selection framework tied to long-term planning
- Diagnosed constraints in financial planning architecture, presented findings to the CFO, and secured executive mandate to redesign FP&A infrastructure from the ground up
Bidya B.
Last position:
Product Manager – Payments & Platform at Pipedrive
CRM and revenue platform managing billing and subscription workflows.
- Scaled payments infrastructure across data products, direct debit expansion and automated abuse prevention, generating $416K in annualized operational savings ($8K/week) by eliminating redundant gateway calls.
- Owned backlog and sprint execution for autonomous checkout abuse detection pipelines, designing real-time risk guardrails and velocity heuristics that blocked card testing attacks.
- Architected enterprise billing migrator user stories and data reconciliation mechanisms, achieving zero-downtime subscription state transitions and cutting $60K in infrastructure overhead.
- Expanded European direct debit (SEPA) payment capabilities, managing cross-squad API dependencies and automated webhook error-handling to eliminate checkout friction.
Özlem A.
Last position:
Adjunct Lecturer at Whitecliffe University of Applied Sciences
- Teaching Introduction to Data Science Course in MBA Programme
Gyan P.
Last position:
Senior DevOps & Cloud Architect, Head of Infrastructure at Bosch
- Azure Landing Zone architecture: Design and implement a hub-spoke, multi-region-capable Azure landing zone that provides the secure, scalable and highly available foundation for autonomous driving and parking data/ML platforms.
- Compliance through Azure Policy: Enforce security and compliance standards across Azure subscriptions via Azure Policy (guardrails, deny/audit/deploy-if-not-exists), consistently achieving top-tier infrastructure security scores.
- Infrastructure-as-Code: Automate provisioning and configuration of Azure resources with Terraform and Bicep, with changes delivered through reviewed CI/CD pipelines.
- Azure Databricks and Unity Catalog: Extensive experience operating Azure Databricks with Unity Catalog for centralized data governance, access control, lineage and auditing across workspaces.
- Monitoring and observability: Built and run infrastructure monitoring and logging with Azure Monitor, Prometheus, Grafana and Loki, covering platform health, alerting, troubleshooting and capacity trends.
- Platform at scale: Architected and operate cloud data/ML platforms supporting multi-PB vehicle data ingestion and simulation; orchestrate Argo Workflow-based recompute and autolabeling services scaling to 100k+ concurrent pods on AKS.
- Reproducible ML: Established reproducible training environments with dataset versioning and provenance tracking, enabling auditing and experiment reliability.
- Operational excellence: Automated GitHub organization management and CI/CD pipelines, improving developer productivity and deployment reliability; automated recurring operational processes.
- FinOps: Developed transparent resource utilization and cost-tracking for multi-project Azure environments.
- Leadership: Technical lead for infrastructure topics, collaborating with development, DevOps and security teams; technical interviewer and recruitment panel member for scaling the engineering team.
Fabian C.
Last position:
Senior GIS Developer at Transport & Logistics
Development of a route planner for incident communication.
- Development of the REST API
- Set up a patch system for maintaining the routing graph
- Expansion of the testing infrastructure
- Performance and memory optimization (JMeter, JFR)
Technologies: Java 21, Spring Boot, JGraphT, Flyway, MapStruct, Caffeine, ShedLock, JMeter, Kubernetes, JFR
Philipp N.
Last position:
Senior Software Architect & Full-Stack Engineer at Philipp Niestroj Software Engineering
Architecture reviews, legacy modernization, system integration, and AI integration into existing systems.
Ashwin P.
Last position:
Data Scientist at Mercor Intelligence
- Elevated LLM output reliability by engineering domain-specific prompts and evaluation logic, improving reasoning consistency across production language model workflows.
- Designed advanced coding benchmarks and validated solutions to strengthen training and evaluation datasets, improving model performance on technical problem-solving tasks.
- Designed and implemented automated evaluation frameworks for technical reasoning tasks; optimized LLM output reliability by 15% through rigorous prompt engineering and rubric-based benchmarking.
Anna M.
Last position:
Senior Product Manager / Project Lead at Keepcode
- Define and own the end-to-end product lifecycle for flagship project (web and mobile app, more than 15M total users). Lead delivery, track and analyse product metrics, data and KPIs.
- Drive roadmap planning: translate long-term product vision and product strategy, business objectives, customer needs into a prioritised backlog for cross-functional teams.
- Lead cross-functional teams using Agile methodologies: facilitate daily stand-up meetings, sprint planning, poker-planning, retrospectives, and demos; conduct feature kick-off meetings.
- Maintain clear and trust communication with stakeholders through product updates, presentations and regular reports, acting as a bridge between technical teams and business leaders.
- Apply data-driven hands-on approach with product analytics, experimentation, and customer interviews for decision-making across product development.
- Contribute to annual strategic planning with the Board by translating market dynamics, customer needs and competitive positioning into actionable product roadmap and goals.
- Increased in-app conversion by 13% and reduced average purchase time by 50% through Google Analytics implementation and UX/UI redesign.
- Reduced support workload by 60% by implementing an AI-powered support system with a knowledge base and automated Jira ticket creation.
- Reduced key client churn by 14% and increased internal project revenue by 22% YoY by building a data-driven analytics framework in Power BI.
- Optimised referral program costs by 17% and improved retention by 22%.
- Enabled global market expansion across 6+ regions by leading the design and delivery of a payment integration platform, integrating 10+ payment methods via a unified API.
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
Marco P.
Last position:
Senior Siebel CRM and BI Architect
- Maintenance and enhancement of a Siebel CRM Service & Marketing implementation (Siebel 23.1, OpenText, OBIEE, Informatica).
Rüdiger K.
Last position:
Data Analyst and Reporting Manager at Energieversroger
Implemented Power BI reporting for various departments at an energy provider. Agile project: responsible for organizing and coordinating with departments and IT, and regularly presented interim steps and results to project management.
Jörg-Ulrich H.
Last position:
Data flows for health insurance providers
- Further development and creation of data flows for health insurance providers
- Data management across various storage systems (DB2, MSSQL, PostgreSQL, S3, custom APIs, ...)
- Documentation and training
- Planning and deployment of NiFi 2.x (major upgrade)
- Integrating Grafana for visualization, monitoring, and alerting
- Extensive use of the NiFi API to continuously monitor the system and its components
Discover over 15,000 top freelancers
Statistics of experts using Apache Superset
Aggregated from the professional profiles of matched freelancers.
Experience
14 years

Position duration
1.9 years

Positions per freelancer
12

Top business areas
Business Intelligence, Information Technology, Product Development

Top industries
Information Technology, Banking and Finance, Automotive

Certification focus areas
Information Technology, Business Intelligence, Marketing
Bachelor's degree or higher
100%
Master's degree or higher
67%
Doctorate
25%

Certifications per freelancer
3

Most common languages
German, English, Hindi

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 Superset
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 Superset 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 (86%)
- Banking and Finance (57%)
- Automotive (43%)
- Manufacturing (43%)
- Retail (43%)
- Education (29%)
- Transportation (29%)
- Energy (21%)
Please note that freelancers can work across multiple industries, so percentages overlap.
About the technology
Open-source analytics
Apache Superset is an open-source business intelligence and data exploration platform for building interactive dashboards and charts. It connects to SQL-compatible databases and lets business users explore governed data without writing every query themselves. Teams use it for operational reporting, product analytics and management views.
Core capabilities
Superset supports SQL-based datasets, reusable metrics, filters, drill-downs and dashboard layouts. Its visual interface covers common charts, while SQL Lab gives specialists a direct workspace for querying and validating data. Role-based access, dashboard permissions and database connections help separate trusted reporting from exploratory work.
Ecosystem and tooling
Work with Apache Superset typically involves PostgreSQL, MySQL, Snowflake, BigQuery, Trino, Presto or other supported data sources. Strong specialists also understand dbt models, data warehouses, SQLAlchemy connectors, Python configuration and containerized deployment with Docker or Kubernetes. Authentication may connect to OAuth, LDAP or enterprise identity services.
Typical project work
- Connect Superset to warehouses, lakehouses and operational databases
- Design executive, finance, sales and product dashboards
- Build certified datasets and reusable business metrics
- Configure roles, row-level security and workspace access
- Tune queries, caching and dashboard performance
When expertise matters
Companies bring in freelance Apache Superset specialists when reporting must move beyond spreadsheets or disconnected BI tools. This is especially useful during a warehouse migration, a dashboard redesign, a security review or a rollout to non-technical teams. In Germany, collaboration may combine remote delivery with on-site workshops and German or English communication, depending on stakeholders.
What quality looks like
Strong professionals clarify metric definitions before designing charts and test every dashboard against trusted source data. They keep SQL readable, limit unnecessary queries and explain the trade-offs between live connections, extracts and caching. They also document access rules, deployment settings and ownership so teams can maintain Superset after the engagement ends.
Frequently asked questions
Need clarity? These are the questions we hear most often about Apache Superset.
Apache Superset is used to explore data and build interactive dashboards from SQL-compatible sources. Companies commonly use it for operational reporting, product analytics, financial views and self-service business intelligence.
Apache Superset is open source and strongly centered on SQL, web-based exploration and flexible deployment. Tableau and Power BI often provide broader packaged features for business users, while Superset can suit teams that want more control over infrastructure, data access and customization.
A strong Apache Superset specialist usually brings advanced SQL, data warehouse knowledge and experience with dimensional modeling. Useful adjacent skills include dbt, Python, SQLAlchemy, Docker, Kubernetes, identity management and query-performance tuning.
Apache Superset projects need enough practical experience to connect reliable data sources, define metrics and manage permissions correctly. A smaller dashboard task may need focused expertise, while a company-wide rollout also requires knowledge of deployment, governance, security and user adoption.
Apache Superset is well suited to remote collaboration because configuration, SQL, dashboard reviews and documentation can be handled online. German companies may still prefer on-site workshops for metric alignment or stakeholder training, while delivery can remain remote and use German or English.
Apache Superset connects to many SQL databases and warehouse technologies through SQLAlchemy-supported drivers. Common examples include PostgreSQL, MySQL, Snowflake, BigQuery, Trino and Presto, but the exact connection depends on the source, driver and deployment setup.
Review whether Apache Superset dashboards use clearly defined metrics, trusted datasets and appropriate access rules. Ask for evidence of query testing, performance checks, responsive layouts, documentation and a handover that lets internal teams maintain the environment.
Before joining an Apache Superset project, clarify the data sources, warehouse model, authentication method, deployment target and dashboard owners. Also confirm whether the work focuses on visual design, SQL modeling, platform configuration or production support, since each area requires different preparation.
The average hourly rate of freelancers in Germany who have used Apache Superset in their recent projects is 93 €, which corresponds to a daily rate of about 742 € based on an 8-hour working day.
Of the freelancers in Germany who have used Apache Superset in their recent projects, 100% hold at least a Bachelor's degree, 67% hold at least a Master's degree, and 25% hold a doctorate.
On average, freelancers in Germany who have used Apache Superset in their recent projects have 14 years of professional experience, with a single engagement typically lasting around 1.9 years.
The most common languages among freelancers in Germany who have used Apache Superset in their recent projects are German (100%), English (100%), and Hindi (21%).
The most common industries among freelancers in Germany who have used Apache Superset in their recent projects are Information Technology (86%), Banking and Finance (57%), and Automotive (43%).
The most common business areas among freelancers in Germany who have used Apache Superset in their recent projects are Business Intelligence (100%), Information Technology (86%), and Product Development (79%).
Main locations of FRATCH Experts, who have recently used Apache Superset
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.
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