Service
Data Platforms & Engineering
Data Lakes, Lakehouse and Data Warehouses with dbt, Snowflake, Databricks — including Governance.
What to expect
We build resilient data platforms — from data warehouses and Lakehouse architectures to data products with clear ownership. Focus on data quality, governance, and a productive daily routine for your analytics and ML teams.
- Snowflake, Databricks, Azure Synapse
- Modeling with dbt, Orchestration with Airflow
- Data Quality, Lineage and Governance
- Self-Service Analytics for Business Departments
Selected technologies
Snowflake
Databricks
dbt
AirflowSelected reference projects
All projectsEnergy Industry
Data Platform for Integrated Energy Data
Supported the further development of a modern data and platform landscape for an energy company. The focus was on new data services, the integration of heterogeneous data sources, and the reliable provision of consistent information for downstream business applications. New business scenarios were jointly evaluated with product owners and business departments and translated into robust data products. The implementation included data integration, data provisioning, and continuous exchange with relevant stakeholders.
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Data Foundation for Price and Scenario Management in Energy Sales
Supported the further development and operation of a central data solution for price control, planning, and scenario analyses in an energy sales environment. The solution processes extensive business and technical data flows, checks their quality, and consolidates them into reliable source data for operational and medium-term decisions. This included the modeling and automation of data pipelines, the provision of relevant KPIs, and ensuring a verifiable data foundation for reporting and management.
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Event Streaming Platform for Critical Energy Data
For an energy company, the architecture and implementation of an event streaming platform were advised and executed. The scope of services ranged from architectural definition and validation to data integrations and the development of microservices and event-driven applications. Further重點s included schema design, highly available cluster structures, monitoring, technical documentation, and enforcement of security standards across the data and system landscape.
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