Your data delivers reports — it could drive decisions.

Data engineers, BI developers and ML engineers are among the hardest roles to fill in the DACH region. At the same time, pressure grows to derive not just reports from data, but real business decisions — with AI, in real time. Data platforms are highly sensitive: GDPR compliance is not optional, it is mandatory. Nearshore from the EU delivers both: specialized talent and legally compliant handling of your data.

Our data engineers build scalable data pipelines with modern stacks: Apache Spark, Airflow, dbt, Kafka, Flink and cloud-native services (AWS Glue, Azure Data Factory, GCP Dataflow). From raw data ingestion through transformation to analytics-ready data warehouse — structured, tested, documented and GDPR-compliant.

BI development with Power BI, Tableau, Looker or Metabase — from data modeling through semantic layers to self-service dashboards for business units. Our BI teams work closely with your stakeholders and deliver dashboards that don't just show data, but enable actionable insights.

Advanced analytics, predictive modeling, ML engineering and AI-powered data products: from exploration through feature engineering to production integration. Python, TensorFlow, PyTorch, scikit-learn and MLOps tooling (MLflow, Kubeflow). Plus RAG-based knowledge systems and LLM-powered data analysis — we have shipped an AI insight platform that reduced weeks of reporting to seconds. ML models don't stay in notebooks with us — they end up in production-ready APIs and real-time scoring systems.

For data platforms, compliance is non-negotiable. Our teams work exclusively from EU locations, with DPA under Art. 28 GDPR, encrypted connections and strict access controls. Anonymization, pseudonymization and data governance are integral to every data architecture — not an afterthought.