What data platforms do you work with?

Snowflake, Databricks, BigQuery, Redshift, and Azure Synapse. We also work with Kafka, Airflow, dbt, and modern data stack tools. We recommend based on your needs.

Can you help with real-time data pipelines?

Yes. We build streaming pipelines with Kafka, Kinesis, or Pub/Sub for real-time analytics and event-driven architectures alongside batch processing.

How do you handle data quality?

Data quality is built into our pipelines. We implement validation rules, monitoring, data contracts, and automated testing to catch issues before they impact downstream systems.

What's the pricing for data engineering services?

Embedded team model: Precision Pod (€5-6k/month), Pair Pod (€10-11k/month), Mini-Team (€15-16k/month). All include project management and architecture reviews.

How fast can you start?

7-10 business days from signed agreement to engineer embedded in your team.

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AI Proof of Concept vs Production ML Systems: What European SMBs Need to Know

Data Engineering Consultancy Alternatives: Build vs Buy vs Partner for Mid-Market Companies

MLOps Platform Services vs Custom AI Engineering: Comparing Long-term Business Impact for European SMBs

In-House DevOps vs Managed DevOps Services for Financial Services Compliance

5 Audit Red Flags That Signal Your Data Management Needs Immediate Attention

In-House Legacy Migration Team vs Specialist Migration Services: Which Delivers Lower Risk for European SMBs

How to Evaluate Data Engineering Partners When Revenue Depends on Data Reliability

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Data Engineering Consultancy Alternatives: Build vs Buy vs Partner for Mid-Market Companies