Ask me anything about our AI services
Senior talent, EU timezone, no lock-in. Start with a trial month.
A data engineer at Cloudrix designs and builds data pipelines, warehouses, and analytics infrastructure. They work with batch and streaming data, build ETL/ELT processes, optimize data models, and ensure data quality. They make data accessible and reliable for analytics teams, data scientists, and business stakeholders.
Describe your data sources, analytics needs, and current pain points. We scope the data engineering work.
Within 48 hours, we present a data engineer experienced with your data stack and domain.
Your engineer audits existing data infrastructure and designs pipelines that meet your analytical requirements.
Reliable data pipelines with monitoring, data quality checks, and documentation.
Data engineers build the infrastructure that makes data available. Data scientists analyze that data. You typically need the engineer first to ensure clean, reliable data for analysis.
Yes. Our data engineers work with Snowflake, BigQuery, Redshift, and traditional PostgreSQL/MySQL data warehouses.
Yes. Stream processing with Kafka, Kinesis, or Flink for real-time analytics, event processing, and CDC (change data capture) pipelines.
Tell us what you need and we will match you with the right engineer within 48 hours. Start with a risk-free trial month.