Data engineering and BI services for multi-source analytics at enterprise scale
Redslim operates a data services firm managing 17,500+ datasets annually across 50+ sources for 30+ organizations, with deep expertise in harmonization, pipeline orchestration, and BI delivery. The tech stack reveals a mature, cloud-agnostic data platform: Python + PySpark + SQL on Databricks and Snowflake, orchestrated via Apache Airflow and dbt, with Power BI and Tableau as consumption layers. Hiring skews heavily toward data roles (7 open positions) over engineering (3), alongside a sales push—consistent with a services-led business transitioning toward product and expanding its CRM infrastructure (HubSpot, Salesloft adoption visible in stack).
Redslim is a Switzerland-based data engineering and business intelligence services firm founded in 2013, headquartered in Zug. The company serves CMOs, data teams, and BI professionals who work across fragmented data ecosystems, offering end-to-end data management, transformation, and analytics delivery. Operations span 55+ countries; the organization employs AI-driven data validation and quality assurance across its service delivery. With 51–200 employees, Redslim maintains distributed hiring across Europe (Cyprus, Portugal, Italy, France, Netherlands), emphasizing talent and passion over location.
Python, PySpark, SQL, Databricks, Delta Lake, Snowflake, Apache Airflow, dbt, Power BI, Tableau, Azure Data Factory, and AWS/Azure/GCP cloud platforms.
Redslim manages 17,500+ datasets per year from 50+ data sources across 55 countries for 30+ organizations, with specialization in data harmonization, pipeline automation, business intelligence delivery, and AI-enhanced data validation.
Other companies in the same industry, closest in size