Data Engineer

Role Description

As a Data Engineer at Cresteo, you'll be more than just a developer; you will be part of transforming the tech industry through our honest, transparent, and people-centric approach.

• Your role will be diverse and dynamic.
• You'll be instrumental in developing and maintaining our software solutions.
• Work with a varied technology stack.
• Ensure that our products are functional, efficient, reliable, and scalable.
• Align with a vision that values the human side of tech, where your skills and passion are recognized, nurtured, and celebrated.

Qualifications

• Experience in data engineering, analytics engineering, or modern BI platforms.
• Strong experience with Microsoft Fabric, Databricks, Snowflake, BigQuery, or similar cloud data platforms.
• Hands-on expertise with Power BI semantic modeling, including DAX, tabular models, calculation groups, and row-level security.
• Experience designing and maintaining modern data pipelines, ETL/ELT workflows, and data quality processes.
• Strong SQL skills and experience using Python for data engineering and analytics workflows.
• Experience integrating AI systems with curated data layers and semantic models.
• Experience working with Microsoft Copilot Studio data connectors and semantic layer integrations.
• Experience with database administration using SQL Server, Azure SQL, or equivalent relational systems.
• Understanding of ontology-style data modeling and knowledge structures for AI consumption.
• Experience building stakeholder-facing dashboards and business intelligence solutions.
• Ability to collaborate closely with AI and platform engineering teams on data architecture decisions.
• Clear and concise communication skills, both written and verbal, to support documentation, issue reporting, and cross-team collaboration.
• Advanced English level.

Requirements

• Build the data foundation powering both AI and business intelligence across the enterprise.
• Design semantic data models, scalable pipelines, and governed integrations that turn operational data into AI-ready knowledge.

Benefits

• 100% Remote.
• USD above-average salaries.
• Profit Sharing Policy.
• Unlimited PTOs after your first year (20 PTOs the first year).
• Equipment for your setup.
• Great work/life balance.
• Honest, simple, and transparent culture.
• US-based clients and international teams.