Data Engineer

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Cresteo

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2022

🤖 Artificial Intelligence

💼 Consulting

🏢 Enterprise

Artificial Intelligence • Consulting • Enterprise

Cresteo is a strategic technology partner that designs, builds, and operates enterprise AI solutions. They offer an AI Agentic Studio and the Cresteo Forge framework to integrate GenAI, agentic systems, LLMOps, computer vision, data & analytics, and cybersecurity into production on client infrastructure. Cresteo embeds with enterprise teams to deliver digital transformation, platform engineering, and measurable outcomes across industries such as fintech, legal, healthcare and e-learning, and emphasizes security (ISO/IEC 27001) and strong delivery metrics (reduced costs, faster time-to-market, high client retention).

📋 Description

• Developing and maintaining software solutions using a varied technology stack • Ensuring products are functional, efficient, reliable, and scalable • Collaborating with cross-functional teams to deliver high-quality software solutions • Transforming the tech industry through a people-centric approach

🎯 Requirements

• 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

🏖️ 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