AI Data Engineer

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🕒 April 23

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remopt

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1998

🤖 Artificial Intelligence

📡 Telecommunications

🤝 B2B

Artificial Intelligence • Telecommunications • B2B

remopt is a B2B technology and consulting company that combines telecommunications, artificial intelligence, and software to drive digital transformation and improve operational efficiency. With more than 25 years of experience, it offers network quality benchmarking and optimization, multidisciplinary professional services, and AI-driven tools (for example, a system to extract data from handwritten timesheets) to raise KPIs and support enterprise clients through strategic, consultative engagements focused on innovation, transparency, and measurable results.

📋 Description

• Design enterprise data models using dimensional modeling, Data Vault 2.0, or similar methodologies • Architect and maintain data warehouses, data lakes, and lakehouse environments • Define and enforce data standards, naming conventions, and schema governance across domains • Implement data governance frameworks including cataloging, lineage tracking, and metadata management • Build automated data quality checks, validation rules, and anomaly detection into pipelines • Ensure compliance with data privacy regulations through access controls and data classification • Build and maintain batch and streaming data pipelines with full observability and alerting • Implement change data capture patterns, real-time ingestion, and ELT/ETL frameworks • Administer and scale cloud data platforms; optimize storage, compute, and cost efficiency • Partner with analytics engineers, data scientists, and BI teams to deliver trusted data products • Define data contracts between producers and consumers; mentor junior engineers

🎯 Requirements

• 5+ years of data engineering experience with a focus on enterprise data platforms • Expert SQL skills; strong Python for data processing and automation • Deep experience with cloud data warehouse platforms • Hands-on experience with data transformation frameworks and workflow orchestration tools • Experience with data governance and cataloging platforms • Solid understanding of data quality frameworks, privacy regulations, and CI/CD for pipelines

🏖️ Benefits

• To be agreed upon.