Lead Data Engineer

Job not on LinkedIn

🕒 March 18

🇫🇷 France – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 51%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SPARTEO

WebsiteLinkedInAll Job Openings

51 - 200 employees

📣 Marketing

🤖 Artificial Intelligence

Marketing • Advertising Technology • Artificial Intelligence

SPARTEO is a company specializing in advanced advertising technology solutions for publishers. They offer a comprehensive suite of data-driven advertising technologies powered by artificial intelligence, enabling publishers to enhance their business value. SPARTEO's offerings include solutions for display monetization, business intelligence, consent management platforms, and innovative audio and video technologies. By leveraging first-party data, they provide insights and tools that help publishers make informed decisions and optimize efficiency through supply path optimization. SPARTEO aims to maximize publisher revenue while aligning their success with that of their clients.

📋 Description

• Lead the design, implementation, and optimization of distributed data architectures for massive batch and streaming pipelines • Ensure infrastructure scalability, security, performance, and 99.9%+ availability for analytics platforms • Optimize storage solutions for high-speed processing and cost-efficiency • Collaborate with software engineers and data scientists to integrate AI-driven models into production data workflows • Lead and mentor a team of 2 data engineers • Set standards for code quality, documentation, and peer reviews • Oversee project execution, delegate responsibilities, and serve as the technical escalation point for complex data-related roadblocks • Guide technical decisions and promote CI/CD and DataOps best practices • Collaborate with product managers, developers, and analytics teams to define data needs and align with business objectives • Implement monitoring, alerting, and automated data-quality testing • Ensure data security and GDPR compliance across international jurisdictions and workflows • Identify opportunities to use new technologies and improve data-processing workflows • Simplify complex problems into executable tasks • Champion Generative AI tools to accelerate development, automate repetitive tasks, and enhance data exploration

🎯 Requirements

• 6+ years in Data Engineering • At least 2 years in a leadership or “referent” role within fast-paced environments • Expert proficiency in distributed data systems, clustering, advanced table types, and materialized views • Skilled in designing table sorting keys and fine-tuning database performance • Solid programming skills in Python, Golang, and Scala/Java • Deep expertise in Kafka for streaming/batch data pipelines • Hands-on experience with on-premise infrastructure managed by Kubernetes • Familiarity with monitoring stacks such as Prometheus • Strong knowledge of column-oriented databases for high-volume data processing • Knowledge of vector databases such as Qdrant • Knowledge of SQL/NoSQL technologies • Comfortable with Flyspray and CI/CD & DataOps best practices • Interest or hands-on experience with Generative AI tools is nice to have • Pragmatic and analytical problem-solving approach • Ability to work in a fast-moving environment • Ability to challenge and improve continuously

🏖️ Benefits

• Flexible work environment allowing contribution from home or urban offices in Paris, Lille, or London • Regular social gatherings and company events • Career development support, including training programs, career check-ins with HR, internal mobility opportunities, and quarterly or semi-annual performance feedback sessions • Additional rest days (RTT), based on position and tenure • Comprehensive health benefits plan • Pension plans • Swile card for meals • Recruitment process mainly conducted by videoconference