Lead Data Engineer

Sparteo is an independent suite of AI-powered advertising technologies built on sustainable, sovereign infrastructure.

Since 2018, we’ve been reshaping programmatic advertising to make it faster, more transparent, and more profitable by building the most direct path between publishers and advertisers.
But we don't stop here: wherever attention lives, on the web, in apps, on CTV, and beyond, our mission is to monetize audiences , across every device. Our data-driven tech delivers 30% higher revenues for our clients on average than traditional solutions.
Our Solutions:

→ Actirise: the display tech designed for performance
→ FastCMP: the consent management platform specifically designed for business purposes
→ Meetscale: the most advanced SSP for Publishers and Ad Networks
→ Viously: the ultimate all-in-one video tech solution
→ Voxeus: the audio distribution and monetization technology

Behind Sparteo ’s growth is a team of 100+ talents across 11 countries, united by a shared ambition to redefine the future of digital advertising.

Our dedication has placed Sparteo among the most dynamic tech players in Europe:

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FT1000 ranking – Among the fastest-growing European companies in 2024 & 2025

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The Europas – Featured in the list of 100 hottest startups

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Pixalate Ranking – #1 Web SSP in France with our Actirise solution, overtaking Google AdExchange

These milestones are just the result. What truly sets us apart is how we work: at Sparteo , we don’t settle, we act.

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We are Drivers, not passengers: We take the wheel and own our results.

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We are data-obsessed : Facts guide us, not assumptions, not egos.

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We think as one : Collective goals come before personal wins.

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We trade off : We simplify, prioritize, and go for high-impact results.

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We solve problems : We own challenges and turn ideas into action.

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We say what we do : Radical transparency is how we grow, no fluff, no hiding

Discover our journey, products, and culture on 👉 our website 👈
Your Job

As our Lead Data Engineer, your mission is to architect, scale, and maintain the backbone of our data ecosystem. You will transform massive volumes of raw signals into actionable intelligence, ensuring our infrastructure is as agile as our growth strategy. You will bridge the gap between high-level data strategy and hands-on technical excellence.
Your Responsibilities & Key Deliverables
Data Infrastructure Design and Optimization

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Architectural Leadership: Lead the design, implementation, and optimization of distributed data architectures to support massive Batch & Streaming pipelines.

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Scalability & Performance: Ensure the scalability, security, and performance of the infrastructure, maintaining high system availability ( 99.9%+ ) for analytics platforms.

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Efficiency: Optimize storage solutions to balance high-speed processing with cost-efficiency .

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AI Integration: Collaborate with software engineers and data scientists to seamlessly integrate AI-driven models into production data workflows.

Technical Leadership and Team Management

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Mentorship: Lead and mentor a team of 2 data engineers, fostering a culture of continuous improvement, growth, and technical excellence.

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Standards & Quality: Set high standards for code quality, documentation, and rigorous peer reviews .

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Execution: Oversee project execution, delegate responsibilities, and act as the technical point of escalation for complex data-related roadblocks.

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Best Practices: Guide technical decisions and promote industry best practices in data engineering (CI/CD, DataOps).

Collaboration and Data Governance

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Cross-Functional Alignment: Work closely with product managers, developers, and analytics teams to define data needs and ensure alignment with business objectives.

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Reliability: Implement robust monitoring, alerting, and automated testing (Data Quality) to ensure the integrity of the data team's output.

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Compliance: Ensure data security and