Lead Data Engineer
About this role
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:
FT1000 ranking – Among the fastest-growing European companies in 2024 & 2025
The Europas – Featured in the list of 100 hottest startups
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.
We are Drivers, not passengers: We take the wheel and own our results.
We are data-obsessed: Facts guide us, not assumptions, not egos.
We think as one: Collective goals come before personal wins.
We trade off: We simplify, prioritize, and go for high-impact results.
We solve problems: We own challenges and turn ideas into action.
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
Architectural Leadership: Lead the design, implementation, and optimization of distributed data architectures to support massive Batch & Streaming pipelines.
Scalability & Performance: Ensure the scalability, security, and performance of the infrastructure, maintaining high system availability (99.9%+) for analytics platforms.
Efficiency: Optimize storage solutions to balance high-speed processing with cost-efficiency.
AI Integration: Collaborate with software engineers and data scientists to seamlessly integrate AI-driven models into production data workflows.
Technical Leadership and Team Management
Mentorship: Lead and mentor a team of 2 data engineers, fostering a culture of continuous improvement, growth, and technical excellence.
Standards & Quality: Set high standards for code quality, documentation, and rigorous peer reviews.
Execution: Oversee project execution, delegate responsibilities, and act as the technical point of escalation for complex data-related roadblocks.
Best Practices: Guide technical decisions and promote industry best practices in data engineering (CI/CD, DataOps).
Collaboration and Data Governance
Cross-Functional Alignment: Work closely with product managers, developers, and analytics teams to define data needs and ensure alignment with business objectives.
Reliability: Implement robust monitoring, alerting, and automated testing (Data Quality) to ensure the integrity of the data team's output.
Compliance: Ensure data security and GDPR compliance across all international jurisdictions and workflows.
Innovation and Problem Solving
Emerging Tech: Identify opportunities to leverage new technologies or improve existing workflows to optimize data processing.
Complexity Simplification: Maintain a deep understanding of data trends and possess the ability to simplify complex problems into executable tasks.
Generative AI Adoption: Encourage and champion the use of Generative AI tools across the team to accelerate development cycles, automate repetitive tasks, and enhance data exploration capabilities.
Your profile for this job
Experience: 6+ years in Data Engineering, with at least 2 years in a leadership or "referent" role within fast-paced environments.
Database Mastery: Expert proficiency in distributed data systems, clustering, advanced table types, and materialized views.
Optimization: Skilled in designing table sorting keys and fine-tuning database performance.
Stack Mastery: Solid programming skills in Python, Golang, and Scala/Java, with deep expertise in Kafka for streaming/batch data pipelines.
Infrastructure: Hands-on experience with on-premise infrastructure (own datacenter) managed by Kubernetes, and familiarity with monitoring stacks such as Prometheus.
Data Storage: Strong knowledge of column-oriented databases designed for high-volume data processing, vector databases (e.g. Qdrant), and SQL/NoSQL technologies.
Tooling: Comfortable working with project tracking tools (Flyspray) and applying CI/CD & DataOps best practices.
AI & Innovation (Nice to have): Interest or hands-on experience leveraging Generative AI tools in daily engineering workflows to boost productivity and innovation.
Your mind set to share our adventure
🚀 You want to make an impact and move things forward collectively. Does hearing phrases like "Yes, but we've been doing it this way for years..." make your hair stand on end? We feel the same way: progress is made by questioning what already exists.
🧠 You solve problems pragmatically and analytically.
🏃♂️ You're looking for a fast-moving environment where your agility will be an asset. The 80-20 (Pareto) principle holds no secrets for you.
🎧 Your ability to listen encourages you to challenge and improve yourself on an ongoing basis.
Benefits & Work Environment
🌍 Dynamic Remote Culture: At Sparteo, we embrace a flexible work environment that adapts to your lifestyle, allowing you to contribute from wherever you feel most productive, be it from home or our urban offices in Paris, Lille, or London.
👥 Close-knit Team: Be part of our dynamic and united team, where collaboration, innovation, and mutual support drive our collective success and create a thriving work environment.
🎉 Vibrant Social Events: Engage in regular social gatherings and company events that foster community and celebrate our milestones.
🚀 Rapid Growth: Experience the excitement of working with a company in rapid expansion mode, impacting the advertising technology landscape across Europe and beyond.
📈 Tailored Support: We provide robust career development support, including training programs, career check-ins with HR, opportunities for internal mobility, and performance feedback sessions conducted quarterly or semi-annually, depending on your role.
🌴 RTT Days: We support work-life balance with additional rest days (RTT), provided based on position and tenure, empowering you to recharge and enjoy life outside of work.
🩺 Comprehensive Health and pension plans: We provide a robust health benefits plan, ensuring you and your family are covered and cared for.
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💼 Additional Perks:
🍽️ Benefit from the Swile card for meals.
Ready to join Team Sparteo? Send us your CV and continue the recruitment process!
Here are the stages in our recruitment process
Discussions about your driving forces, your ambitions and our Sparteo mindset will be held with a member of our Talent Acquisition team.
Analytical and business logic tests
Discussions with one or more members of the Sparteo team, including your future manager
Taking up references
Our recruitment process is mainly conducted by videoconference; however, certain stages may require a face-to-face meeting.
Originally posted on Himalayas
