Sparteo

Lead Data Engineer

Remote Data Engineering role with clear candidate location fit.

PostedJul 2, 2026

Eligible countries39 accepted countries

Seniority signalSenior

Work settingRemote

Accepted candidate locations

AlbaniaAustriaBelarusBelgiumBulgariaCroatia+33 more

Role overview

Readable role content extracted into sections for faster review.

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

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.

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).

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.

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.

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.

🚀 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.

🌍 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.
💼 Additional Perks:🍽️ Benefit from the Swile card for meals.
🍽️ Benefit from the Swile card for meals.

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

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