Lead Data Engineer

Brightpath Technologies 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 Brightpath Technologies ’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 Brightpath Technologies 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 Brightpath Technologies , 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 e