Senior Data Engineer (Machine Learning-focus)

You might be a great fit for our Machine Learning team if you have experience in several of the following areas - don't worry if you don't check every box, we're happy to consider strong candidates who are eager to learn and grow:

• Experience: Proven track record as a Data Engineer, ideally with a focus on MLOps and production-related challenges (latency, throughput, server cost optimization...).

• Technical Stack: Hands-on expertise with Apache Spark (tuning, scaling), Airflow (complex DAG orchestration). Kafka streaming and Kubernetes are a plus. Our stack runs on AWS so a good knowledge of this platform is also a plus.

• Coding Skills: You are an "AI-native" developer who embraces AI tools to write better, faster code. Hands-on experience with Python and Java/Scala is a plus.

• Mindset: A "Product Owner" mentality for data, you don't just ship code; you own the reliability and scalability of the systems you build.

• Communication: Fluent in English and the ability to articulate complex architectural choices to both technical and non-technical stakeholders. Notions of French can be a plus.

• Data Modeling: Experience with tabular data for classification problems and deep learning is a plus.

• Feature Engineering: Solid understanding of how to transform raw data into high-quality features for machine learning. Experience building or maintaining feature stores.

• Competitive Salary between 80,000 and 90,000€ OTE

We are committed to transparent compensation practices. The salary range shown reflects total On-Target Earnings (OTE), including base salary and a performance-based Quarterly bonus with transparent KPIs. Final compensation will be tailored to each candidate's background, experience, skills, and overall fit for the role.

• 4 1/2 days work week (Fridays afternoon off);

• Longevity bonus every 2 years;

• Healthcare plan with excellent coverage;

• Lunch Vouchers;

• Mental Health support;

• Flexible remote working policy;

• Regular team-life event / activity;

• Inclusive parental leave Policy.

*Most benefits are available to all employees. For remote team members based outside of France, benefits will be aligned with local laws and practices in your country of residence, ensuring support that's both relevant and compliant wherever you are.

Please note that, to comply with employment regulations, applicants are required to maintain residency and be legally authorized to work in the European Union in order to be considered for this position.

We are looking for a Senior Data Engineer to take ownership of our ML Platform. You will help design, deploy, and evolve predictive models that power Adikteev's core adtech systems and you will be the architect of the infrastructure that enables our ML models to scale, perform, and deliver value at high velocity.

You will join a high-performing team alongside Gwennaëlle, Nicolas, Pedro, and Alex. Our mission is to deliver efficient, scalable, and impactful machine learning systems - models that directly influence billions of real-time decisions per day.

• Architect, scale, and maintain our data infrastructure, ensuring it meets the rigorous demands of real-time and batch ML workflows.

• Make sure data is always available: oversee processing, storage, aggregation, and API development.

• Streamline our data processes by integrating efficient testing, monitoring, alerting, and error recovery.

• Design and implement our feature store to centralize feature discovery, storage, and serving and build robust feature engineering pipelines.

• Build and optimize highly scalable pipelines using Apache Airflow and Apache Spark, focusing on high reliability and cost-efficiency.

• Contribute to innovation efforts, by exploring promising ideas from recent academic work and turning them into production-grade solutions.

• Leverage AI coding tools (Copilot, Cursor, etc.) to accelerate development cycles and stay at the forefront of engineering productivity.

• Drive best practices for data quality, CI/CD for data, and technical documentation. Mentor peers and identify infrastructure bottlenecks before they impact the business.

What to expect as you move through our hiring process:

• A HR call with Claire, Senior Talent Acquisition Partner,

• A 1h technical interview with a Senior Machine Learning Engineer and a member of our Data Engineering team,

• A 1h team fit interview with Aldenis, VP Engineering,

• A final interview with Cédric, Chief Technology Officer and Loïc, Chief Product Officer.

If you require accommodations at any stage of the application process, please let us know. It will be handled confidentially by our HR and recruitment team.

Own it, Live it: Our top priority is making sure our customers are fully supported and engaged. We're not afraid to make decisive moves, embrace challenges, and see them through to the end.
Rolling with Changes: We don't just face challenges, we anticipate them. Agility is core to who we are, and we believe in continuous learning and improvement.
Making waves with purpose: We're here to make a difference. Every decision and action is aimed at creating a positive and meaningful impact.
The ADIKTEAM vibe: We're more than a team; we're the ADIKTEAM. Everyone plays a crucial role, and we're always looking for people who thrive in collaborative, supporting environments.

We're proud that our team already spans 22+ nationalities, diverse talent and unique backgrounds, and we want it to grow even more. If this role appeals to you, we welcome your application, even if you don't meet every single qualification. Not everyone gets through our hiring process, but your skills might be a great fit for another opportunity; now or in the future.

Adikteev is an equal opportunity employer. We are committed to building an inclusive environment for all employees, candidates, vendors and clients, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, age, national origin, disability, marital status, or military status.