Senior Data Engineer (Machine Learning-focus)
Adikteev
WorldwideremotePosted 3 days ago
Skill Required
Data-EngineerMachine-Learning-EngineerMLOps-EngineerSenior-AI-ML-Data-EngineerSenior-AI-Data-EngineerSenior-Data-EngineeringMachine-Learning-Data-EngineerMachine Learning EngineerData EngineerMachine Learningdata engineeringAirflowDeep LearningEngineeringKubernetesObservabilitybuildingetc.)TestNGPythondesignScalaSparkKafkaCI/CDDesign PatternsJavaAWSandCICDAIFulltime
Key highlights
- Salary: 80,000 to 90,000€ OTE
- Experience: Senior level Data Engineer
- Benefit: 4.5-day work week
- Requirement: EU residency and work authorization
Role overview
Adikteev is an AdTech company that helps mobile app publishers grow their revenue through targeted advertising, operating globally from Paris, San Francisco, Barcelona and Seoul. They are seeking a Senior Data Engineer to take ownership of their ML Platform, designing, deploying, and evolving predictive models and the infrastructure that enables them to scale and deliver value at high velocity.
Responsibilities
- 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.
Requirements
- Proven track record as a Data Engineer, ideally with a focus on MLOps and production-related challenges (latency, throughput, server cost optimization...).
- Hands-on expertise with Apache Spark (tuning, scaling), Airflow (complex DAG orchestration).
- An "AI-native" developer who embraces AI tools to write better, faster code.
- Solid understanding of how to transform raw data into high-quality features for machine learning.
- A "Product Owner" mentality for data, you don’t just ship code; you own the reliability and scalability of the systems you build.
- Fluent in English and the ability to articulate complex architectural choices to both technical and non-technical stakeholders.
- Maintain residency and be legally authorized to work in the European Union.
Nice to have
- Kafka streaming and Kubernetes.
- Good knowledge of AWS platform.
- Hands-on experience with Python and Java/Scala.
- Experience with tabular data for classification problems and deep learning.
- Experience building or maintaining feature stores.
- Notions of French.
Benefits
- 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
Additional details
- Competitive Salary between 80,000 and 90,000€ OTE (including base salary and a performance-based Quarterly bonus with transparent KPIs).
- 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.
- Hiring process: HR call with Claire, 1h technical interview with a Senior ML Engineer and Data Engineering team member, 1h team fit interview with Aldenis (VP Engineering), and a final interview with Cédric (CTO) and Loïc (CPO).
- Accommodations for the application process are available upon request.
- Company Values: Own it, Live it; Rolling with Changes; Making waves with purpose; The ADIKTEAM vibe.
- Adikteev is an equal opportunity employer committed to building an inclusive environment.
- Originally posted on Himalayas