Senior Staff Data Engineer, Adevinta
ML & AI Platform
Offers participation in our Short Term Incentive plan (annual bonus)
2-5 days a week in office
Digital marketplace specialist & family of local digital brands
Be an early applicant
Digital marketplace specialist & family of local digital brands
1001+ employees
Be an early applicant
Offers participation in our Short Term Incentive plan (annual bonus)
2-5 days a week in office
1001+ employees
Company mission
To create perfect matches that help everyone and everything find a new purpose through technology, talent and trusted brands.
Role
Who you are
- You are an R&D-minded leader who loves to experiment with the latest features (e.g. , Databricks Agents, RAG Studio) and operationalize them into stable platform features
- Experience: 10+ years of experience with a specific focus on the intersection of Data Engineering, MLOps, and AI Infrastructure
- Spark Mastery: You don't just run jobs; you optimize them. You possess deep knowledge of Spark internals, structured streaming, and performance tuning for large-scale data processing
- MLOps Authority: Proven experience architecting end-to-end ML platforms for Traditional ML (Classic MLOps) while actively enabling the organization on Generative AI concepts
- DevOps Mindset: You treat infrastructure as software. You have a strong background in building automated pipelines and ensuring system observability
- GenAI Readiness: Practical experience building infrastructure for Large Language Models, including managing the complexity of chaining models and tools
- Serving Expertise: Solid experience serving models at low latency and high concurrency using containerized solutions
- Collaborative Spirit: You speak the language of AI/ML Engineers and can effectively bridge the gap between "experimental code" and "production systems."
- If you feel like you don’t meet all of the requirements for this role but are interested, please consider applying anyway
What the job involves
- You will join the Data Platform team—the engineering engine behind our Data & Analytics crew
- You are stepping into a unique, hybrid ecosystem: we maintain a robust, high-scale traditional ML environment used daily by teams across Marktplaats, while simultaneously acting as the architects for our emerging GenAI capabilities
- We are a team that values engineering rigor just as much as experimentation, looking for a leader to help us bridge the gap between stable production services and the bleeding edge of AI
- As a Senior Staff Data Engineer – ML & AI Platform, you will be the bridge between infrastructure and Data Science, ensuring that our ML/AI environment is robust, scalable, and developer-friendly
- Your mission is to solve the "last mile" problem of ML: making it easy to move models from a notebook to a high-scale production API
- You will empower AI/ML Engineers and Data Scientists to be autonomous by building the tooling they need to self-serve
- Platform Leadership: Lead the evolution of our Machine Learning & AI Platform, designing the architecture for AI Agents and establishing patterns for Vector Databases
- Operationalize Innovation: Act as a "first mover." When Databricks releases a new feature (e.g., Liquid Clustering, Agent Evaluation), you validate it and integrate it into the platform
- GenAI Governance: Write the guidelines for GenAI development, helping teams transition from "notebook experiments" to production-grade LLM applications
- Enablement: Design the Feature Store, manage the Model Registry, and set up the infrastructure for Vector Search and RAG (Retrieval Augmented Generation) workflows
- Mentorship: Elevate the technical bar of the team, mentoring Staff and Senior engineers on design patterns, code quality, and architectural decisions
- Translation: Translate complex requirements from ML Engineers and Data Scientists into robust engineering tickets and infrastructure roadmaps
- Core Technologies
- Databricks AI Stack: MLflow, Mosaic AI, Unity Catalog, Feature Store, Databricks Model Serving, Vector Databases
- Big Data & Compute: Apache Spark (Internals & Optimization), AWS (GPU instances, EC2)
- GenAI & Agents: Databricks Agent tools
- Languages: Python (Expert level), PyTorch
- Infrastructure as Code: Terraform, Terragrunt
- Containerization: Docker, Kubernetes
- CI/CD: GitHub Actions
- Observability: Datadog
Application process
- Interested? Apply now
- Our team will reach out to you within 2 weeks
Our take
Adevinta Spain is part of the global Adevinta family, which is publicly listed in its native Norway. The company as a whole is one of the world’s largest classified marketplace companies, boasting a portfolio of around 50 brands in over a dozen countries, and employing close to 10,000 people.
The Spanish arm owns a number of the country's top digital classifieds marketplaces including Fotocasa, InfoJobs, and Milanuncios. At a time when larger companies are acquiring scores of eCommerce startups – a concept dubbed “eCommerce rollups” – it’s really interesting that Adevinta seems to have made quite the head start.
Indeed the fact that Adevinta isn’t going after D2C brands, but the marketplaces themselves, is clever. Considering that well over $2 trillion is spent annually on online marketplaces, Adevinta Spain (as well as Adevinta as a whole) is operating from a position of strength in an extremely lucrative market, especially since a buyout by Blackstone and Permira in November 2023 was initiated. This will further bolster Adevinta's position as a market leader under strong new ownerhsip.
Freddie
Company Specialist at Welcome to the Jungle
Insights
-1% employee growth in 12 months
Company
Company benefits
- Our work model prioritises remote work combined with face-to-face dynamics in the office that help us connect and make strategic decisions as a team. There are a minimum of 5 face-to-face days per quarter that you will pick with your team, that is, a minimum of 20 days a year, of which there are 8 days that we have chosen for everyone because they are meetings that reinforce our culture as a company (development conversations with managers, the creation of objectives or the summer celebration and Christmas party).
- Furthermore, you have the option of working up to four weeks a year from wherever you'd like. To do this, you must have a good internet connection and be able to follow the team's schedules.
- Every year we engage into benchmarking against the external market in order to create competitive compensation packages. Moreover, we do have plans that allow you to "flex your gross salary" in order to purchase benefits such as meal vouchers, commuters card, training and child care.
- We have Apple, Dell and Samsung options to choose the hardware that helps you most in your daily life. Choose between a Macbook Pro or Dell XPS laptop and an iPhone XR or Samsung S9 phone.
- Do you travel by car or motorcycle? We subsidize part of the parking cost.
- Your well-being is our priority. We cover fully for your medical insurance and we allow family members to be added to the policy for a discounted price.
- At the Barcelona office, you can enjoy sessions of 1 hour of physiotherapy.
- Do you like going to the gym? We sponsor 70% of the monthly fee of your chosen centre/ studio and we have agreements with both Andjoy and McFit for discounted membership prices.
- We enjoy 23 days of paid-time-off a year.
- We offer free breakfast and drinks at our Barcelona office every day of the week. You can also choose to enjoy the freshmade set daily menu in our canteen for an economical price. In Madrid on Tuesdays, Wednesdays and Thursdays you can enjoy free breakfast.
Company HQ
Barcelona, Spain
Leadership
Antoine Jouteau
(CEO)Previosuly Senior Advisor at FAMAE Impact, Investor at Voie 21, CEO at Leboncoin and Member of the Advisory Board at Orchestra-Prémaman.
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