Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to shape the future of driving. Join the team and co-create digital products for the world’s top-tier brands. What project we have for you Our customer is a Dutch multinational developer and creator of location technology and consumer electronics headquartered in Amsterdam. They are looking for a skilled Data Engineer with strong MLOps experience to lead the design and automation of production-grade data and ML pipelines on Azure Databricks. You’ll work at the intersection of data engineering, infrastructure automation, and machine learning — transforming prototype workflows into robust, observable, and cost-efficient pipelines. What you will do * Design and maintain end-to-end data and ML pipelines using Databricks Workflows, Delta Lake, and Unity Catalog (bronze—silver—gold layers, schema evolution, access policies). * Build reproducible training and deployment workflows integrated with tools for experiment tracking, model registry, and artifact management. * Implement data quality frameworks and observability metrics aligned with industry best practices. * Build and monitor dashboards (e.g. past experience with Lakeview, Grafana, or similar) for data quality, model performance, and operational metrics. * Automate data ingestion and feature generation jobs, leveraging PySpark, SQL Warehouses, and Databricks Asset Bundles (DAB) under CI/CD (GitHub Actions or Azure DevOps). * Manage access and security, ensuring compliance and reliability. * Optimize compute performance and cost (spot/autoscaling, cluster tuning, caching, partitioning).
What you need for this * Strong proficiency in Python is essential, along with experience in shell scripting and potentially other languages like Java. * Hands-on experience with at least one major cloud service provider (Azure is preferable) * Experience in Azure Databricks Workflows, Delta Lake, and Unity Catalog * Experience in PySpark, SQL Warehouses, and Databricks Asset Bundles (DAB) under CI/CD (GitHub Actions or Azure DevOps). * Strong software engineering practices, including testing, code optimization, and design patterns. * Excellent communication and collaboration skills to bridge the gap between technical and non-technical teams.
What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
