Data Engineer

Who you are

• Education: A degree in Computer Science, Data Engineering, Software Engineering, or a related quantitative field
• Coding Expertise: Expert-level proficiency in SQL and Python, with a strong track record of writing clean, modular, optimized code for complex data transformations. (Note: Previous experience as a Data Scientist is a strong plus!)
• Data Modeling: Significant hands-on experience modeling enterprise Data Warehouses using dbt (including Kimball methodology, dimensional modeling, star schemas, data testing, and data lineage)
• Cloud & Big Data: Strong experience with the Databricks ecosystem (Delta Lake, PySpark, Unity Catalog, SQL Endpoints, Serverless compute) and AWS cloud infrastructure (S3, IAM, KMS, DataSync)
• Orchestration & DevOps: Solid experience writing and orchestrating complex production DAGs using Apache Airflow (or MWAA), managing deployments with Docker/Kubernetes, and working with CI/CD pipelines (Git, GitHub Actions, Terraform)
• Data Visualization: Hands-on experience building, optimizing, and maintaining enterprise dashboards using Tableau, PowerBI, or Databricks SQL Dashboards
• Modern Workflows: A habit of actively leveraging AI tools (like Claude and Databricks AI features) to accelerate pipeline creation, automate dbt documentation, and write smart PR review guardrails
• Compliance & Security: A solid understanding of GDPR requirements, including how to enforce PII masking, access control policies, data retention, and auditing via Unity Catalog
• Mindset & Communication: An analytical mindset capable of translating complex business requirements into scalable, bulletproof data marts and KPI metrics. You prefer simple, efficient, well-tested code over fragile architectures. You can also communicate complex technical concepts clearly to business stakeholders and domain teams (Pricing, Customer, Advanced Analytics)
• Languages: Fluency in English (written and oral) is required to work effectively in our international context

What the job involves

• At Free2Move, data science and analytics are at the very core of our products and decision-making. Our analytics team tackles a wide range of impactful topics—from influencing key business decisions and optimizing operations, to putting the algorithms that govern critical aspects of our products into production
• You will be joining our dedicated Pricing Analytics team, which takes charge of all topics related to pricing
• We deeply understand pricing dynamics and use this expertise to build and improve Machine Learning algorithms that define our pricing in real-time
• Your Next Missions As a Data Engineer in our team, you will own the full lifecycle of data products and act as a technical leader
• Collaborating closely with Data Scientists to bring state-of-the-art, real-time pricing algorithms to production for millions of users
• Taking full ownership of the data pipelines within the Pricing Analytics scope
• Architecting and building the right systems to solve highly complex or vaguely defined problems
• Engaging with cross-functional stakeholders to lead the design, development, optimization, and productionization of ML and ML-based solutions
• Managing the infrastructure on which our Pricing algorithm runs and taking responsibility for the performance of the pricing ML system
• Leading cross-team efforts to leverage and scale our ML infrastructure for model development, training, and deployment needs
• Writing well-crafted, well-tested, readable, and maintainable production-quality code

The application process

• We usually respond within a week

Benefits

• Annual Bonus Target
• Health Insurance
• Retirement Plan
• Paid time off
• An environment that promotes career development
• Equal Opportunity employer committed to diversity and inclusivity in the workplace