Data Engineer

This is a fully remote position, open to applicants in Italy, +2 more countries.

📋 Description

• Take charge of the entire lifecycle of data products while serving as a technical leader.

• Work in close collaboration with Data Scientists to implement real-time pricing algorithms for millions of users.

• Assume full responsibility for data pipelines in the Pricing Analytics domain.

• Design and construct systems to address highly complex or vaguely defined challenges.

• Collaborate with cross-functional stakeholders to guide the design, development, optimization, and deployment of ML and ML-based solutions.

• Oversee the infrastructure supporting the Pricing algorithm and ensure the performance of the pricing ML system.

• Lead initiatives across teams to utilize and enhance ML infrastructure for model development, training, and deployment.

• Produce well-structured, thoroughly tested, readable, and maintainable production-quality code.

⛳️ Requirements

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or a related quantitative discipline.

• Advanced proficiency in SQL and Python.

• Extensive hands-on experience in modeling enterprise Data Warehouses using dbt, including Kimball methodology, dimensional modeling, star schemas, data testing, and data lineage.

• Strong familiarity with the Databricks ecosystem, encompassing Delta Lake, PySpark, Unity Catalog, SQL Endpoints, and Serverless compute.

• Significant experience with AWS cloud infrastructure, including S3, IAM, KMS, and DataSync.

• Proven experience in writing and orchestrating complex production DAGs using Apache Airflow or MWAA.

• Experience in managing deployments utilizing Docker/Kubernetes.

• Proficiency with CI/CD pipelines, Git, GitHub Actions, and Terraform.

• Practical experience in building, optimizing, and maintaining enterprise dashboards using Tableau, PowerBI, or Databricks SQL Dashboards.

• Regular use of AI tools such as Claude and Databricks AI features.

• Strong understanding of GDPR requirements, including PII masking, access control policies, data retention, and auditing through Unity Catalog.

• Analytical mindset capable of converting complex business requirements into scalable data marts and KPI metrics.

• Ability to clearly communicate intricate technical concepts to business stakeholders and domain teams.

• Proficiency in English, both written and spoken, is essential.

🏝️ Benefits

• A start-up atmosphere backed by a large Group.

• The chance to innovate the applications of mobility with us.

• Smooth onboarding process to ensure a great start.

• Numerous opportunities for professional development.

• Collaboration with diverse and international teams.

• Involvement in international projects to enhance your experience.

• Access to an E-Learning platform for language and other skill development.