Responsibilities Autonomously manage the design and implementation of data pipelines using Databricks, from requirements to delivery.
Work with multiple data sources, including structured and unstructured data.
Integrate Databricks with other tools and services (Azure, AWS, Tableau, various databases).
Manage data storage and lifecycle across Databricks workspaces.
Diagnose and resolve issues within Databricks environments and workflows.
Maintain direct relationships with internal stakeholders/teams for requirements gathering and solution validation.
Contribute to maintaining data engineering methodologies and standards within the team.
Maintain clear documentation of data pipelines, processes, and workflows for internal use and compliance.
Qualifications Professional experience using data analytics solutions based on Databricks.
Knowledge of at least one of the following data integration services: Azure Data Factory, AWS Glue, Google DataPrep.
Strong foundation in data engineering concepts, proficiency in programming (especially Python, Scala).
Good understanding of cloud platforms (AWS,

Azure, or Google Cloud).
Problem‐solving skills and ability to work with operational autonomy.
Nice to Have Databricks certification.
Location Rome, with lavoro da remoto possibility.
Offer Package The position offers a gross annual base salary starting from €38.000. Compensation is determined in line with the applicable collective labor agreement (CBA: Contratto Collettivo Nazionale di Lavoro per l'industria metalmeccanica e della installazione di impianti). Salary based on objective and gender‐neutral criteria, including responsibility, experience and skills.
Health Insurance
Permanent disability by accident coverage
Life and permanent disability by accident coverage
Meal vouchers
Supplemental Pension Plan
Smart Working Agreement
Employee Discounts Program
Continuous Learning – Access learning platforms and take part in skill development programs designed for you.
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