Data Engineer

Optimis Tech · Maranello, Emilia-Romagna, Italia ·


Descrizione dell'offerta

DATA ENGINEER (REMOTE, ITALY) – LONG-TERM CONTRACT | DATABRICKS + PYSPARK


Location: Remote (Italy)

Contract Type: Long-term freelance contract

Rate: Highly negotiable


About the Role

We are seeking a skilled Data Engineer to join a long-term project with a multinational financial services company . You will work on building and optimising data pipelines on Databricks , helping to process and transform large-scale datasets into actionable insights. This role is fully remote and offers the chance to contribute to one of the most ambitious data initiatives in Europe.


Key Responsibilities

  • Develop and maintain ETL pipelines in Databricks using SQL and PySpark .
  • Transform and analyse large datasets to support advanced reporting and analytics.
  • Apply data science techniques (e.g., clustering, classification, dimensionality reduction) where required to extract business insights.
  • Automate workflows and data pipelines using Apache Airflow to improve efficiency.
  • Collaborate with project managers and business stakeholders to gather requirements and deliver fit-for-purpose solutions.
  • Use GitLab for version control, ensuring clean, reusable, and well-documented code.


Skills & Experience

  • Proficiency with Databricks, PySpark, and SQL .
  • Hands-on experience with Apache Airflow for scheduling and orchestration.
  • Strong programming skills in Python (R is a plus).
  • Familiarity with Azure cloud environments and big data ecosystems.
  • Understanding of machine learning concepts (e.g., clustering, PCA, Random Forests).
  • Experience with GitLab/GitHub version control.
  • Strong communication skills and ability to work directly with stakeholders.
  • Fluent Italian.


What We Offer

  • Fully remote, long-term freelance contract .
  • Opportunity to work on a high-profile European data initiative with a leading global financial services company.
  • Competitive daily rate and flexible working conditions.
  • Exposure to cutting-edge cloud, big data, and analytics technologies .


Please contact to learn more about this amazing opportunity!

Candidatura e Ritorno (in fondo)