Senior data engineer (roma)

Dacomat srl; Roma; In loco; EUR 70.000 - 90.000; Tempo pieno

Descrizione del lavoro

A leading multinational technology company is seeking a highly skilled Senior Data Engineer in Rome. This role involves designing scalable data platforms and managing data pipelines. Candidates should have over 10 years of IT experience and at least 5 years in Data Engineering, with strong skills in Python, SQL, and Databricks. This position offers the opportunity to shape modern data ecosystems and support advanced analytics initiatives.

Competenze

• 10+ years of experience in Information Technology.
• 5+ years in Data Engineering Projects or Data Governance.
• Experience in Large Corporations, preferably in Telecommunications or Finance.

Mansioni

• Design and implement reliable and efficient data pipelines.
• Integrate data from diverse sources including relational databases and cloud storage.
• Develop scalable data architectures for business intelligence and machine learning.

Conoscenze

Data pipeline design

Python programming

SQL usage

Geospatial data processing

Graph databases

Analytical thinking

Formazione

Master’s or PhD in Computer Science, Engineering, Statistics, Physics, Mathematics

Strumenti

Databricks

Azure Cloud Data Services

Teradata Vantage

SQL Server

PostgreSQL

MySQL

Descrizione del lavoro

Overview

Our client, a leading multinational group in the telecommunications and technology sector, is seeking a highly skilled Senior Data Engineer to join its Big Data division. This strategic role is embedded within a high-impact team responsible for designing and operating scalable data platforms that support advanced analytics across global operations.

The ideal candidate will have extensive hands-on experience in designing, implementing, and managing robust data pipelines across batch, streaming, and real-time integration paradigms. The candidate will have 10+ years’ professional experience in Information Technology sector and at least 5 years of proven experience in Data Engineering Projects or Data Governance Teams operating in Large Corporations, preferable in the Telecommunication industry or the Finance Industry is highly preferable.

These pipelines will operate within Data Warehouse, Data Lake, and Data Lakehouse environments, leveraging technologies such as Teradata Vantage, Databricks, and Azure Cloud Data Services.

A strong command of Relational and Multidimensional Data Modelling is essential, along with advanced programming skills in Python, PySpark, and SQL. Experience with Geospatial data processing and Graph Databases is highly desirable.

The candidate should also demonstrate knowledge of core computer science principles, including Algorithms and Data Structures, Computer Architecture, Operating Systems, Programming Languages, Compilers and Interpreters, Theory of Computation, etc.

This role offers the opportunity to contribute to the evolution of a modern data ecosystem, enabling real-time insights and data-driven decision-making at scale.

Key Responsibilities

• Design and implement reliable and efficient data pipelines on Vantage, Databricks and Azure Data Services.
• Integrate and transform data from diverse sources including relational databases, cloud object storage, Event Stream Processing platforms, Web Services.
• Develop and maintain scalable data architectures to support business intelligence, machine learning and Agentic AI initiatives.
• Model complex datasets using both relational and multidimensional approaches (e.g., star/snowflake schemas).
• Work with geospatial datasets and graph-based data structures to support advanced analytics use cases.
• Collaborate with cross-functional teams including Data Scientists, Analysts, and Business Stakeholders.
• Ensure data quality, governance, and security across all engineering processes.
• Monitor and optimize performance of distributed systems and data workflows.
• Contribute to the evolution of the company’s data strategy and platform architecture.

Education

• Master’s or PhD in Computer Science, Engineering, Statistics, Physic, Mathematics.

Required Technical Skills

• Data platforms: Databricks (Apache Spark), Azure Cloud Data Services (Fabric, Synapse, Functions, etc.), Teradata Vantage
• Languages: Python (including PySpark), SQL, Unix Scripting
• Relational databases: Teradata Vantage, SQL Server, PostgreSQL, MySQL
• Geospatial data processing: GeoPandas, PostGIS, SQL Geospatial
• Graph Databases: Neo4j, Cosmos DB with Gremlin
• Data Modelling: Relational Modeling (3NF), Multidimensional Modeling (star/snowflake schema, slow changing dimension, etc.)

Soft Skills & Leadership Competencies

• Strong analytical thinking and problem-solving capabilities.
• Excellent communication skills, with the ability to engage both technical and non-technical stakeholders.
• Collaborative mindset and ability to work effectively in cross-functional teams.
• High level of initiative, autonomy, and ability to manage multiple priorities.
• Adaptability to fast-paced environments and emerging technologies.
• Technical leadership and mentoring capabilities.
• Strategic vision and business-oriented approach to data solutions.

Preferred Qualifications

• Certifications in Azure, Databricks and Teradata.
• Experience with CI/CD pipelines, Git, and DevOps practices.
• Familiarity with data governance frameworks and GDPR compliance.