Senior Data Engineer

EstiaTech - Passion for Technology; Roma; In loco; EUR 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

Un'azienda leader nella tecnologia con sede a Roma cerca un Senior Data Engineer. La posizione prevede la progettazione e l'implementazione di pipeline dati su piattaforme all'avanguardia. Il candidato ideale ha oltre 10 anni di esperienza, competenze avanzate in Python e SQL, e una forte esperienza in Data Engineering. Offriamo un ambiente di lavoro ibrido e un pacchetto salari e benefici competitivo.

Servizi

Lavoro ibrido

Pacchetto salari competitivo

Progetti innovativi

Competenze

• 10+ anni di esperienza nel settore IT, di cui almeno 5 in Data Engineering.
• Esperienza avanzata in Python, SQL e Unix scripting.
• Competenze in elaborazione dei dati geospaziali e database grafici.

Mansioni

• Progettare e implementare pipeline dati efficienti.
• Integrare dati da varie fonti.
• Collaborare con team interfunzionali per soluzioni innovative.

Conoscenze

Data pipeline design

Real-time data integration

Python

SQL

Unix scripting

Data modeling

Strumenti

Databricks

Teradata Vantage

Azure Cloud Data Services

GeoPandas

Neo4j

PostGIS

Descrizione del lavoro

Overview

Location: Rome / Hybrid

Azienda: Estiatech S.r.l. – Consulting and System Integration Company

Global team

Telecommunications & Technology

Position: Senior Data Engineer

Estiatech Srl is partnering with a leading global group in the Telecommunications and Technology sectors to find a talented Senior Data Engineer. This is an exciting opportunity to join a Big Data division where you\'ll help drive the future of data architecture and solutions at scale.

Responsibilities

• Design and implement reliable, efficient data pipelines on Databricks, Teradata Vantage, and Azure Data Services.
• Integrate data from various sources: relational databases, cloud storage, event processing platforms, web services, and more.
• Develop scalable data architectures that empower business intelligence, machine learning, and Agentic AI.
• Model complex datasets using both relational and multidimensional techniques (e.g., star / snowflake schemas).
• Leverage geospatial and graph data to support advanced analytics and solve complex business problems.
• Collaborate with cross-functional teams (Data Scientists, Analysts, Business Stakeholders) to implement innovative data solutions.
• Ensure data quality, security, and governance across all engineering processes.
• Monitor and optimize the performance of distributed systems and data workflows.
• Contribute to the ongoing evolution of the company’s data strategy and platform architecture.

Required Skills & Experience

• 10+ years of experience in the Information Technology sector, with at least 5 years focused on Data Engineering or Data Governance (preferably in Telecommunications or Finance).
• Extensive experience in data pipeline design, real-time data integration, and platform management (batch, streaming).
• Advanced proficiency in Python (including PySpark), SQL, and Unix scripting.
• Strong knowledge of Data Platforms such as Databricks (Apache Spark), Teradata Vantage, and Azure Cloud Data Services (Fabric, Synapse, Functions).
• Geospatial Data Processing skills (GeoPandas, PostGIS, SQL Geospatial).
• Experience with Graph Databases like Neo4j, Cosmos DB with Gremlin.
• Expertise in data modeling (Relational - 3NF, Multidimensional - star / snowflake schema).
• Soft Skills & Leadership Competencies: strong analytical and problem-solving skills, exceptional communication skills and the ability to engage with both technical and non-technical stakeholders, collaborative mindset, high initiative and autonomy, ability to handle multiple priorities in a fast-paced environment, ability to provide technical leadership and mentor junior engineers, strategic vision and a 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.

Why Join Estiatech?

• Work with a leading global technology solutions provider.
• Be part of an innovative, high-impact team driving cutting-edge data projects.
• Hybrid work environment that promotes work-life balance.
• Competitive salary and benefits package.
• Opportunity to shape the future of big data and advanced analytics across industries.

Ai sensi della normativa vigente l’offerta di lavoro si intende rivolta a entrambi i sessi (L. 903 / 77). I dati saranno trattati e conservati esclusivamente per finalità di selezione presenti e future, garantendo i diritti di cui agli artt. 7 e 13 del D. Lgs 196 / 2003 sulla tutela della privacy.