Data Engineer

Estiatech - Passion For Technology; Lazio; Ibrido; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

Un leader nel settore della tecnologia cerca un Senior Data Engineer a Roma/Hibrido. La posizione coinvolge la progettazione di pipeline dati e architetture, oltre alla collaborazione con team interfunzionali. È richiesta un'esperienza di 10 anni in IT, con focus sull'ingegneria dei dati. Offriamo un ambiente di lavoro ibrido, uno stipendio competitivo e opportunità di crescita.

Servizi

Ambiente di lavoro ibrido

Pacchetto stipendio competitivo

Opportunità di lavorare su progetti innovativi

Competenze

• 10+ anni di esperienza nel settore IT, con almeno 5 anni concentrati su Data Engineering.
• Esperienza nella progettazione di pipeline dati e integrazione in tempo reale.
• Capacità di fornire leadership tecnica e tutoraggio ad ingegneri junior.

Mansioni

• Progettare e implementare pipeline dati affidabili ed efficienti.
• Integrare dati da varie fonti e sviluppare architetture dati scalabili.
• Collaborare con team interfunzionali per implementare soluzioni innovative.

Conoscenze

Python (incluso PySpark)

SQL

Unix scripting

Data pipeline design

Geospatial data processing

Experienza in Databricks

Esperienza in database a grafo

Strumenti

Databricks

Teradata Vantage

Azure Cloud Data Services

Neo4j

Cosmos DB

Descrizione del lavoro

Location: Rome / Hybrid

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

Position: Senior Data Engineer

Estiatech Srl is partnering with a leading global group in the Telecommunications and Technology sectors to find a talented 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.

Key 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, with the ability to turn complex challenges into actionable solutions.
• Exceptional communication skills and the ability to engage with both technical and non‑technical stakeholders.
• Collaborative mindset and the ability to work effectively in cross‑functional teams.
• High level of initiative, autonomy, and capacity to handle multiple priorities in a fast‑paced environment.
• Ability to provide technical leadership and mentor junior engineers, fostering growth within the team.
• 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.