Data Engineer

EstiaTech - Passion for Technology; Roma; In loco; EUR 60.000 - 80.000; Tempo pieno

Descrizione del lavoro

Un'azienda di consulenza tecnologica è alla ricerca di un Senior Data Engineer a Roma, che avrà il compito di progettare pipeline dati e sviluppare architetture scalabili. Il candidato ideale avrà oltre 10 anni di esperienza nell'IT, con forte competenza in Python e SQL. La posizione offre un ambiente di lavoro ibrido e opportunità di crescita in un team innovativo.

Servizi

Ambiente di lavoro ibrido

Pacchetto retributivo competitivo

Opportunità di crescita nella big data

Competenze

• Oltre 10 anni di esperienza nel settore IT, con almeno 5 anni in Data Engineering o Data Governance.
• Esperienza nella progettazione di pipeline di dati e integrazione in tempo reale.
• Conoscenza avanzata di Python, SQL e scripting Unix.

Mansioni

• Progettare e implementare pipeline di dati su Databricks, Teradata Vantage e Azure Data Services.
• Integrare dati da varie fonti: database relazionali, cloud, piattaforme di eventi.
• Sviluppare architetture dati scalabili per business intelligence e machine learning.

Conoscenze

Ingegneria dei dati

Python

SQL

Unix scripting

Databricks

Teradata Vantage

Azure Cloud Data Services

Geospatial Data Processing

Graph Databases

Descrizione del lavoro

📍 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 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 .
• A 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.