Senior Data Engineer

Duferco; Italia; In loco; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading global company in Italy is seeking a Senior Data Engineer to enhance their cloud-based data solutions. You will design and optimize data pipelines, manage end-to-end engineering tasks, and collaborate with stakeholders to align data structures with business needs. Ideal candidates have a Master’s or Ph.D. in a relevant field, extensive dbt and SQL experience, and familiarity with AWS technologies. This is an excellent opportunity to contribute to innovative data projects in a dynamic environment.

Competenze

• Proven expertise with dbt (core or cloud) in production environments.
• Hands-on experience with SQL and ETL processes.
• Solid knowledge of data warehousing and data lakes.

Mansioni

• Design and implement dbt models and data pipelines.
• Manage data engineering tasks from requirements to production.
• Develop and optimize cloud-based data solutions.

Conoscenze

dbt expertise

SQL

ETL processes

Data warehousing knowledge

AWS familiarity

DevOps practices

Python backend development

AI solutions experience

Formazione

Master’s degree or Ph.D. in Computer Science or related field

Strumenti

AWS Redshift

AWS S3

CI/CD pipelines

Descrizione del lavoro

Join to apply for the Senior Data Engineer role at Duferco

Duferco is a global company with diversified operations in energy retail and trading, steel manufacturing, insurance, and logistics. Innovation has always been central to our growth and continues to drive our future. The Corporate Innovation Team operates with a start‑up mindset inside a corporate‑backed environment, dedicated to identifying, developing, and deploying cutting‑edge ideas, technologies, and strategies that propel our organization forward.

As we continue to expand, we are actively seeking a highly skilled and experienced Data Engineer to join our dynamic team. In this role you will play a pivotal part in advancing our mission of leveraging cloud‑based tools and technologies for data processing, storage, and management, while also developing customized AI‑driven solutions.

Responsibilities

• Design, implement, and optimize dbt models and data pipelines to ensure high‑quality, maintainable, and scalable transformations.
• Take end‑to‑end ownership of data engineering tasks: from requirements gathering to implementation, testing, and production.
• Develop, maintain, and optimize cloud‑based data solutions for data processing, storage, and management (AWS preferred).
• Ensure data platforms are well‑structured, accessible, and aligned with business needs.
• Collaborate with business and technical stakeholders to translate requirements into robust data models and pipelines.
• Proactively explore emerging tools and technologies to strengthen our data capabilities.
• Contribute to the growth of our innovation team by sharing knowledge, best practices, and mentoring colleagues where needed.

Qualifications

• Master’s degree or Ph.D. in Computer Science, Data Engineering, or a related field.
• Proven expertise with dbt (core or cloud) in production environments.
• Demonstrated ability to work autonomously: making decisions, managing priorities, and delivering value without constant oversight.
• Hands‑on experience with SQL, ETL processes, and data transformation frameworks.
• Solid knowledge of data warehousing, data lakes, and modern data platform practices.
• Familiarity with AWS data stack (Redshift, S3, DMS, etc.).
• Experience with DevOps practices and CI/CD pipelines.
• Backend development experience in Python (nice‑to‑have).
• Experience working on AI‑solutions and time series data (nice‑to‑have).

How to Apply

If you are a skilled Data Engineer with a passion for cloud‑based data solutions, ETL tools, data warehousing, and data lakes—and have experience with time series and enterprise data management, we encourage you to seize this opportunity. Please submit your resume and highlight your experience.