Senior Data Engineer - Data Platform & Analytics

Sky; Milano; In loco; EUR 60.000 - 80.000; Tempo pieno

Descrizione del lavoro

A leading technology company in Milan is seeking an experienced Senior Data Engineer to build high-quality data pipelines and collaborate with teams to enhance data products. The ideal candidate has over 7 years of experience in data engineering and is fluent in both Italian and English. This role involves working with tools like Python and SQL in cloud environments.

Competenze

• Minimum 7 years of experience in data engineering, business intelligence, and data science.
• Experience in building data infrastructures for modern tech companies.
• Fluent in Italian and English.

Mansioni

• Build large-scale batch and real-time data processing systems.
• Collaborate with software engineers, data scientists, and product managers.
• Drive improvements in data quality and performance.

Conoscenze

Python

SQL

Cloud platforms

Data Modeling

Data pipelines

Analytical skills

Formazione

BSc in Maths or Computer Science

Strumenti

Apache Beam

Apache Spark

Descrizione del lavoro

Our Data Engineering team builds highly intuitive data solutions that underpin business functions across Sales, Marketing, Finance and Operations. We are hiring senior data engineers who are passionate about building structured, high-quality data pipelines. These solutions will be used to evolve our products, bringing better experiences to Sky business users and to Sky subscribers. We process terabytes of data using tools such as Python, SQL and GCP products suite (BigQuery and a managed Airflow).

What you’ll do

Build large-scale batch and real-time data processing systems with Python and cloud platforms. Facilitate and drive collaboration with other software engineers, data scientists, and decision‑makers, such as product managers, to build exceptional data‑powered products. Evolve our data pipelines towards technical excellence by improving data quality through testing, tooling and continuously evaluating performance at scale. Perform root cause analysis on data and processes to answer business questions and find opportunities for improvement. Continuously improve our code base by working with innovative data processing frameworks, technologies, and platforms. Design, develop, test, monitor, manage and validate the Data Platform activity, including the definition of the process for the change management of the continuous integration.

Who you are

You are knowledgeable and driven about software engineering. We use languages such as Python, Java and SQL combined with various cloud solutions. Although you might not have a background in our field, bringing knowledge and experience from other fields is merited. You care deeply about agile software processes, reliability, and responsible experimentation as well as being a strong advocate for engineering best practices such as continuous integration and delivery.

Must have

• BSc in Maths or Computer Science or equivalent working experience
• At least 7 years of experience, sitting at the intersection of data engineering, business intelligence and data science
• You understand what it takes to build a very efficient and effective data infrastructure in modern digital and tech companies
• Experience in Data Modeling and building data pipelines for MPP databases
• Fluent in Italian and English

Nice to have

• Experience working with high volume data, preferably with data processing frameworks like Apache Beam, Apache Spark
• Strong analytical skills and love to visualize your data findings in a clear and easy way to understand and to collect corner cases of implementations