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Senior Data Engineer

Sky Italia

Milano

In loco

EUR 60.000 - 90.000

Tempo pieno

Oggi
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Descrizione del lavoro

A leading broadcast media company in Milan is seeking a Senior Data Engineer. You will build efficient data processing systems using Python and SQL. The role requires at least 7 years of experience in data engineering, business intelligence, and data science. Candidates should possess a BSc in Maths or Computer Science and be fluent in Italian and English. This full-time position offers a chance to work with innovative data processing frameworks in a collaborative environment.

Competenze

  • At least 7 years of experience at the intersection of data engineering, business intelligence, and data science.
  • Experience in Data Modeling and building data pipelines for MPP databases.
  • Fluent in Italian and English.

Mansioni

  • Build large-scale batch and real-time data processing systems with Python and cloud platforms.
  • Facilitate collaboration with software engineers, data scientists, and product managers.
  • Design, develop, test, monitor, manage, and validate the Data Platform activity.

Conoscenze

Python
SQL
Data Modeling
Data pipelines
English
Italian

Formazione

BSc in Maths or Computer Science

Strumenti

Apache Beam
Apache Spark
GCP products suite
Descrizione del lavoro
Senior Data Engineer at Sky Italia

Join to apply for the Senior Data Engineer role at Sky Italia.

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. Evolving 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 improving 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

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: Broadcast Media Production and Distribution

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