Data Scientist

Experteer Italy; Italia; Ibrido; EUR 55.000 - 75.000; Tempo pieno

Vantaggi offerti da questo lavoro

Flexible working arrangements

Opportunities for professional growth

Hybrid position

Supportive team environment

Descrizione del lavoro

Experteer Italy seeks a Data Engineer to design and implement data architectures that enable analytics across the organization. The role is hybrid and Milan-based, offering growth opportunities and a chance to impact business decisions through advanced data capabilities.

You will collaborate with cross-functional teams, ensure data quality and accessibility, and work with SQL, ETL, and big data technologies to deliver scalable data solutions.

Competenze

• Strong experience in data modeling and ETL processes.
• Proficiency in SQL and database management systems.
• Familiarity with big data technologies such as Hadoop or Spark.
• Knowledge of data warehousing concepts and tools.
• Ability to work with data visualization tools to support reporting.

Mansioni

• Design and implement data architectures for analytics.
• Ensure data quality and accessibility across the organization.
• Support critical data projects that inform decision-making.
• Collaborate with cross-functional teams to deliver data solutions.

Conoscenze

Data modeling

ETL processes

SQL

Database management

Big data (Hadoop/Spark)

Data warehousing

Data visualization

Cross-functional collaboration

Data quality

Analytics support

Strumenti

Hadoop

Spark

ETL tools

Descrizione del lavoro

As a Data Engineer, you will design and implement data architectures that enable analytics across the organization. You will collaborate with cross-functional teams to support data projects that drive better decision-making. You’ll focus on data quality, accessibility, and scalable data solutions in a hybrid Milan-based role. This position offers growth opportunities and a chance to impact the business through advanced data capabilities.

• flexible working arrangements
• opportunities for professional growth
• hybrid position
• supportive team environment
• design and implement data architectures for analytics
• ensure data quality and accessibility across the organization
• support critical data projects that inform decision-making
• collaborate with cross-functional teams to deliver data solutions
• strong experience in data modeling and ETL processes
• proficiency in SQL and experience with database management systems
• familiarity with big data technologies such as Hadoop or Spark
• knowledge of data warehousing concepts and tools
• ability to work with data visualization tools to support reporting