Data Engineer

RED Global; Alessandria; Remoto; EUR 35.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading client partner in Italy is seeking a Senior Data Engineer to join their banking and insurance projects on a remote basis. The role involves managing complex data environments, supporting the design of innovative solutions, and utilizing skills in Python, SQL, and Azure Data Factory. This opportunity promises involvement in challenging projects and offers the chance to work in a dynamic team setting while enhancing your expertise in the data engineering field.

Competenze

• Experience as a Senior Data Engineer.
• Familiarity with data lifecycle management and ETL processes.
• Ability to work independently in an agile setup.

Mansioni

• Support the design and implementation of data solutions.
• Participate in the development of new systems.
• Work collaboratively within a team on complex data environments.

Conoscenze

Data Analytics

Python

SQL

Strumenti

Azure Data Factory

Informatica

Terraform

PowerShell

Spark

Descrizione del lavoro

On behalf of a Key Client Partner in Italy, I am currently searching for Data Engineers to be joining new banking / insurance projects.

• Please find the details below;

Role : Data Engineer - Azure Duration : 6 months + Possible extension Location : 100% Remote Capacity : Full time English B2 (Italian nice to have but not a must)

Scope : You are an integrated part of the team. By working on our platform, you will gain a deep insight into data solutions and business requirements . You will support the design and implementation of our future setup and your expertise will help us to make the right decisions, implement new solutions and smooth migrations on our journey.

• Skills;

Senior Data Engineer packed with experience to enrich the team Experienced and motivated to work in a complex data environment by supporting the operational system and participating in the development of the new system Excellent understanding of the context in data management, the entire data lifecycle as well as processes and tools involved High awareness and demand for safety, quality and robustness Experience with ETL and respective tools No aversion to SQL, Informatica, ControlM and the like Performing in an agile setup and used to working independently and in a team eager to apply your experience with big data and learn new skills Experience with a range of data engineering toolset and scripting languages Experience with Azure DevOps, Terraform, Data Factory, Synapse, Spark, PowerShell, Python is an advantage

Must have : Python Sql Data Analytics Azure Data Factory

If you are interested and available, please apply or send an email to for immediate consideration.