Data Engineer

RED Global; Chieti; Remoto; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A leading company in the banking and insurance sector seeks a Data Engineer for a fully remote role. The successful candidate will possess strong skills in Python, SQL, and Azure Data Factory, contributing to vital data solutions and projects. This position offers a competitive salary and the opportunity to work with cutting-edge data engineering tools in an agile environment.

Competenze

• Senior Data Engineer with experience in data management and engineering.
• Experience with ETL, data lifecycle management, and operational systems.
• Able to work independently and as part of an agile team.

Mansioni

• Support design and implementation of data solutions.
• Gain insights into business requirements through data projects.
• Collaborate in a complex data environment and agile setup.

Conoscenze

Python

SQL

Data Analytics

Azure Data Factory

Strumenti

Azure DevOps

Terraform

Data Factory

Synapse

Spark

PowerShell

Python

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.