Offer summary

Qualifications:

Bachelor's degree in Computer Science, Engineering, or other STEM fields is mandatory., Experience with data applications, databases, and strong knowledge of SQL and ETL tools., Good team working capabilities in medium to large project teams across multiple locations., Fluency in English is required, with additional languages like Italian being a plus..

Key responsabilities:

Design, build, and deploy data solutions while monitoring systems and developing integrations.

Gather requirements and facilitate business process discussions, ensuring proper documentation and support.

Coordinate with project managers and functional teams to deliver projects on time and within budget.

Support the execution of finance programs and projects as a Developer and Technical Analyst.

Job description

As Data Engineer you will be accountable for designing, building, and deploying solutions, monitoring systems, and developing integrations with other applications. This role includes hands-on development, responsibility for helping our stakeholders adopt solutions that drive business outcomes and gain return on investment.

Key tasks and responsibilities

Accountable for designing, building, and deploying solutions, monitoring systems, and developing integrations with other applications
Responsible for requirements gathering, facilitation of business process discussions, solution design and documentation, application administration & configuration, testing, and end-user support
Provide direction and leadership in promoting and implementing best practice solutions for both business process and technology
Coordinate with projects PM and Functional Team to reach the common goal of delivering on time, in budget and high quality
build processes supporting data transformation, data structures, metadata, and data blueprints.
design and optimize big data pipelines, architectures and data sets
Support the execution of main Finance programs and projects in the role of Developer and Technical Analyst

Qualification and competencies

Experience with data applications, databases, very good knowledge of SQL, Procedural Language, ETL Tools, scripting and Programming Languages
Proficiency in Data Model design and SQL Language (perform Data analysis, Data model implementation, query optimization)
2+ supporting on service technology (incident management, knowledge management, etc.) or development in a global organization
Good team working capabilities, in the context of medium to large project teams distributed among multiple countries / locations
Experience in delivery methodologies (Waterfall/Agile)
High risk awareness and solution-oriented approach
Ability to adapt to new technologies
Bachelors degree in Computer Science, Engineering, or other STEM faculties is mandatory
Fluency with English language

Nice to have: