Senior Data Engineer (Teradata) at Inetum

Lisbon, , Portugal -

Full Time

Start Date

Immediate

Expiry Date

21 May, 26

Salary

0.0

Posted On

20 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Teradata, Sql, Control-M, Unix, Ab Initio, DevOps, Ci/Cd, Git, Jira, Confluence, Mega, Zeenea, Data Warehousing, Etl Development, Automation, Analytical

Industry

IT Services and IT Consulting

Description

Company Description Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good. Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility. Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023. Job Description At Inetum, we empower innovation and growth through cutting-edge technology. We are looking for a skilled and motivated Data Engineer to join our team and contribute to the design, development, and optimization of data solutions that support business intelligence and analytics. If you're passionate about data, thrive in collaborative environments, and enjoy solving complex challenges, this opportunity is for you! Qualifications 🔧 Key Responsibilities & Technical Skills As a Data Engineer, you will work with a modern data stack, and expected to be a master of the following technologies: Teradata – advanced SQL and data warehousing CONTROL-M – job scheduling and automation UNIX – working in a UNIX environment (directories, scripting, etc.) SQL (Teradata) – strong querying and data manipulation skills Ab Initio – data integration and ETL development DevOps – CI/CD practices and automation Collaborative tools – GIT, Jira, Confluence, MEGA, Zeenea 🤝 Soft Skills We Value Strong sense of service and commitment to delivering quality. Excellent interpersonal and communication skills – both written and verbal. Active listening and the ability to understand user needs. Strong analytical and synthesis capabilities. Ability to organize, adapt, and manage priorities. A team player who thrives in collaborative environments. High level of autonomy and self-motivation. Natural curiosity and eagerness to learn and grow.

Responsibilities

The Data Engineer will be responsible for the design, development, and optimization of data solutions that support business intelligence and analytics using a modern data stack. Key tasks involve advanced SQL querying, data integration, ETL development, and job scheduling.