Data Engineer (Teradata) - Datalab & Datamart Specialist

Adentis Portugal; Lisboa; Presencial; EUR 45 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Great Work-Life balance

Flexible schedule

Health benefits

Discount programs

Professional development

Regular performance feedback

Career progression

Resumo da oferta

Adentis Portugal looks for a data engineering professional to contribute to Datalab and Datamart solutions using Teradata technology, collaborating with the Tribe.

You will develop data collection, storage, and processing solutions, and create exposure views for MSBI or Qlik Sense, using SQL, Teradata, and BTEQ. Onsite 1–2 days per week, with a focus on collaboration and high-quality delivery.

Qualificações

• Solid experience with SQL and relational DBs, Teradata and BTEQ scripting.
• Unix environments and shell scripting for data processing.
• Strong data modelling knowledge for Datalab/Datamart solutions.
• Experience with data aggregation and scoring processes.
• Familiarity with MSBI or Qlik Sense exposure for reporting.

Responsabilidades

• Contribute to Datalab and Datamart development using Teradata in collaboration with the Tribe.
• Develop data collection, storage, and processing solutions and ensure availability.
• Create data exposure views for analytical tools (MSBI/Qlik Sense).
• Work on project tasks and production processes, troubleshooting as needed.

Conhecimentos

SQL

Teradata

BTEQ scripting

Unix shell scripting

Data modelling

Data aggregation

Qlik Sense exposure

MSBI exposure

CI/CD pipelines

Git

Monitoring tools

Team collaboration

Ferramentas

Teradata tools

MSBI

Qlik Sense

Descrição da oferta de emprego

Adentis Portugal looks for a data engineering professional to contribute to Datalab and Datamart solutions using Teradata technology, collaborating with the Tribe.

You will develop data collection, storage, and processing solutions, and create exposure views for MSBI or Qlik Sense, using SQL, Teradata, and BTEQ. Onsite 1–2 days per week, with a focus on collaboration and high-quality delivery.