IA Data Engineer
At a glance
Mid-level Data Engineering role at Inetum. Lisbon · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build databases, warehouses and pipelines that handle data efficiently at scale
- Prepare information from multiple sources for BI and AI through ETL workflows
- Track data-system performance and improve availability and efficiency
- Work with BI teams to shape data structures around their consumption needs
- Combine data from different platforms for advanced analysis
What you bring
- At least two years in a comparable data engineering role
- A degree in computer engineering or a related discipline
- Hands-on data modeling and pipeline development experience
- Knowledge of Python, R and Java FX Script, plus ETL and data integration practices
- Analytical judgment and good English skills
Who this fits
This mid-level role suits someone focused on data engineering for AI, analytics and machine learning work. The position is based in Picoas, Lisbon, with office attendance capped at three days per week.
From the employer
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.
We are looking for a Data Engineer with a strategic focus on Artificial Intelligence to strengthen our AI knowledge hub. This role will be key to ensuring the construction of robust and scalable data pipelines, supporting innovative projects in advanced analytics and machine learning.
Responsibilities:
- Design and build scalable and efficient data systems (databases, data warehouses, and pipelines).
- Extract, transform, and load (ETL) data from multiple sources, preparing it for BI and AI.
- Monitor and optimize the performance of data systems, ensuring availability and efficiency.
- Collaborate with BI teams to define data needs and structure for consumption.
- Aggregate data from various platforms for advanced analysis.
- Minimum of 2 years of experience in a similar role.
- Degree in Computer Engineering or a related field.
- Previous experience in data modeling and pipeline development.
- Strong knowledge of Python (preferred), R, and Java FX Script.
- Familiarity with ETL processes and best practices for data integration.
- Analytical skills and critical thinking.
- Good command of English.
- Workplace type: Hybrid (max. of 3 times per week in the office)
- Location: Picoas, Lisboa
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