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 and look after data pipelines that can scale while remaining efficient
- Improve how large datasets are gathered, stored and processed
- Work with data scientists, analysts and business stakeholders to clarify their data needs
- Protect data quality, integrity and security across systems, and implement storage across cloud, hybrid or on-premises setups
What you bring
- A degree or master's in computer science, management informatics or a related area
- Practical experience with Spark, including PySpark, Cloudera and SQL
- Experience with Hive/Impala and data warehouses, data lakes or similar listed tools
- A solid grasp of data architecture and distributed systems, plus fluent English
Who this fits
This role suits a data engineer who can build pipelines and work across data teams and business stakeholders. You’ll be based in Lisbon, Portugal, with a hybrid arrangement.
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.
Are you passionate about building scalable data solutions and transforming raw data into meaningful insights? Inetum is looking for a Data Engineer to join our team in Lisbon and help drive innovation through data.
🔍 Responsibilities:
- Design, develop, and maintain scalable and efficient data pipelines.
- Optimize data collection, storage, and processing for large datasets.
- Collaborate with data scientists, analysts, and business stakeholders to understand data needs.
- Ensure data quality, integrity, and security across systems.
- Implement data storage solutions in cloud, hybrid, or on-premises environments.
- Degree or Master in Computer Science, Management Informatics or similar.
- Hands-on experience with:
- Spark (PySpark)
- Cloudera
- SQL
- Hive/Impala
- Data Warehouses / Data Lakes
- Strong understanding of data architecture and distributed systems.
- Fluent in English (mandatory).
- French is a plus.
📍 Location: Lisbon, Portugal (Hybrid)
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