Senior Bigdata Engineer

Senior BigData Engineer

Natixis in Portugal is a Centre of Expertise with the mission to transform traditional banking by developing solutions for Groupe BPCE's businesses, operations and work culture worldwide, driven by an innovation mindset, in a financial tech ecosystem.

Natixis in Portugal is part of the Global Financial Services division, where it applies technology for the development of financial expertise in its two global business lines – Corporate & Investment Banking and Asset & Wealth Management – and, transversally, for Groupe BPCE entities.

The Centre of Expertise, based in Porto, currently has more than 2700 employees from 40 nationalities, organised in three main departments: Information Technology, Banking Support Activities and Compliance. These teams work in an integrated, inclusive and transversal way, supporting and creating value for all the business lines and platforms of the group. Natixis in Portugal is the International Competence Centre (with an export orientation) which employs the largest number of people in the Porto district. The project in Porto is one of the biggest investments in Human Resources ever made by Groupe BPCE worldwide.

A disruptive mindset and a culture of proximity and agility identify Natixis Team and reflect the company's mission to transform traditional banking at a global scale: a perfect match in the Portuguese dynamics and entrepreneurial ecosystem.

In 2025, Top Employers Institute has awarded Natixis in Portugal the Top Employer Portugal accreditation for the third time. This certification recognizes excellence in people practices, following the example of its head office, in France, who was certified Top Employer France for the nineth year in a row.

Job Description

We are looking for a Data Engineer with a background in Big Data. This position will be integrated in the IT GBCR Data Management & BI department within the CIB business unit, in the Chapter Big Data.

Qualifications

Experience with Big Data and NoSQL Technology (Hadoop, HDFS, Hive, Kerberos);

Experience with SQL (Oracle, MS SQL);

Optimization and performance improvement experience will be a plus (Shell Script; Execution plan);

Knowledge in languages (Python, Spark, PySpark, Java, Scala);

Familiarity with DevOps concepts;

Source Code Management (Git, Azure devops );

Analyze and test different design solutions;

Investigate data issues and lead the steps towards their resolution;

In addition, the candidate should have:

Previous experience as Data Analyst, Data Engineer or similar role;

Very good communication (written and oral) and interpersonal skills;

Good level of English (at least C1);

Previous experience in Banking IT topics would be a plus.