Key Responsibilities:
Develop and Maintain Data Pipelines: Design, develop, and maintain efficient and scalable ETL (Extract, Transform, Load) processes using tools like Talend to move data between source systems and our data warehouse.
Data Integration: Assist in integrating various data sources, ensuring data is consistently available, accurate, and up-to-date across systems.
Database Management: Work with relational databases such as Oracle, writing complex SQL queries to retrieve, manipulate, and analyze data as required by business needs.
Data Quality and Governance: Support data quality initiatives by performing data validation, cleaning, and ensuring adherence to data governance policies.
Performance Optimization: Monitor and optimize ETL processes and database performance, helping to identify bottlenecks and improve efficiency.
Collaboration: Work closely with senior engineers, data scientists, and business stakeholders to understand data requirements and deliver high-quality data solutions.
Documentation: Maintain thorough documentation of data processes, pipeline workflows, and technical specifications to ensure knowledge sharing and continuity.
Educational Background: Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
Technical Skills:
Proficiency in SQL for data querying and manipulation.
Knowledge of Oracle databases and experience with writing and optimizing complex SQL queries.
Experience or familiarity with ETL tools, particularly Talend.
Basic understanding of data modeling, database design, and data warehousing concepts.
Analytical Skills: Strong analytical and problem-solving skills with the ability to understand complex data structures and processes.
Attention to Detail: Keen attention to detail and commitment to delivering high-quality work.
Communication Skills: Strong written and verbal communication skills, with the ability to convey technical concepts to non-technical stakeholders.
Team Player: Ability to work effectively in a team environment and collaborate with cross-functional teams.
Preferred Qualifications:
Experience with additional ETL tools or data integration platforms.
Familiarity with cloud-based data platforms (AWS, Azure, Google Cloud).
Basic knowledge of programming languages like Python or R for data manipulation and analysis.
Understanding of big data technologies such as Hadoop or Spark.
At Natixis, we are committed to fostering a working environment where each and every one of our people is treated with dignity and respect and where every voice is heard. Our differences make us collectively stronger and are a source of fulfilment, innovation and performance.
In the framework of its Diversity, Equity & Inclusion policy, Natixis in Portugal has implemented a Blind CV Screening process, with the purpose of reducing hiring bias. A blind CV excludes any personal details which refer to the applicant’s gender, age or ethnicity. When applying for our positions, please submit a blind CV, that is, with no picture, name, gender, age, nationality, ethnicity and address. Your personal statement, work experience, courses and certifications, education, skills and contact information is what matters to us.
#MuchMoreThanJustAJob
Early morning. Campo 24 de Agosto. In 4 minutes, you are clocking in at the office. Start your day having breakfast with the Team and grab fresh fruit on the way to your seat, in one of Porto’s most typical neighborhoods. This Purple Day is going to be a busy one: daily meeting ensuring all team members are on the same page regarding work status, priorities and blockers, language class and, just after, a Talent Management meeting with your manager, discussing your career path.
Lunch break. Today, your Team is onboarding newcomers, but also welcoming French colleagues: the perfect excuse to walk downtown and bond over a francesinha. When returning, inhale nature and peace of mind in Natixis Urban Garden (look at the crops; ready to harvest!).
Back inside. Brainstorming session on a new, exciting project in our disruptive and immersive Manaus Village. The afternoon went flying (tasks, meetings, some jokes with your teammates). End it on a high note: celebrating cultural diversity with a Diwali, the Indian festival of lights.
Tomorrow, you attend a conference led by influential speakers in your industry and, the day after, you will work from home, benefitting from some focus time to complete that report and soft skills course on LinkedIn Learning. Once you are done with your work for the day, strike the right note playing with Natixis band or be part of a board games session. If that is too steady for you, meet your colleagues to catch some waves or sail the Douro river during golden hour.
