Data Engineer
BNP Paribas CIB
Data: há 1 dia
Cidade: Lisboa, Lisboa
Tipo de contrato: Tempo total

Keywords: Capital Markets, Quantitative Data Intelligence, Python, SQL, GIT, Optimization
Your Main Activities Are
The Quantitative Data Intelligence (QDI) team is responsible for providing data, insights, and analysis to Global Markets front office.
The team aims to build a solid database from various sources and develop analysis, reports and dashboards to provide valuable insight to the Front Office in a rapid, agile manner.
Our team is responsible for multiple steps regarding data processing: Data Feeds industrialization, ETL, Data Warehousing and Data Visualization. We are in direct contact with business sponsors, sales, and traders.
We seek to shape the technologies available to the client's needs - we plan in processing the data using Python and SQL, while delivering the final product in Tableau, Power BI, APIs, and Chat bots.
Why joining BNP Paribas?
To find out more on why you should join BNP Paribas visit https://bnpp.lk/why-BNP-Paribas-Portugal
Your Main Activities Are
- Leverage large volumes of data from internal sources
- Develop, maintain, and support data pipelines
- Understand and be the point of contact for the business and assess its needs
- Ensure architecture meets business requirements
- Recommend ways to efficiently provide quality data and added value
- Communicate technical information to non-technical stakeholders, including data analysts, product managers, and business leaders
- Prioritize and manage multiple projects simultaneously, meeting deadlines and delivering high-quality results
- 3+ years of experience in data engineering, with a strong background in data architecture
- Academic background in Engineering, Economics, Computing, Mathematics, Statistics or related fields
- Availability to work in the hybrid model or in person in the Lisbon or Porto office
- Professional experience in any data visualization tool such as Tableau or Power BI
- Professional experience in data analysis with programming, preferably Python (Pandas)
- Proficiency in SQL
- Fluency in written and spoken English
- Ability to analysze, synthetize and simplify.
- Knowledge of descriptive statistics and hypothesis testing is a plus.
- Knowledge in Big Data technology such as Pyspark, Presto and Airflow is a plus
- Knowledge of Power Query and DAX is a plus
- Excellent communication and interpersonal skills, with the ability to work effectively with cross-functional teams
- Strong organizational skills, with the ability to prioritize multiple projects and meet deadlines
- Tableau/PowerBI or other visualization tools
- CI / CD (Jenkins)
- Knowledge and interest in financial markets are a plus
The Quantitative Data Intelligence (QDI) team is responsible for providing data, insights, and analysis to Global Markets front office.
The team aims to build a solid database from various sources and develop analysis, reports and dashboards to provide valuable insight to the Front Office in a rapid, agile manner.
Our team is responsible for multiple steps regarding data processing: Data Feeds industrialization, ETL, Data Warehousing and Data Visualization. We are in direct contact with business sponsors, sales, and traders.
We seek to shape the technologies available to the client's needs - we plan in processing the data using Python and SQL, while delivering the final product in Tableau, Power BI, APIs, and Chat bots.
Why joining BNP Paribas?
- Leading banking institution
- Our presence in Portugal
- International reach
- Retail Banking, a division that brings together all of the Group’s retail activities and specialised business lines;
- Investment & Protection Services that include specialised businesses offering a wide range of savings, investment and protection services;
- Corporate & Institutional Banking division that offers tailored financial solutions for corporate and institutional clients.
- Diversity and Inclusion commitment
- Commitment towards work/life balance
- Remote Working Conditions
To find out more on why you should join BNP Paribas visit https://bnpp.lk/why-BNP-Paribas-Portugal
- Please note that only applications submitted in English will be considered.
- In case you are selected for this role, further documentation will be requested to support your hiring process.
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