Data Engineer

Job Description :

  • 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.  

Main Tasks:

  • 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.

Technical skills:

  • Academic background in Engineering, Economics, Computing, Mathematics, Statistics or related fields
  • 3+ years of experience in data engineering, with a strong background in data architecture
  • 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 
  • Fluency in English 

Soft skills:

  • Be driven, enthusiastic and dynamic in search of improving processes, controls & procedure
  • Be pro-active, enthusiastic and able to work well in a team

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