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Data Engineer

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1 Vacancy
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Job Location drjobs

Lisbon - Portugal

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

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 clients 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            

Qualifications :

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 analyze 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                       

 

Language Skills

  • English                           


Remote Work :

No


Employment Type :

Full-time

Employment Type

Full-time

Company Industry

About Company

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