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2 дня назад

Data Analyst/Data Engineer (French-speaker)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
Portugal
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Data Analyst/Data Engineer (French-speaker) (SQL/ETL): Developing data solutions and operational support for a business investment banking and financial services project with an accent on advanced SQL, relational data modeling, data warehouses, and ETL pipelines. Focus on designing complex queries and stored procedures, optimizing data processing, and working with Kimball methodology and Stambia or comparable ETL tools.

Location: Hybrid in Porto, Portugal; the conditions also mention Lisboa.

Company

hirify.global delivers technology projects and support for business investment banking and financial services operations through its technological hub in Portugal.

What you will do

  • Develop innovative data solutions for business investment banking and financial services operations.
  • Write, optimize, and maintain complex SQL queries, joins, stored procedures, and related data processes.
  • Apply relational database and data warehouse concepts using the Kimball methodology.
  • Work with Stambia or other ETL tools to support data integration and transformation.
  • Collaborate on technology solutions and operational support for the project.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
  • 6–9 years of professional experience.
  • Advanced SQL skills are mandatory, including complex queries, joins, optimizations, and stored procedures.
  • Strong understanding of relational databases and data warehouse concepts, including the Kimball methodology.
  • Direct experience with Stambia is a major asset; alternatively, solid experience with Talend, Informatica, SSIS, Data Factory, or dbt and a strong willingness to adapt to Stambia.
  • Fluent French and English.

Nice to have

  • Hands-on experience with Power BI, including DAX formulas and Power Query/M.
  • Experience in banking, finance, or insurance, including financial instruments, regulatory compliance, risk management, or retail banking data.
  • Experience with Azure, AWS, or GCP.
  • Knowledge of Python or Unix/Linux scripting.

Culture & Benefits

  • Health insurance.
  • Personalized training plan with a budget for selected training.
  • Regular feedback supporting professional growth.
  • Remote onboarding process.
  • Team events every semester and partner discounts.
  • Culture of proximity and transparency, with employee ideas and needs valued.

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