About the Company
Inetum is a European leader in digital services.
Inetum's team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society.
Inetum's solutions aim at contributing to its clients' performance and innovation as well as the common good.
Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.
Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.
Mission
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 thehybrid modelor in person in theLisbon or Portooffice
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
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