Data Engineer, Inetum

Inetum

Location:
Portugal, Lisbon

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

Save Job

Apply Position

Job Description:

Quantitative Data Intelligence 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.

Job Responsibility:

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

Requirements:

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

Nice to have:

Knowledge of descriptive statistics and hypothesis testing
Knowledge in Big Data technology such as Pyspark, Presto and Airflow
Knowledge of Power Query and DAX

Additional Information:

Job Posted:
June 05, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

View All Jobs In This Company

Job Link Share:

Data Engineer