Data Engineer Lisboa ou Porto Lisboa

Data Engineer Lisboa ou Porto
Lisboa
Lisboa, Lisboa, Portugal

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
- technical stakeholders, including data analysts, product managers, and business leaders

Prioritize and manage multiple projects simultaneously, meeting deadlines and delivering
- 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

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
- functional teams

Strong organizational skills, with the ability to prioritize multiple projects and meet deadlines

Language Skills

English