Data Engine

Inetum
PT - lisboa
May 4, 2025

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.

About the Role

We are looking for a Data Engineer to be responsible for building and maintaining the infrastructure that supports the organization's data architecture.

The role involves creating and managing data pipelines using Airflow for data extraction, processing, and loading, ensuring their maintenance, monitoring, and stability.

The engineer will work closely with data analysts and end-users to provide accessible and reliable data

Main Tasks and Responsibilities:

Responsible for maintaining the infrastructure that supports the current data architecture

Responsible for creating data pipelines in Airflow for data extracting, processing, and loading

Responsible for data pipelines maintenance, monitoring, and stability

Responsible for providing data access to data analysts and end-users

Responsible for DevOps infrastructure

Responsible for deploying Airflow dags to production environment using DevOps tools

Responsible for code and query optimization

Responsible for code review

Responsible for improving the current data architecture and DevOps processes

Responsible for delivering data in useful and appealing ways to users

Responsible for performing and documenting analysis, review, and study on specified regulatory topics

Responsible for understanding business change and requirement needs, assess the impact and the cost

Technical skills:

Advanced Python (Mandatory)

Experience in creating APIs in Python - At least Flask

Experience in documenting and testing in Python

Advanced SQL skills and relational database management (Oracle is Mandatory, SQL server is desirable, PostgreSQL is desirable )

Experience with Data Warehouses

Hadoop ecosystem - HDFS + Yarn

Spark Environment Architecture

Advanced PySpark

Experience in creating and maintaining distributed environments using Hadoop and Spark

Data Lakes - Experience in organizing and maintaining data lakes - S3 is preferred

Experience with Parquet file format is mandatory, Avro is a plus

Apache Airflow - Experience in both pipeline development and deploying Airflow in distributed environment

Containerization - Docker

Kubernetes

Apache Kafka

Experience in automating applications deployment using DevOps tools - Jenkins

Ansible is a plus

Agile methodologies (At least SCRUM)

Language Skills:

Fluent in English

Read the full job description and apply online on the recuiter's web-site

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