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.
Descrição do empregoWe are looking for a Mid-Level Data Engineer to design, optimize, and maintain complex data pipelines, ensuring the scalability, reliability, and performance of data solutions. In this role, you will also collaborate with Data Science teams to integrate and operationalize machine learning models in production environments.
Key Responsibilities
- Design, develop, and maintain scalable data pipelines.
- Optimize data processing workflows for large-scale datasets.
- Build and manage data ingestion solutions from multiple sources.
- Ensure data quality, reliability, and performance across platforms.
- Collaborate with Data Science and Engineering teams to deploy and operationalize ML solutions.
- Contribute to software engineering best practices and continuous improvement initiatives.
- Proven experience of 3+ years in Data Engineering.
- Advanced proficiency in Python and SQL.
- Demonstrated ability to design robust, maintainable, and highly scalable solutions for large-scale data processing and performance optimization.
- Hands-on experience with in-memory data processing libraries such as Polars (or equivalent).
- Solid experience with distributed data processing frameworks, particularly PySpark.
- Experience developing data ingestion pipelines leveraging REST APIs.
- Strong knowledge of software development best practices.
- Experience with Git, CI/CD pipelines, and software testing methodologies.
- Experience deploying, monitoring, and maintaining Machine Learning pipelines in production environments.
Nice to have:
- Experience with modern data platforms such as Databricks.
- Experience orchestrating workflows using tools such as Apache Airflow.
- Knowledge of cloud platforms (AWS, Azure, or GCP).
Skills Required
- 3+ years of experience in Data Engineering
- Advanced proficiency in Python and SQL
- Experience designing robust, maintainable, scalable large-scale data processing solutions
- Experience with in-memory data processing libraries such as Polars or equivalent
- Experience with distributed data processing frameworks, particularly PySpark
- Experience developing data ingestion pipelines using REST APIs
- Strong knowledge of software development best practices
- Experience with Git, CI/CD pipelines, and software testing methodologies
- Experience deploying, monitoring, and maintaining machine learning pipelines in production
- Experience with modern data platforms such as Databricks
- Experience orchestrating workflows using tools such as Apache Airflow
- Knowledge of cloud platforms such as AWS, Azure, or GCP
What We Do
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. Top Employer Europe 2024
