GCP Data Engineer: ETL, Spark & Big Data

BE001 ONEPOINT SA; Brussel Hoofdstad; On-site; EUR 65,000 - 100,000; Full time

Job summary

Onepoint is seeking a Google Cloud Platform - GCP Data Engineer to design, develop, and maintain robust data pipelines and optimize databases. You will work with Spark, Hadoop, Kafka, and GCP to deliver ready-to-use data for Data Science and BI teams.

You will ensure data quality and security, comply with GDPR, and contribute to defining data architecture and cloud solutions across AWS, GCP, and Azure. Agile collaboration is expected.

Qualifications

• Master's degree in computer science or business (or equivalent).
• Strong Python and SQL programming skills.
• Experience with relational databases (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra).
• Proficiency with Apache Airflow and Luigi for pipeline orchestration.
• Hands-on with Big Data: Spark, Hadoop, Kafka.
• Cloud focus on Google Cloud Platform (GCP).
• Knowledge of data flows, data preparation techniques, and data visualization.

Responsibilities

• Design, develop, and maintain robust data pipelines (ETL/ELT).
• Manage and optimize databases (SQL/NoSQL) for data availability and integrity.
• Implement Big Data solutions using Hadoop, Spark, and Kafka.
• Collaborate with Data Science and BI teams to deliver ready-to-use data.
• Ensure data quality, security, and GDPR compliance.
• Define data architecture and implement cloud solutions (AWS, GCP, Azure).
• Automate processes and optimize data processing performance.

Skills

Python

SQL

Agile

Data visualization

Data preparation

Education

Master in computer sciences / Business or equivalent experience

Tools

Apache Airflow

Luigi

Apache Spark

Hadoop

Kafka

Google Cloud Platform (GCP)

PostgreSQL

MySQL

MongoDB

Cassandra

Job description

Onepoint is seeking a Google Cloud Platform - GCP Data Engineer to design, develop, and maintain robust data pipelines and optimize databases. You will work with Spark, Hadoop, Kafka, and GCP to deliver ready-to-use data for Data Science and BI teams.

You will ensure data quality and security, comply with GDPR, and contribute to defining data architecture and cloud solutions across AWS, GCP, and Azure. Agile collaboration is expected.