This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We are seeking a Data Engineer to design, build, and maintain scalable and reliable data pipelines that enable high‑quality analytics and data consumption across the organisation. This role focuses on developing efficient ETL/ELT solutions using Scala, SQL, and Apache Spark, working with cloud data platforms on Google Cloud Platform (GCP) and supporting workloads on OCI. The individual will collaborate closely with analytics, data science, and product teams to ensure data reliability, performance, and availability at scale.
Job Responsibility:
Build, maintain, and optimise scalable and reliable data pipelines for analytics and downstream data consumption
Design and develop ETL/ELT processes using Scala, SQL, and Apache Spark for large‑scale data processing
Work with distributed systems and big data technologies to process high‑volume datasets efficiently
Leverage cloud‑native data services on GCP and support workloads on OCI where required
Ensure data quality, performance, availability, and reliability across all data pipelines
Collaborate with analytics, data science, and product teams to deliver clean, well‑structured, and consumable datasets
Requirements:
4 to 6yrs experienced data engineering professional with strong hands‑on exposure to big data processing
Skilled in distributed data processing frameworks with a solid understanding of performance optimisation
Experienced in designing robust, scalable, and maintainable data architectures
Proficient in Scala programming and advanced SQL for complex data transformations and analytical queries
Hands‑on with Apache Spark and big data ecosystems, including Cassandra and Redis
Experienced with GCP services such as BigQuery, Cloud Composer, and Cloud Storage
Comfortable working in multi‑cloud environments, with exposure to OCI considered an advantage
A collaborative communicator with strong problem‑solving skills and a focus on data quality and reliability
German language proficiency is desirable
Nice to have:
German language proficiency is desirable
exposure to OCI considered an advantage
What we offer:
Opportunities to work on large‑scale, cloud‑based data platforms with global impact
Exposure to complex data engineering challenges across multi‑cloud environments
Collaboration with diverse, cross‑functional teams across analytics, data science, and product domains
A supportive environment that values learning, inclusion, and continuous improvement