5 дней назад
Senior Data Engineer - ODS (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer - ODS (Fintech) (Spark/Scala): Designing and optimizing scalable data pipelines and distributed processing solutions for analytics, machine learning, reporting, and banking decision-making with an accent on Apache Spark, cloud data platforms, and production-grade reliability. Focus on building batch and near-real-time pipelines, creating reusable datasets, implementing data quality and monitoring, and optimizing high-volume data environments.
Location: Madrid, Spain
Company
Open Digital Services develops digital banking products and an advanced omnichannel platform for Group and its affiliates.
What you will do
- Design, develop, and optimize large-scale data pipelines using Apache Spark, primarily with Scala and Spark.
- Build and maintain batch and near-real-time processing solutions for high-volume data environments.
- Create reliable, reusable datasets for Analytics, Data Science, Machine Learning, and business teams.
- Use cloud data platforms, ideally AWS, to process, transform, store, and expose data efficiently.
- Implement data quality, validation, monitoring, documentation, testing, CI/CD, and automation practices.
- Collaborate with engineering, architecture, data science, machine learning, and business stakeholders.
Requirements
- 5+ years of experience in Data Engineering, Big Data Engineering, Software Engineering, or a similar technical role.
- Production experience building data pipelines in large-scale or complex data environments.
- Hands-on Apache Spark experience, with strong PySpark, Spark SQL, or distributed processing skills.
- Strong Python or Scala coding skills, solid SQL knowledge, and experience with relational or analytical databases.
- Experience designing and optimizing ETL/ELT processes and working with cloud data platforms such as AWS.
- Professional English is required; fluent Spanish is preferred.
Nice to have
- Experience in banking, fintech, or regulated environments.
- Experience with CI/CD or DevOps tools such as Jenkins, Sonar, Nexus, Jira, or Splunk.
- Experience with Apache Flink, Spark Streaming, Apache Iceberg, Delta Lake, Airflow, or similar tools.
Culture & Benefits
- Work on digital banking products and an advanced omnichannel platform.
- Collaborate across Data Engineering, Data Science, Machine Learning, Architecture, and business functions.
- Work in an environment focused on reliable, maintainable, and customer-oriented software solutions.
- Equal opportunity employment with recruitment decisions based on experience and skills.
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