Descripción de la oferta
MultiSafepay is a leading payment service provider, offering omnichannel and advanced payment solutions to businesses across Europe. In short, we are a true FinTech.
With powerful in-house technology and deep expertise, our modular platform brings online, in-person, and cross-border payments together in one place — giving merchants the flexibility to scale on their own terms. It’s how we level the playing field for businesses of all sizes and ambitions.
Join a leading tech company driving innovation in the payments industry. You’ll work with global leaders like Visa and Mastercard, as well as next generation “pay later” solutions such as Klarna and Afterpay. Our engineering teams apply Domain-Driven Design (DDD) principles and microservices architecture to build scalable and maintainable systems.
As a Data Engineer, you will be responsible for designing, developing, and maintaining MultiSafepay's data infrastructure. Your primary focus will be ensuring that high-quality, scalable, and well-structured data is available to various teams within the organization. You will play a crucial role in optimizing data processes, managing databases, and setting up efficient data pipelines for seamless data accessibility.
Maintaining, and optimising databases, data warehouses, and ElasticSearch indexes
Designing and implementing scalable data pipelines for collecting, transforming, and storing data
Ensure data integrity, security, and compliance with industry standards
Automating data extraction, transformation, and loading (ETL) processes
Working closely with data analysts, ensuring they have well-structured and accurate data for reporting
Monitoring database performance, resolving bottlenecks and inefficiencies
Proven experience in data engineering or related fields
~ Strong knowledge of ElasticSearch and PostgreSQL
~ Managing Elasticsearch clusters
~ Kibana dashboards
~ Data backup and recovery
~ Data mining
~ Knowledge in backend development in Java or Perl 5
~(and Apache POI for handling structured data (optional but beneficial)
~ Strong understanding of ETL processes and data pipeline architecture
~ Excellent problem-solving skills and the ability to optimize data performance
~ Proficiency in English, with strong communication skills
Office with an amazing view the beach
Health insurance
Free Spanish classes and afterwork sports activities
