About MultiSafepay
Si le interesa solicitar este empleo, por favor, asegúrese de cumplir los siguientes requisitos que se enumeran a continuación.
MultiSafepay is a leading payment service provider, offering omnichannel and advanced payment solutions to businesses across Europe. We are innovative and fast-growing, building powerful solutions that transform the way our clients do business. We focus on delivering real solutions to their challenges and always stay ahead of the curve. In short, we are a true FinTech.
We’re on a mission to make payments simple, secure, and accessible for every business. 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. Through a partnership-first approach, we tackle complexity head-on, keep payments running smoothly, and boost success rates. 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, 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.
What will you be doing?
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
What do you need?
Proven experience in data engineering or related fields
Strong knowledge of ElasticSearch and PostgreSQL
Postgres DBA (including logical and binary replication)
Managing Elasticsearch clusters
Kibana dashboards
Data backup and recovery
Data mining
Knowledge in backend development in Java or Perl 5 (troubleshooting, optimization, integration, automation) 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
What you’ll get from us:
A competitive salary package
Opportunities for professional growth
A diverse role within a dedicated international team of enthusiastic colleagues
Office with an amazing view the beach
Health insurance
Free Spanish classes and afterwork sports activities
We are not accepting applications or referrals from recruitment agencies for this position. xpzdshu Any unsolicited resumes will not be considered.
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