Data Engineer

Multisafepay BV; Estepona; Presencial; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading payment service provider in Spain seeks an experienced Data Engineer to design and maintain data infrastructure. You will optimize data processes and ensure data accessibility for various teams. Ideal candidates have strong knowledge of ElasticSearch and PostgreSQL, along with excellent problem-solving and communication skills. This role offers a competitive salary and professional growth opportunities.

Servicios

Competitive salary package

Opportunities for professional growth

Health insurance

Free Spanish classes

Afterwork sports activities

Formación

• Proven experience in data engineering or related fields.
• Strong knowledge of ElasticSearch and PostgreSQL.
• Excellent problem‑solving skills and the ability to optimize data performance.
• Proficiency in English, with strong communication skills.

Responsabilidades

• Set up, maintain, and optimize databases and data warehouses.
• Design and implement scalable data pipelines.
• Ensure data integrity, security, and compliance.
• Automate data ETL processes.
• Monitor and optimize database performance.

Conocimientos

Data engineering

ElasticSearch

PostgreSQL

ETL processes

Java

Communication skills

Herramientas

Postgres DBA

Kibana

Apache POI

Descripción del empleo

• Would you like to build the backbone of data infrastructure in one of Europe’s fastest-growing FinTechs?
• Do you enjoy diving into complex challenges around performance, availability, and scalability?

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?

• Set up, maintain, and optimize databases, data warehouses, and ElasticSearch indexes
• Design and implement scalable data pipelines for collecting, transforming, and storing data
• Ensure data integrity, security, and compliance with industry standards
• Automate data extraction, transformation, and loading (ETL) processes
• Work closely with data analysts, ensuring they have well‑structured and accurate data for reporting
• Monitor and optimize database performance, resolving bottlenecks and inefficiencies

• 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
• Experience with Perl 5 is a plus
• Proficiency in Java 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 do we offer you?

• 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

About MultiSafepay

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.

Join our dynamic team at our international office in beautiful Estepona, Málaga, and be a part of our journey towards global success.

We are not accepting applications or referrals from recruitment agencies for this position. Any unsolicited resumes will not be considered.