Data Engineer

About Us

At Leadtech, we've been redefining digital businesses since 2009, creating innovative online solutions that reach millions of users every month. With a diverse team of over 700 members from 23+ nationalities, we're united by a passion for creativity and collaboration.

We specialize in delivering user-centric experiences across web and mobile platforms, where people can connect with our products like never before.

We're proud of our global reach and committed to fostering an inclusive workplace where every individual contributes to our shared vision of bringing cutting-edge projects to life.

About the role

In this role, you will design, build, and maintain scalable, secure, and high-performance cloud-based data pipelines to support real-time and batch analytics within our payments platform. You will work closely with product owners, data scientists, and cross-functional engineering teams to translate business requirements into robust data models and ETL/ELT workflows. Your day-to-day work will include architecting and implementing Kafka-based streaming pipelines, processing event streams and orchestrating data ingestion and transformation jobs on AWS. You will leverage Snowflake as our central data warehouse. A little bit about us Macropay is a fintech leader in payment orchestration, providing businesses with seamless access to global payment solutions for over four years. Specializing in revenue optimization, we oer card processing and alternative payment methods enhanced by smart routing, fraud prevention, and an intuitive dashboard. Backed by a team of payment and fraud experts, our all-in-one platform is designed to maximize revenue, reduce costs, and improve the payment experience—all through a single API integration.

Key Responsibilities:

• Define and enforce best practices for data ingestion, cataloging, and lineage across our cloud infrastructure (AWS S3, Glue, EMR, Lambda, etc.).
• Develop and maintain real-time processing applications using Kafka (Producers, Consumers, Streams API) or similar technologies to aggregate, filter, and enrich streaming data from multiple sources.
• Collaborate with development and analytics teams to understand and fulfill the company's data requirements.
• Develop ecient and scalable data pipelines for data transformation and enrichment.
• Implement monitoring and alerting mechanisms to ensure the integrity and availability of data streams.
• Work with the operations team to optimize the performance and eciency of the data infrastructure.
• Automate management and maintenance tasks of the infrastructure using tools such as Terraform, Ansible, etc.
• Stay updated on best practices and trends in data architectures, especially in the realm ofreal-time data ingestion and processing.
• Monitor and troubleshoot data workflows using tools such as CloudWatch, Prometheus, or Datadog—proactively identifying bottlenecks, ensuring pipeline reliability, and handling incidentresponse when necessary.
• Ensure data quality and performance
• Define and test disaster recovery plans (multi-region backups, Kafka replication, Snowflake Time Travel) and collaborate with security/infra teams on encryption, permissions, and compliance

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or a related field (equivalent experience is valued).
• We are looking for an experienced Data Engineer with 5+ years of professional experience and a solid technology background using Java or Python as a primary language.
• 3+ years of programming experience with Java / Python
• Experience in data engineer design and delivery with cloud based data Warehouse technologies, in particular Snowflake, or Redshift,BigQuery
• Development with cloud services, especially Amazon Web Services
• Demonstrable experience in designing and implementing data pipeline architectures based on Kafka in cloud environments, preferably AWS.
• Deep understanding of distributed systems and high availability design principles.
• Experience in building and optimizing data pipelines using technologies like Apache Kafka, Apache Flink, Apache Spark, etc., including real-time processing frameworks such as Apache Flink or Apache Spark Streaming.
• Excellent communication and teamwork skills.
• Ability to independently and proactively solve problems.

Extra bonus if:

• Experience with other streaming platforms such as Apache Pulsar or RabbitMQ.
• Familiarity with data lake architectures and technologies such as Amazon S3, Apache Hadoop, or Apache Druid.
• Relevant certifications in cloud platforms such as AWS (optional).
• Understanding of serverless architecture and event-driven systems
• Previous professional experience in FinTech / online payment flows
• Experience with data visualization tools like Tableau, PowerBI, or Apache Superset.
• Understanding of machine learning concepts and frameworks for real-time data analytics.
• Previous experience in designing and implementing data governance and compliance solutions.

Benefits

• Top-notch private health insurance — includes dental and psychological services
• Full-time, permanent contract
• Flexible time off, no blackout dates, plus your birthday, Christmas’ Eve and New Year’s Eve off
• Remote work OR come into the office if you prefer!
• Flextime (7 – 9:30 a.m. / 3:30 – 7:30 p.m)
• Free Friday afternoons (a 7-hour workday!) + 35-hour week in July and August (free afternoons here we come!)
• Enhanced career path designed just for you
• External training budget

• Other: ticket restaurant, nursery tickets
• Budget for team-building activities
• We celebrate all company landmarks

Sounds good? Apply now! We’re looking forward to getting to know you.

Location

Our exceptional offices are in Barcelona's Blue Building, right on the city's seafront. Besides our stunning views, you'll enjoy perks such as free fruit, snacks, and coffee and will be able to take part in our game competitions.

We are an Equal Opportunity Employer and are committed to providing employees with a work environment free of discrimination and harassment.

The personal data you provide will be used solely to manage your candidacy for the purposes of this position. You can exercise your rights of access, rectification, or cancellation by sending a letter to Avenida Litoral, 12-14, 5ta planta, Barcelona 08005. Additionally, you can email us at protecciondedatos@LeadTech.com, including documentation proving your identity.