Who we are

At Taptap, we are not just shaping the future of advertising technology—we are building it today. Guided by teamwork, respect, and determination, we challenge the status quo, connect ideas with impact, and create innovative solutions that drive real results. Our culture thrives on visionary thinking, collaboration, and a deep respect for people— because good people, doing great things is what makes us stronger.

As a global team, we believe in pushing boundaries, fostering growth, and exceeding expectations. We are authentic, ambitious, and passionate about what we do, and we never settle for less than excellence. If you’re looking to be part of a company that values creativity, problem-solving, and the power of technology, we’d love to hear from you.

Short Job Description

The Data Engineer will be based in Madrid, Spain, and will play an important role in designing, building, and optimizing scalable data systems that ensure the availability, quality, and consistency of data across the Sonata platform. This role will collaborate with Product, Operations, and Marketing teams to deliver technology solutions that support data analysis, informed decision‑making, and continuous innovation at Taptap.

What you will do

Develop and maintain large-scale data processing systems that interact with millions of users in real time.
Build and optimize ETL pipelines and the data warehouse, ensuring the consistency, reliability, and availability of both operational and analytical data.
Implement solutions to improve data quality and accuracy from both technical and business perspectives.
Collaborate with cross-functional teams, including Product, Operations, and Marketing, to design solutions that integrate data from multiple internal and external sources.
Develop new internal tools and systems to streamline data extraction, generate actionable insights, and enable seamless integration with external technology partners.
Stay up to date with emerging technologies and contribute to the continuous evolution of Taptap's technology stack.
Participate in all stages of the software development lifecycle, including technical design, implementation, deployment, and testing.

Requirements of the role

Degree in Computer Science, Software Engineering, Information Systems, or a related field.
Min. 1 year of experience in software development using JavaScript and/or Python.
Proven experience working with Big Data environments, distributed architectures, and large-scale data processing systems.
Experience working in Unix/Linux environments.
Knowledge of relational databases (PostgreSQL) and NoSQL databases (MongoDB and Redis).
Familiarity with cloud-based data lakehouse architectures, particularly AWS Athena and Amazon S3.
Experience working with Agile methodologies and tools, such as Scrum and JIRA.
Professional level of English (C1).

Nice to have

Experience with Hadoop, Spark, Hive, Kafka, and Redis.
Experience using AI agents for software development and research.
Knowledge of REST APIs and real-time bidding (RTB) systems.
Familiarity with Big Data architectures and software quality assurance practices, including automated testing.
Previous experience working in startups or small development teams.

Benefits

A dynamic and collaborative work environment.
Salary range: 27,000 - 33,000 annual gross euros.
Competitive compensation and benefit package, aligned with experience and profile.
The opportunity to work on innovative products used across global markets.
Role based in our Madrid, Spain office.
This is a hybrid work position.

Join Us!

At Taptap, diversity and inclusion are at the heart of who we are. We believe that different perspectives, backgrounds, and experiences fuel innovation and success. We are team players who won’t go solo, thoughtful collaborators who value others’ ideas, and ambitious professionals who refuse to accept the status quo.

If you are ready to make things happen, own decisions, and help build a smarter, more automated finance function within a company creating tomorrow, today help us build the future of advertising.

Data Engineer

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