Senior Data Engineer (m/f/d)

About Us

At Regiondo, we’re builders, doers, and difference-makers—driven by a shared mission to reshape the tours, activities, and experiences industry. Alongside our sister brands, Checkfront and Rezdy, we power more than 20,000 businesses and support over $10B in bookings globally. Our technology helps operators thrive while delivering unforgettable moments to travelers around the world.

We work in an industry built on adventure, energy, and human connection—and that same spirit fuels how we show up every day. Spanning North America, Europe, and APAC, our teams are united by bold goals, a bias for action, and an unwavering commitment to delivering for our customers.

But our success starts with people. Our teams are the engine behind everything we create. We value self-starters who take ownership, embrace challenges, and raise the bar—for themselves and those around them. We believe in creating space to grow, take risks, and make a real impact—and we celebrate those who lead with curiosity, grit, and drive.

If you’re passionate about performance, hungry to learn, and ready to help shape the future of travel—this is your kind of place. Let’s build, grow, and win together.

About the Role

We are seeking a highly experienced Senior Data Engineer with deep expertise in cloud data architecture, data modelling, BI reporting, and modern data lake technologies. In this role, you will be instrumental in designing, building and maintaining scalable, high-performance data solutions on our cloud data platform to support advanced analytics and business intelligence for our customers and across the organization.

The ideal candidate brings 7+ years of experience, operates with a high level of collaboration and proactivity, and is comfortable working in AI-powered development environments. You will have strong hands-on experience with cloud data platforms such as AWS Redshift, Snowflake, or Google BigQuery, along with solid knowledge of CI/CD practices. 

What you will do

As a Senior Data Engineer, you will play a key role in developing and evolving our data infrastructure. You'll work closely with engineering teams to ensure the reliability, scalability, and performance of our data systems.

• End-to-End Ownership: Lead the full lifecycle of data solutions—from gathering requirements to delivering insights.
• Architecture Design: Design and implement the architecture for a new Customer Business Intelligence (BI) system.
• Data Engineering: Build and maintain scalable, reliable data pipelines, applying data modeling techniques to support a robust platform.
• Cloud Data Warehousing: Drive best practices in schema design, query optimization, and cost management on platforms like Snowflake or Redshift.
• Data Governance: Ensure data quality, consistency, and lineage through strong governance and documentation.
• Performance Optimization: Identify and implement improvements to enhance efficiency and reduce infrastructure costs.
• Collaboration: Work closely with software engineers to integrate the customer BI stack with the Booking Application..
• Infrastructure Support: Maintain and enhance existing data infrastructure used by internal teams and customers.
• Documentation: Keep clear and up-to-date documentation for models, pipelines, and processes.
• Pragmatic Execution: Deliver high-quality, practical solutions with a focus on business impact.

What we are looking for

• 7+ years of experience in Data Engineering, working across large-scale distributed systems.
• Proven expertise in data architecture, including designing scalable, reliable, and cost-effective data platforms and pipelines in cloud environments.
• Proven expertise with cloud data platforms such as AWS, GCP, and Snowflake.
• Skilled in designing and implementing scalable data pipelines for both batch and streaming workloads.
• Hands-on experience integrating diverse data sources, including relational databases, NoSQL (e.g., MongoDB), file systems, APIs, and real-time event streams.
• Proficient in SQL and Python, with strong capabilities in manipulating large structured and semi-structured datasets.
• Deep Experience of data modeling (normalized, denormalized, star/snowflake schemas) and modern tools like dbt.
• Strong background in building scalable Embedded Business Intelligence solutions.
• Experience with modern table formats like Apache Iceberg for managing large-scale datasets.
• Deep understanding of performance tuning, query optimization, and troubleshooting across data platforms.
• Solid foundation in software engineering practices, including version control, CI/CD pipelines, DevOps and automated testing in a data context.
• Experience with microservices and event-driven architecture, including tools like AWS Lambda, SNS, and SQS.
• Comfortable working with various file formats (e.g., JSON, Parquet, Avro) in data engineering pipelines.
• Strong understanding of GDPR compliance with the ability to design data systems that support privacy, data retention, and access control requirements.

When you join our team, you’re stepping into a culture built on momentum, ownership, and connection.

We move fast, think big, and focus hard—without losing sight of the people behind the work. Across all our brands, we’re united by a belief that impact comes from empowered teams, clear priorities, and a shared commitment to our customers and each other.

Here’s what you can expect:

• High trust, high impact: We give our people the autonomy to lead, innovate, and make decisions that matter.
• Curiosity is encouraged: We value learning, asking questions, and pushing boundaries—not just getting things done, but doing them better.
• Collaboration over ego: We work as one team across geographies and brands. Success is shared, and support is a given.
• Space to grow: Whether you're stepping into leadership, learning a new skill, or tackling your next big challenge—you’ll be backed to take risks and grow from them.
• Progress over perfection: We embrace change, move quickly, and are constantly iterating to improve how we work and what we deliver.

You’ll be joining a global team that’s passionate about building something that matters—and having a good time while doing it.

We’d love for you to join us on this exciting journey. Together, let’s shape the future of the leisure and tourism industry!