Senior Data Engineer (m/f/d)

About Us

We are Regiondo, Checkfront, and Rezdy—three leading brands united under one mission: empowering experience providers worldwide to grow, thrive, and deliver unforgettable moments. Fueled by teamwork and the combined strength of our brands, we are dedicated to equipping tour, activity, and experience providers with the tools they need to succeed.
 

We believe experiences shape who we are—creating lasting memories, fostering connections, and offering fresh perspectives on the world. With this vision at our core, we help 20k+ businesses globally, processing more than $10 billion in bookings to date. Our solutions enable operators to streamline operations, manage online bookings, boost sales, and enhance customer experiences—whether it’s simplifying the booking process, expanding reach through multiple sales channels, or giving providers the freedom to focus on creating memorable experiences.
 

With teams across Europe, North America, Australia, and beyond, we are a fast-growing organization passionate about technology, creativity, and collaboration. Our strong foundation and deep industry expertise allow us to deliver reliable, scalable, and customer-centric solutions that empower businesses and transform the way people experience the world.

Joining us means becoming part of a dynamic, hard-working, global team shaping the future of the tours and activities industry.

We live by three core values:

• Be a Trusted Guide: Support our customers and each other with expertise and integrity.
• Shape the Future: Drive innovation and improvement in everything we do.
• Be Proud of the Journey: Celebrate successes and learn from challenges along the way.

Join our team to be part of a dynamic company that is transforming how businesses in this sector operate and succeed.

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.

Perks and Benefits

• An environment that empowers you to learn, grow, and make a meaningful impact. 
• Be a part of a fast-growing, ambitious company where your work directly drives results.
• Work with ambitious, driven, and like-minded professionals in a collaborative and dynamic environment. 
• A regionally competitive benefits package
• The chance to be a part of a dynamic and innovative company that is making a difference in the tour and activity sector. 

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