Senior Data Engineer

At Hostelworld (Permanent), in Porto, Portugal

Expires at : 2026-03-26

Remote policy : Full remote

WHO YOU'LL WORK WITH

You will play a key role in a diverse, highly-talented team managing cloud-native data engineering systems to consistently ensure the timely, accurate and secure production and delivery of data from the Hostelworld platform.

You will work closely with other technology groups and business owners to refine quality standards and processes for Data processing design, pipeline design, development and deployment. The underlying purpose is to ensure we have an efficient, robust, secure and performant data service to support our business growth.

WHAT YOU'LL DO

We’re seeking a Senior Data Engineer to lead the integration and modernization of a recently acquired company’s data ecosystem. You’ll collaborate closely with our new colleagues to learn, document, and understand their existing data product — currently based on Python and Airtable — and work to evolve it into our modern Google Cloud Platform (GCP) stack.

This is a hands-on, strategic role that combines architecture, delivery excellence, and collaboration. You’ll bring strong software engineering discipline to our data workflows, ensuring all pipelines are built with testability, version control, and CI / CD best practices in mind.

Bridge and Modernize Systems

Learn and document the acquired company’s current data ecosystem , including their Airtable structures, Python scripts, and API integrations.

• Translate that understanding into clear technical documentation and communicate findings back to our internal data and engineering teams.
• Design and lead a modernization roadmap to integrate their systems into our GCP-based medallion architecture.
• Champion pragmatic migration strategies that balance business continuity with long-term scalability.

Design and Deliver Robust Data Pipelines

Apply Engineering Best Practices

Collaborate and Lead in an Agile Environment

Main requirements

WHAT WE’RE LOOKING FOR

5+ years of experience in data engineering , designing, building, and maintaining robust, cloud-native data pipelines.

3+ years of experience as a Python developer , developing data processing scripts, automation, and API integrations.

2+ years of experience in Google Cloud Platform (GCP) , including deploying and managing scalable ETL / ELT pipelines

Nice to have

Benefits & Perks

WHAT WE OFFER

OUR BEHAVIOURS

Grow others - We fundamentally believe that investing in growing others benefits everyone, whether it's helping them develop hard or soft skills. We want learning and growing to be part of our DNA to help makes us a better team, together.

Master it - We are obsessed with our area of expertise and enjoy developing our skills. We rarely take things at face value; we investigate, interrogate, and always look for ‘the why,’ and wherever possible, we use data to find the best solution.

Collaborate - We are in it together, for the tough stuff and the celebrations too. To achieve the best results, we need expertise from all areas of the organisation, and we wholeheartedly welcome diverse thinking.

Adapt - We work fluidly, adapting to new information and the evolving environment while staying committed to our goals. Innovation and experimentation fuel our projects and we’re never afraid to pivot.

Deliver - Our focus is always on the end result; we value outcomes over activity. We collaborate to deliver work at speed without dropping any of our other behaviours.

We believe in talented and diverse teams that reflect the diversity of our customers and the communities in which we operate. Everyone brings different perspectives and experiences. We lay out the above requirements to guide applicants to the experiences that we believe will allow you to be successful in the role. If you don’t meet them all, please consider applying if you think you can still perform the role as described.