Data Engineer

Ferryscanner is an online search and booking engine that helps people find affordable ferry tickets to exciting destinations around the world. Since 2018 we have been simplifying the ferry booking process by offering ferry tickets for more than 900 destinations across the globe in 25 languages. Our company culture is based on five core values: Ownership Trust & Respect Constant Improvement Customer Obsession and Being Bold. The Ferryscanner team is made up of people who love travel thrive in fast-paced environments and continuously seek practical and innovative solutions.

At Ferryscanner data is more than reporting it is a key enabler of how we build products make decisions and leverage AI across the business. As we continue to invest in AI-driven capabilities we are looking for an experienced Data Engineer to build and scale the data foundations that power analytics experimentation automation and future AI applications.

As a Data Engineer you will own the systems and pipelines that transform raw data into trusted accessible assets across the organization. You will play a central role in shaping Ferryscanners data platform enabling teams to make better decisions and helping Engineering unlock the full potential of AI.

You will report to our Head of Product Development and work closely with our Data Analyst Product Owners Software Engineers and business stakeholders.

Responsibilities

• Design build and maintain scalable data pipelines workflows and data models

• Own and evolve Ferryscanners data architecture ensuring reliability quality security and accessibility

• Develop and maintain datasets warehouses and reporting foundations that support analytics and decision-making

• Partner with the Data Analyst to improve data availability self-service analytics and reporting capabilities

• Build and optimize data infrastructure that supports AI and machine learning initiatives

• Establish best practices around data governance observability documentation lineage and monitoring

Qualifications skills & knowledge

• At least 4 years proven experience as a Data Engineer Analytics Engineer Data Platform Engineer or similar role ideally within a product-led marketplace travel or consumer technology business

• Strong SQL and Python skills with experience building production-grade data pipelines and scalable data models

• Experience with cloud platforms (AWS GCP or Azure) and modern data warehouses such as BigQuery Snowflake or Redshift

• Hands-on experience with data orchestration and transformation tools such as Airflow Dagster dbt or equivalent

• Strong understanding of data architecture ETL/ELT processes data governance and software engineering best practices

• Experience building reliable monitoring observability and quality assurance processes for data systems

• Demonstrated ability to work cross-functionally with Engineering Product Analytics and business stakeholders

• Familiarity with AI and machine learning workflows including data pipelines that support model training evaluation and deployment

• Experience with vector databases embeddings retrieval systems or LLM-powered applications is a strong plus

• Comfortable leveraging AI-assisted development tools and modern engineering workflows

• Strong analytical problem-solving and organizational skills with the ability to balance long-term platform thinking with practical execution

Key competencies

• Ownership mentality takes end-to-end accountability and drives initiatives forward

• Strategic thinking with executional bias balances long-term architecture with practical delivery

• Cross-functional collaboration builds trusted relationships across technical and business teams

• Systems thinking designs scalable reliable and maintainable solutions

• Data-driven mindset uses measurement and evidence to inform decisions and improve outcomes

• Curiosity and innovation mindset actively explores emerging data and AI technologies

• Adaptability and growth mindset thrives in a fast-moving environment and embraces continuous learning

• Bias for simplicity values clarity reliability and ease of use in both systems and processes

We offer

• Opportunity to shape and scale Ferryscanners data platform and AI foundations at a pivotal stage of growth

• High-impact role with direct influence on product development business decision-making and AI adoption

• Collaborative cross-functional environment spanning Engineering Product Analytics and Business teams

• International team continuous learning and exposure to cutting-edge data and AI technologies

• Hybrid working model and additional annual leave days