Job Description

Overview

The Data Engineer is responsible for the design, development, reliability, and continuous improvement of HX’s enterprise data platform, data pipelines, and analytical data assets. Working closely with business stakeholders, Data Analysts, and technology teams, the role delivers trusted, scalable, and accessible data solutions that support operational and strategic decision-making. The Data Engineer plays a key role in evolving HX’s data Lakehouse and analytics capabilities through platform enhancements, automation, and modern data and analytics engineering practices, and contributes to reporting, business intelligence, and advanced analytics initiatives.

Key Responsibilities & Deliverables

• Design, build, and maintain scalable data pipelines and integrations that enable reporting, analytics, and data-driven decision-making across HX.
• Develop and enhance HX's data platform within Microsoft Fabric, leveraging technologies such as OneLake, Data Factory, Spark, and dbt to deliver reliable, scalable, and well-governed data solutions.
• Design, implement, and optimise data lake and data warehouse solutions, ensuring high standards of data quality, governance, security, and performance.
• Assemble, transform, and manage large, complex datasets from multiple systems and sources, turning data into trusted and accessible business assets.
• Partner with stakeholders across HX to understand business processes, priorities, and reporting needs, translating requirements into practical and impactful data solutions.
• Collaborate closely with Data Analysts and business teams to deliver trusted data products that support self-service reporting, advanced analytics, and strategic decision-making.
• Monitor and continuously improve platform performance, data availability, and reliability, identifying opportunities to automate processes and enhance efficiency.
• Drive continuous improvement initiatives by adopting modern tools, standardising ways of working, and promoting best practices in data engineering.
• Support a collaborative team culture through knowledge sharing, technical guidance, and participation in code reviews and peer learning activities.
• Maintain technical documentation, data lineage, and governance standards to ensure transparency, compliance, and long-term sustainability of data solutions.
• Contribute to broader team and business priorities as needed.
• Thinks sustainably and brings this mindset to their team and partners.
• Champions the HX Spirits.

Requirements

• Fluency in English is required.
• Experience in maritime, expedition, or cruise industry beneficial but not required.
• 3+ years’ experience in a Data Engineer, Analytics Engineer, BI Engineer, or similar role.
• Bachelor’s degree in Information Technology, Computer Science, Data Engineering, or a related field, or equivalent practical experience.
• Experience designing, building, and supporting enterprise data platforms, including data models, data lakes, data warehouses, and Lakehouse architectures.
• Strong knowledge of SQL, with experience across relational and non-relational data sources, and in developing and optimising ETL/ELT processes and data integration patterns.
• Hands-on experience with Microsoft Fabric, including OneLake, Lakehouse, Data Factory, Spark Notebooks, and related platform capabilities.
• Experience developing and maintaining dbt models, including testing, documentation, lineage management, and deployment best practices.
• Strong understanding of modern analytics engineering practices, including semantic modelling, reusable data products, data quality, metadata management, monitoring, and governance.
• Experience with Power BI and semantic models, and supporting self-service analytics environments.
• Familiarity with DevOps principles, including source control, Git workflows, CI/CD pipelines, and automated deployment.
• Tech-forward and adaptable, with a proven ability to quickly learn new systems.
• Proficiency in MS Office applications including Outlook, PowerPoint, Word, and Excel.
• Experience working in a multi-national organisation with a global guest mix.

Key Personal Attributes/Behavioural Competencies

• Safety and Compliance minded for yourself and others.
• High degree of personal integrity and honesty.
• Excited to work in a hybrid work environment to leverage time in person with colleagues across the business.
• Passionate about inclusion and belonging. You take pride in bringing people and different perspectives together to promote a diverse and inclusive workplace.
• Clear and effective communication with internal and external stakeholders.
• Ability to manage execution and competing demands.
• Ability to adapt to change in a positive, productive manner.
• Strong analytical and problem-solving skills with a data-driven mindset, and the ability to translate business requirements into practical, scalable, and sustainable data solutions.
• Self-driven, curious, and focused on delivering measurable business outcomes.
• Customer-focused and committed to delivering trusted data products and service excellence.
• Collaborative team player who actively shares knowledge, mentors colleagues, and contributes to a culture of continuous improvement.

Additional Information

We offer a salary of approximately CZK 80,000-90,000 per month, depending on skills and experience, along with 25 days of annual leave, meal allowance, Multisport card contribution, a Mental Health Program, and a hybrid working environment.