Role 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.
What You Will Do
Design, build, and maintain scalable data pipelines and integrations, develop and enhance HX’s data platform, design and implement data lake and data warehouse solutions, assemble, transform, and manage large, complex datasets, and collaborate with stakeholders to understand business processes and priorities.
Why It Might Be a Fit
The role requires a strong understanding of modern analytics engineering practices, experience with Microsoft Fabric, and proficiency in MS Office applications. The ideal candidate is a team player who actively shares knowledge, mentors colleagues, and contributes to a culture of continuous improvement.
Requirements
- Fluency in English
- 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
- Proficiency in MS Office applications including Outlook, PowerPoint, Word, and Excel
- Experience working in a multi-national organisation with a global guest mix
Benefits
- Salary of approximately CZK 80,000-90,000 per month
- 25 days of annual leave
- Meal allowance
- Multisport card contribution
- Mental Health Program
- Hybrid working environment
To apply for this job please visit linkedin.com.
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