Data Engineer

Landal Twenhaarsveld

Landal Twenhaarsveld is committed to enhancing consumer and organizational outcomes through efficient data management. As a Data Engineer, you will be crucial in optimizing data infrastructure, designing pipelines, and integrating data from diverse sources to support strategic initiatives. The role necessitates collaboration with various teams to ensure data integrity and accessibility for decision-making.

In this role you can expect to have the responsibilities:

• Optimize data storage and query performance for high transaction volumes.
• Ensure scalability to meet business growth and data demands.
• Collaborate with data analysts and IT teams for data-driven projects.
• Troubleshoot and support data pipeline issues.
• Facilitate data access for business intelligence tools.
• Design custom data solutions like real-time dashboards.

This role comes with the following benefits:

• Diverse and inclusive team with a harmonious work environment.
• Flat organizational structure and quick action on ideas.
• Independent and influential role with development opportunities.
• One-year contract aiming for permanent employment.
• Bonus scheme and 27 vacation days for full-time employees.
• Flexible hours with remote work options.
• Home-office allowance and travel reimbursement.
• Extensive training and development opportunities.
• Participation in the Recreation Pension Fund.
• Paid additional birth and parental leave.
• Various insurance options including family travel insurance.
• Favorable employee booking arrangements.

This role requires you to have:

• 4-6 years of relevant experience with a degree in computer science, IT, or data science.
• Proficiency in SQL and Python/PySpark for data manipulation and automation.
• Experience with Kimball Data Modeling and Data Warehousing.
• Hands-on experience with Azure ETL tools, preferably Databricks.
• Skilled in version control (GIT) and CI/CD pipelines using Azure.
• Familiarity with hospitality systems and CRM/ERP integrations.

You would benefit from having:

• Knowledge of hospitality-specific use cases, such as revenue management and customer personalization.
• Experience designing data solutions in complex environments.
• Proven ability to collaborate with external vendors.

A full-time position entails a 38-hour, 5-day workweek. For part-time contracts, salary and vacation benefits are proportionally adjusted.