Hybrid Data Engineer

at Domes Resorts

• Job title: Data Engineer
• Job type: Full Time
• Experience level: Junior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Airflow, AWS, Azure, Cloud, ETL, Google Cloud Platform, MySQL, Postgres, Python, SQL
• Location requirements: Hybrid, Thessaloniki, Greece

About the role

• Data Engineer at Domes Resorts responsible for designing data pipelines and supporting analytics. Join E-Commerce, Intelligence & Innovation team to drive business growth through data solutions.

Responsibilities

• **Data Engineer**
• **Some of the responsibilities you will be entrusted with:**
• Design, develop, and maintain scalable and reliable data pipelines to support business intelligence, reporting, and analytics needs.
• Build and optimize ETL/ELT processes to ensure efficient data extraction, transformation, and loading across multiple systems.
• Develop and maintain robust data architecture that ensures high performance, scalability, and data availability.
• Integrate and manage data connections with hotel Property Management Systems (PMS) and various third-party platforms via APIs and other data ingestion methods.
• Ensure seamless data synchronization between internal and external systems, maintaining consistency and reliability.
• Monitor and maintain integrations, proactively identifying and resolving issues to minimize downtime.
• Implement data quality checks, validation rules, and monitoring systems to ensure accuracy and integrity of data across all platforms.
• Troubleshoot and resolve data pipeline issues, ensuring timely recovery and minimal disruption to business operations.
• Establish and maintain data governance practices, including documentation, standards, and best practices.
• Collaborate closely with cross-functional teams (e.g., commercial, operations, finance) to understand data requirements and deliver tailored data solutions.
• Support reporting and analytics initiatives by providing clean, structured, and accessible datasets.
• Contribute to continuous improvement of data processes, tools, and infrastructure to enhance efficiency and scalability.
• Document data flows, systems, and processes to ensure transparency and maintainability.
• Stay up to date with emerging data engineering tools, technologies, and best practices, recommending improvements where appropriate.

Requirements

• **Useful to have:**
• Bachelor’s degree in Computer Science, Data Engineering, or a related field.
• 1–2+ years of experience in data engineering or similar roles.
• Experience with SQL, data modeling, and relational databases (e.g., PostgreSQL, MySQL).
• Proficiency in Python or a similar programming language.
• Experience integrating data from multiple sources, including APIs.
• Familiarity with data pipeline tools (e.g., Microsoft Fabric, Azure Data Factory, Airflow, dbt).
• Exposure to cloud platforms (AWS, Azure, or GCP).
• Experience with hotel systems (PMS) is a strong advantage.
• Relevant certifications in cloud or data engineering tools are a plus.
• **What you will bring:**
• Strong analytical thinking and problem-solving capabilities, with the ability to translate business needs into data solutions.
• High attention to detail, with a strong focus on data accuracy and quality.
• Strong organizational and time management skills, with the ability to handle multiple priorities.
• Ability to work both independently and collaboratively within cross-functional teams.
• Clear and effective communication skills, with the ability to engage both technical and non-technical stakeholders.
• Adaptability and a proactive mindset, with a willingness to learn and adopt new technologies.

Benefits

• **You will benefit from:**
• Becoming a member of an organization, the number one priority is its people, it cares about their well-being, and it gives them room to grow and develop their skills.
• Various and diverse opportunities within the Group.
• Feeling safe and secure within a fast-paced organization.
• Competitive remuneration package.