
Data Engineer
Domes Resorts
full-time
Posted on:
Location Type: Hybrid
Location: Thessaloniki • Greece
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Job Level
About the role
- **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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringETLELTSQLdata modelingrelational databasesPythondata pipeline toolscloud platformsdata governance
Soft Skills
analytical thinkingproblem-solvingattention to detailorganizational skillstime managementcollaborationcommunicationadaptabilityproactive mindset
Certifications
cloud certificationsdata engineering certifications