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Job Description:
If you’re looking for a new challenge and have strong experience building scalable data pipelines and platforms... keep reading — this opportunity might be for you!
We are looking for a Senior Data Engineer to join a long-term, stable position within a leading multinational group in the aviation and travel sector.
You will be responsible for designing, building, and optimizing robust data pipelines and models to support advanced analytics and AI-driven initiatives across the group. This role is key to ensuring high data quality, reliability, and scalability in a dynamic, cross-functional environment.
Responsibilities:
* Build and optimize ETL/ELT pipelines and workflows.
* Clean, transform, and model large-scale datasets for analytics.
* Ensure data quality, governance, and security.
* Collaborate with data scientists, analysts, and stakeholders.
* Mentor junior engineers and document best practices.
Requirements:
* 4–5+ years of experience in data engineering roles.
* Strong hands-on experience with Snowflake or ClickHouse, Python, SQL, and AWS .
* Deep understanding of data warehousing, modelling, and integration.
* Experience in data governance and quality frameworks.
* Desirable experience with Airflow, AMOS, Docker/Kubernetes, and CI/CD tools .
* Desirable familiarity with Terraform or CloudFormation .
* Valuable exposure to ML workflows is a plus.
What working with us will offer you:
* The chance to take part in challenging projects within a dynamic environment.
* A stable position with a clear career development plan.
* A permanent contract from day one.
* Flexible compensation and meal vouchers, among other benefits.
If you're interested in this opportunity and would like to know more, feel free to apply so we can get in touch, share all the details, and answer any questions you may have.
Agap2 is an equal opportunity employer. We are committed to evaluating all applications based on skills, experience, and achievements. We encourage everyone to apply — all candidates will be treated fairly regardless of race, nationality, gender, age, disability, sexual orientation, gender identity, or any other characteristic.
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