XM  - Αγγελίεσ - Θέσεισ Εργασίασ

data engineer

5 Δεκ 2025 από 

XM

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We are seeking for skilled and motivated Data Engineers to join our dynamic Business Intelligence and Data Science teams. The successful candidates will work with leading experts on cutting-edge projects relating to the definition and development of efficient big data structures, data cleansing techniques and design and optimisation of data infrastructure and pipelines.  

The main responsibilities of the position include:

  • Understand data requirements and develop efficient data models and structures.

  • Design, build, and maintain scalable and reliable data structures, pipelines and processes.

  • Execute queries in both relational and non-relational databases.

  • Collaborate with cross-functional teams to define and enforce data governance policies and data security best practices.

  • Monitor, troubleshoot and resolve issues regarding data quality, data pipeline failures, and data infrastructure. 

  • Stay up to date with emerging trends and technologies in the data engineering and data management field and recommend innovative solutions to enhance our data infrastructure and processes.


Main requirements:

  • BSc/MSc in Computer Science, Physics/Science, Engineering, Mathematics or other relevant field

  • Experience in data manipulation and big-data processing frameworks will be considered an advantage

  • Good knowledge of SQL and experience with relational databases will be considered an advantage

  • Familiarity with ETL processes, data warehousing concepts, and related technologies will be considered an advantage

  • Programming experience with Python or any high-level programming language will be considered an advantage

  • Experience with Unix/Linux will be considered an advantage

  • Good knowledge of data visualisation techniques

  • Self-motivation and passion for working with data

  • Eagerness for continuous professional development

  • Excellent problem-solving and analytical skills with attention to detail

  • Strong communication and collaboration skills to work effectively in a team environment

  • Excellent verbal and written communication skills in English

Benefit from:

  • Attractive remuneration package

  • Private health insurance

  • Corporate pension fund

  • Intellectually stimulating work environment

  • Continuous personal development and international training opportunities

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