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Senior Data Engineer

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Hybrid

Senior Data Engineer

XM Careers

Senior Data Engineer

Skills

Google Cloud PlatformBig DataData EngineeringPythonData ScienceNumPypandasData AnalysisMachine LearningAIAWSTalent AcquisitionAzure

2 years ago

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Important information


Contract type:

Permanent

Location:

Athens, Greece

Work mode:

Hybrid

Published on:

28 September 2026

What they need


The Role:

The Data Science team at XM is seeking a skilled Senior Data Engineer with a strong background in data science. The ideal candidate should have extensive experience in designing, building, and maintaining data infrastructure and pipelines that support machine learning models and large-scale analytics. The role involves close collaboration with data scientists, data analysts, and other stakeholders to ensure data quality and accessibility, driving data-driven decision-making and implementing AI solutions across the organization.

The main responsibilities of the position include:

  • Design, develop, and maintain scalable data pipelines for data transformation and preparation.
  • Prepare datasets for data analysts and data scientists for exploratory data analysis, A/B testing, model training, and validation.
  • Ensure data quality and consistency across various sources.
  • Deploy machine learning models and AI tools to production environments.
  • Collaborate with data scientists to improve data models and support business intelligence tools.
  • Build and maintain data warehousing solutions.
  • Enforce data governance and security policies.
  • Work with cross-functional teams to understand data requirements and provide technical solutions.
  • Mentor junior data engineers and provide technical guidance.

Main requirements:

  • MSc or PhD in Data Science, Computer Science, Physics, Mathematics, or a related field.
  • 4+ years of experience with a focus on data engineering and Python software development (Pandas, NumPy, Scikit-learn)
  • Experience with AWS, Google Cloud, or Azure cloud services
  • Extensive experience with relational and non-relational databases.
  • Proven experience with machine learning.
  • Demonstrated experience in big data processing and analytics.
  • Strong analytical thinking and problem-solving abilities.
  • Effective communication skills to convey data-driven insights.
  • Fluency in English Language

Benefit from:

  • Attractive remuneration package
  • Private health insurance
  • Corporate pension fund
  • Intellectually stimulating work environment
  • Continuous personal development and international training opportunities

The Hiring Experience: What Awaits You

  • Let’s Connect – Intro Chat with Talent Acquisition
  • Deep Dive – First Interview with Your Future Team
  • Bring It to Life – Role-Specific Take-Home Task
  • Final Connection – Final Interview

All applications will be treated with strict confidentiality!

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