Overview
Senior Data Engineer at Xm — Athens. 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.
Full job description
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:
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Design, develop, and maintain scalable data pipelines for data transformation and preparation.
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Prepare datasets for data analysts and data scientists for exploratory data analysis, A/B testing, model training, and validation.
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Ensure data quality and consistency across various sources.
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Deploy machine learning models and AI tools to production environments.
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Collaborate with data scientists to improve data models and support business intelligence tools.
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Build and maintain data warehousing solutions.
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Enforce data governance and security policies.
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Work with cross-functional teams to understand data requirements and provide technical solutions.
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Mentor junior data engineers and provide technical guidance.
Main requirements:
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MSc or PhD in Data Science, Computer Science, Physics, Mathematics, or a related field.
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4+ years of experience with a focus on data engineering and Python software development (Pandas, NumPy, Scikit-learn)
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Experience with AWS, Google Cloud, or Azure cloud services
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Extensive experience with relational and non-relational databases.
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Proven experience with machine learning.
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Demonstrated experience in big data processing and analytics.
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Strong analytical thinking and problem-solving abilities.
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Effective communication skills to convey data-driven insights.
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Fluency in English Language
Benefit from:
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Attractive remuneration package
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Private health insurance
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Corporate pension fund
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Intellectually stimulating work environment
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Continuous personal development and international training opportunities
The Hiring Experience: What Awaits You
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Let’s Connect – Intro Chat with Talent Acquisition
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Deep Dive – First Interview with Your Future Team
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Bring It to Life – Role-Specific Take-Home Task
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Final Connection – Final Interview
All applications will be treated with strict confidentiality!
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Verification notes
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