Location: Athens; Limassol
Workplace: hybrid
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
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ГибридseniorПомогают с релокацией (Португалия); Conduct data studies to uncover insights Write ETL pipelines (data marts, alerts, and predictions) Ask "why" and "what problem are we solving" Requirements Experience in data analysis and in marketing analytics Understanding of marketing KPIs, attribution models, and the problems ad platforms solve Knowledge of mathematical statistics and experience applying it Ability to write complex SQL queries Data analysis skills in Python Ability to choose the right evaluation approach: analytics, research, or use of external data Ability to solve non-trivial problems under incomplete data Attention to detail and ability to see any task through to completion Good English verbal and written communication skills (B2+) Preferred Experience running A/B, geo, and other types of experiments Experience in econometrics Benefits Compensation package: base salary and performance-based bonuses Relocation support: full assistance for a smooth relocation for employees and their families to Lisbon, Portugal Office-first: flexible hours with the possibility to work remotely 52 days per year Care and wellbeing: health insurance (including dental care) for employees and their children, daily meal allowance, and 100% paid sick leave AI-first approach: licenses and access to a wide range of AI tools Team and growth: collaboration with colleagues across Portugal, Brazil, Latvia and China, with opportunities for promotions, professional training, and English and Portuguese courses Community and engagement: annual team building activities, knowledge-sharing workshops, and a strong sense of teamwork