🕒 2 days ago
Build and own modern data foundations, from source audits and migration planning to Snowflake and dbt modelling, identity resolution, and activation pipelines for customer engagement platforms.
Senior Data Engineer
📅 Mar 21, 2025
Data EngineeringPythonPandasNumpy
📜 Description
- Design, develop, and maintain scalable data pipelines for data transformation and preparation.
- Prepare datasets for exploratory analysis, A/B testing, model training, and validation.
- Ensure data quality and consistency across sources; enforce data governance and security policies.
- Deploy machine-learning models and AI tools to production environments.
- Collaborate with data scientists to improve data models and support business intelligence tools.
- Build data warehousing solutions, work with cross-functional teams, and mentor junior data engineers.
🛠️ 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
- Let’s Connect – Intro Chat with Talent Acquisition
✨ Benefits
- Attractive remuneration package
- Private health insurance
- Corporate pension fund
- Intellectually stimulating work environment
- Continuous personal development and international training opportunities
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.
All applications will be treated with strict confidentiality!
By submitting this application, I confirm that I have read and agree to the terms of the Privacy and Data Protection Notice and the Confidentiality Undertaking.
The main responsibilities of the position include:
Main requirements:
Benefit from:
The Hiring Experience: What Awaits You
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