Data Engineer, Python, Scala
Minor Hotels Europe and Americas
full-time
Posted on:
Location Type: Hybrid
Location: London • United Kingdom
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About the role
- Perform data cleaning, transformation, and feature engineering to support ML and analytics use cases
- Build and optimize data pipelines and automated workflows using Python, Scala, PySpark, and relevant ML libraries
- Develop and maintain scalable data-processing systems for both batch and real-time workloads
- Support model development by collaborating with data scientists and translating requirements into engineering solutions
- Partner with cross-functional teams to deliver insights and ensure seamless data availability for decision-making
Requirements
- Strong expertise in Python and Scala
- Hands-on experience in Pandas, NumPy, Scikit-learn, PySpark, and MLlib
- Solid SQL skills
- Experience with large-scale, big-data frameworks (e.g., Spark, Hadoop)
- Familiarity with major cloud platforms such as Azure, AWS, or GCP
- Excellent analytical and problem-solving skills
Benefits
- Employee wellbeing programs
- Access to mental health apps like Thrive and Peppy
- Numerous training and development opportunities
- Access to 250,000 courses
- Mental Health Champions across business areas
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonScalaPandasNumPyScikit-learnPySparkMLlibSQLSparkHadoop
Soft Skills
analytical skillsproblem-solving skills