
Data Engineer
METRO AEBE
full-time
Posted on:
Location Type: Hybrid
Location: Athens • 🇬🇷 Greece
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AzureETLOraclePythonSQL
About the role
- Design and develop robust, automated data pipelines (ETL/ELT) to ingest data from multiple sources into the Data Warehouse or Data Lake
- Perform data wrangling tasks, including data cleaning and transformation, to convert raw data into usable formats for analysis, visualization or machine learning
- Validate data quality and monitor pipeline performance to ensure data integrity and reliability.
- Implement data access controls in compliance with company regulations and policies.
- Contribute to machine learning and AI projects by preparing, validating, and serving high-quality datasets for model training and evaluation
- Collaborate closely with Data and BI Analysts, providing technical support where needed.
Requirements
- Bachelor’s degree in Data Science, Information Technology, or a related scientific field, preferably combined with a postgraduate degree in Data Science
- Knowledge and experience in SQL, PL/SQL
- Solid understanding of Data Engineering methodologies and principles.
- Hands-on experience with ETL/ELT tools.
- Experience in data modeling and data structures.
- Familiarity with technologies such as Oracle Data Integrator, Azure Data Lake, Azure Data Factory, Databricks will be considered a plus.
- Experience with programming languages commonly used in data engineering and data science (e.g. Python) will be considered a plus.
Benefits
- The opportunity to work and grow in a collaborative and friendly environment, tackling challenging business problems that deliver real value to our customers.
- A competitive compensation and benefits package.
- A private health and insurance plan.
- Access to learning platforms (such as Udemy for Business) to support your professional development and help sharpen your technical skills.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
ETLELTdata wranglingdata cleaningdata transformationdata modelingdata structuresSQLPL/SQLPython
Soft skills
collaborationtechnical support
Certifications
Bachelor’s degree in Data ScienceBachelor’s degree in Information Technologypostgraduate degree in Data Science