Data Engineer with a focus on design and optimization of enterprise data products at METRO. Collaborating with analysts and contributing to machine learning projects within the DWH team.
Responsibilities
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.
Data Engineer managing payment processing and data accuracy while collaborating with financial teams. Building and optimizing data pipelines for transactional data in a hybrid work environment.
Data Engineer building analytical tools for Dry Bulk market data operations at Kpler. Join a team of over 700 experts transforming data into actionable strategies.
Data Engineer developing tools for maintaining data integrity in cargo tracking at Kpler. Collaborating with analysts and engineers to enhance data quality management.
Lead Azure Data Engineer designing and optimizing data ecosystems on Microsoft Cloud. Responsible for building scalable data platforms and pipelines for analytics and reporting.
Data Engineer providing support for IBM DataStage ETL jobs at Callibrity. Collaborating with stakeholders and working to modernize technology solutions in a hybrid work environment.
Cloud Data Engineer implementing tailored solutions for Volkswagen Group data processing. Building ETL/ELT pipelines while collaborating with technical experts.
Data Engineer responsible for building scalable data infrastructure that supports data - driven decisions. Collaborating with team to maintain systems and unlock data value for organizations.
Data Engineer designing and optimizing data pipelines using Databricks and Google Cloud Platform. Collaborating with analysts and scientists to deliver high - quality data products.
Associate Data Engineer supporting privacy engineering controls and executing privacy impact assessments in a financial services company. Collaborating across business units to ensure alignment with privacy regulations.