IT Data Engineer

Role

The IT Data Engineer will report to the Global BI and Data Leader and will be responsible for building a robust architecture and providing technical expertise of data technologies to the various Data Analysts and to Business Areas and Functions.

Responsibilities

• Lead the design development and maintenance of scalable data pipelines and data architecture to support analytics and business intelligence needs.
• Drive best practices for data engineering such as ETL/ELT processes data quality management and automation.
• Foster data engineering culture within the organization (documentation knowledge sharing sessions code review)
• Advocate for and lead the adoption of new technologies or methodologies to enhance efficiency and impact (Tech stack modernization)
• Keep up to date with the latest trends and developments around the data engineering market (e.g.: attending conferences/seminars)
• Document processes flows and methodologies to ensure transparency and reproducibility
• Provide training and support to teams to enhance data literacy and usage across the organization.
• Proactively suggest and drive enhancement and optimization initiatives on Calderys Data platform

Requirements

• Bachelors or masters degree in computer science Engineering or a related field.
• 5 years of functional experience in IT & Data related functions
• 5 years of experience facilitating the development and implementation of business initiatives and projects based on management objectives
• 3 years of practical experience in projects in application interface development and data integration
• Extensive experience implementing migrating managing data lake/data warehouse implementations (Databricks Snowflake BigQuery)
• Extensive experience in data technologies related to business intelligence analytics Extract/Transform/Load (Talend Alteryx Informatica ODI) API management enterprise application integration (EAI) predictive analytics artificial intelligence and master data management.
• Experience integrating Business systems.
• Strong analytical and problem-solving skills.

As a global organisation operating across multiple countries compensation for this role may vary depending on location local market benchmarks and experience.
In line with our commitment to pay transparency a salary range relevant to your location will be shared with you during the early stages of the recruitment process before any interview is scheduled.

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