Posted on: 19/09/2026
Role & Responsibilities:
- Designing and implementing scalable data infrastructure and systems to support efficient data processing and analysis.
- Developing and managing data pipelines, integration, and transformation solutions using Azure Databricks and other data engineering platforms.
- Leading teams in the strategic planning and execution of data-driven projects, confirming alignment with client expectations.
- Utilizing advanced technologies such as Apache Hadoop and Apache Airflow to enhance data processing capabilities.
- Overseeing the deployment and optimization of data warehouses, confirming data quality and security.
- Collaborating with business and technology leaders to identify and address data challenges and opportunities.
- Mentoring team members to develop their skills and encourage innovation in data engineering practices.
- Validating data integrity and compliance within analytics frameworks to support informed decision-making.
- Promoting the use of cloud-based analytics platforms like Snowflake and AWS for enhanced insights generation.
- Encouraging a culture of continuous learning and development within the team to adapt to evolving data technologies.
What You Must Have:
- At least a Bachelor's degree.
- At least 8+ years of experience.
- Oral and written proficiency in English required.
What Sets You Apart:
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics.
- Demonstrating proficiency in Microsoft Azure Databricks and Snowflake platforms.
- Utilizing advanced data engineering techniques for complex data transformations.
- Excelling in strategic planning and execution within data modernization projects.
- Leading teams in agile environments to deliver data-driven solutions.
- Mentoring junior staff to enhance their data engineering capabilities.
- Embracing technology and innovation to drive client success.
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1672937