Responsible for the hands-on development, implementation, testing, and maintenance of data pipelines, data platforms, and data warehousing solutions that reliably move, transform, and store data to support business intelligence and analytics requirements.

1. Collaborate with stakeholders to translate data requirements into scalable data pipeline designs.

2. Develop and maintain real-time and batch data ingestion/processing systems.

3. Assist the Team Leader in conducting and evaluating technical Proofs of Concept (POCs).

4. Design and optimize physical data models for the data warehouse and various data marts.

5. Build and tune data marts/models to support BI and Analytics teams' consumption needs.

6. Ensure data integrity and quality across all pipelines, implementing monitoring and alerting.

7. Create and maintain comprehensive technical documentation for data flows and systems.

8. Participate in planning and executing data platform and service upgrades.

9. Adhere to all defined software development lifecycle processes and change control.

10. Follow company policies and regulatory requirements for data governance and security.

11. Troubleshoot and resolve complex data-related issues with minimal business disruption.

12. Proactively improve the performance, reliability, and security of existing data infrastructure.

• Quality of Team Contribution.

• Delivery of outcomes to agreed quality standards and deadlines.

• Highly available platforms and data ingestion latency in less than 15 minutes.

• Adaptability of work plans/resources in response to change.

• Consistency and Quality of running services and solutions.

• Responsible for company assets such as vehicles, IT equipment and PC’s.

• Reports to the Data Engineering Team Leader.

• Adhering to ITIL Processes.

• BSC in Computer/Telecommunication Engineering/IT or Computer science.

• Mobile Telecommunications background desirable.

• 2+ years relevant work experience in telecom enterprise data ingestion engineering and platforms.

• In-depth knowledge in Big Data systems.

• Good understanding of Big Data Platforms (or hands on experience depending)

• Software development background (Python/Java)

• Telecommunication experience.

• Excellent communication skills (business and technical).

• Orientated for process improvements.

• Analytical technical skills to be able to predict the consequences of configuration changes (impact analysis), to identify root causes that are not obvious and to understand the business requirements.

• Being a problem solver.

• Team player.

• Strong ability to understand complex system landscape configuration considering the E2E view.

• Analytical Thinking and Problem Solving

• Creative thinker

• Forward Planning

• Results Drive

• Concern for Standards/Efficiency

• Being Collaborative

• Tenacity, Resilience and Self-Management