Description:
Your Purpose...- Is to “ change people’s lives for the better through wellness ”;
- We deliver social wellness experiences that enable people to meet their personal wellness goals, through holistic physical, mental nutritional and social wellbeing.
- This role focuses on designing, building, and optimizing scalable cloud-based data solutions using Microsoft Azure technologies. You will be responsible for batch and real-time data ingestion, transformation, and integration to support analytics, reporting, and advanced data use cases.
- You will work closely with business stakeholders, data analysts, and platform teams to deliver reliable, secure, and high-performing data pipelines.
Data Engineering & Pipeline Development
- Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory (ADF).
- Build and optimize large-scale data processing solutions using Azure Databricks (Spark).
- Implement real-time data ingestion using Azure Event Hubs.
- Develop and maintain scalable data models for analytics and reporting.
- Perform data transformation, cleansing, and enrichment processes.
Cloud and Data Platform Engineering
- Support and enhance Azure-based data lake and data warehouse architectures.
- Optimize data storage, partitioning, and performance strategies.
- Ensure high availability, scalability, and cost-efficiency of data solutions.
- Automate workflows and support CI/CD for data pipelines.
Data Integration & Streaming
- Integrate structured and unstructured data from multiple enterprise systems.
- Design solutions for both batch and streaming data pipelines.
- Collaborate with integration teams on event-driven architectures.
Data Quality, Governance and Security
- Implement data validation, monitoring, and reconciliation processes.
- Apply data governance and security best practices across Azure services.
- Document data lineage, transformations, and architecture components.
Collaboration and Delivery
- Translate business requirements into scalable technical solutions.
- Partner with analytics and BI teams to deliver trusted datasets.
- Participate in agile delivery cycles and code reviews.
We can’t live without…
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
- 3–5 years of hands-on experience in data engineering roles.
- Strong expertise in:
- Azure Data Factory
- Azure Databricks
- Azure Event Hubs
- SQL (advanced level)
- Python (preferred)
- Experience designing data lakes and data warehouse solutions.
- Strong understanding of ETL/ELT design patterns.
- Experience working with Azure cloud services and security models.
- Knowledge of data modeling (dimensional and normalized models).
- Experience with Delta Lake and Spark optimization.
- Familiarity with DevOps practices and CI/CD pipelines.
- Exposure to event-driven architecture concepts.
- Strong troubleshooting and performance tuning skills.
- Excellent communication and stakeholder engagement abilities.
Core Interpersonal Skills:
- Emotional Intelligence- proven ability to anticipate the needs of others before they are voiced
- Active Listening- Able to genuinely hear concerns with the ability to defuse tense situations and ensuring members and staff feel heard and valued
- Cultural Awareness and Fluency- understand international norms, etiquette and diverse backgrounds to provide a welcoming environment for our international and VIP members
- Empathy – be able to understand, or and be aware of, someone else’s feelings especially during stressful situations, such as travel delays or billing disputes
Operational & leadership Skills Required:
- Attention to Detail, noticing the small things
- Resilience and Composure, be able to remain calm and optimistic under extreme pressure, during peak or periods or system failures
- Problem solving and conflict resolution – be able to turn challenges into opportunities by thinking and acting quickly to resolve issues before they impact a member’s experience
- Adaptability: be flexible to handle unpredictable shifts in processers, resource changes, last minute VIP guest arrivals, or sudden changes in event plans.
- Relatability – the capacity to connect with diverse stakeholders across all backgrounds
- Situational Awareness – constantly monitoring the environment to identify members who need support or help
- Curiosity- the ability to seek out and transform standard transactions into personalised stories and memorable experiences
- Time Management – the ability to efficiently meet stringent deadlines while maintaining a relaxed and unhurried demeanor for guests.
- Digital Fluency – must be proficient in new age technology and systems
Requirements:
- Is to “ change people’s lives for the better through wellness ”;
- We deliver social wellness experiences that enable people to meet their personal wellness goals, through holistic physical, mental nutritional and social wellbeing.
- This role focuses on designing, building, and optimizing scalable cloud-based data solutions using Microsoft Azure technologies. You will be responsible for batch and real-time data ingestion, transformation, and integration to support analytics, reporting, and advanced data use cases.
- You will work closely with business stakeholders, data analysts, and platform teams to deliver reliable, secure, and high-performing data pipelines.
- Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory (ADF).
- Build and optimize large-scale data processing solutions using Azure Databricks (Spark).
- Implement real-time data ingestion using Azure Event Hubs.
- Develop and maintain scalable data models for analytics and reporting.
- Perform data transformation, cleansing, and enrichment processes.
- Support and enhance Azure-based data lake and data warehouse architectures.
- Optimize data storage, partitioning, and performance strategies.
- Ensure high availability, scalability, and cost-efficiency of data solutions.
- Automate workflows and support CI/CD for data pipelines.
- Integrate structured and unstructured data from multiple enterprise systems.
- Design solutions for both batch and streaming data pipelines.
- Collaborate with integration teams on event-driven architectures.
- Implement data validation, monitoring, and reconciliation processes.
- Apply data governance and security best practices across Azure services.
- Document data lineage, transformations, and architecture components.
- Translate business requirements into scalable technical solutions.
- Partner with analytics and BI teams to deliver trusted datasets.
- Participate in agile delivery cycles and code reviews.
- Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
- 3–5 years of hands-on experience in data engineering roles.
- Strong expertise in:
- Azure Data Factory
- Azure Databricks
- Azure Event Hubs
- SQL (advanced level)
- Python (preferred)
- Experience designing data lakes and data warehouse solutions.
- Strong understanding of ETL/ELT design patterns.
- Experience working with Azure cloud services and security models.
- Knowledge of data modeling (dimensional and normalized models).
- Experience with Delta Lake and Spark optimization.
- Familiarity with DevOps practices and CI/CD pipelines.
- Exposure to event-driven architecture concepts.
- Strong troubleshooting and performance tuning skills.
- Excellent communication and stakeholder engagement abilities.
- Azure Data Factory
- Azure Databricks
- Azure Event Hubs
- SQL (advanced level)
- Python (preferred)
- Emotional Intelligence- proven ability to anticipate the needs of others before they are voiced
- Active Listening- Able to genuinely hear concerns with the ability to defuse tense situations and ensuring members and staff feel heard and valued
- Cultural Awareness and Fluency- understand international norms, etiquette and diverse backgrounds to provide a welcoming environment for our international and VIP members
- Empathy – be able to understand, or and be aware of, someone else’s feelings especially during stressful situations, such as travel delays or billing disputes
- Attention to Detail, noticing the small things
- Resilience and Composure, be able to remain calm and optimistic under extreme pressure, during peak or periods or system failures
- Problem solving and conflict resolution – be able to turn challenges into opportunities by thinking and acting quickly to resolve issues before they impact a member’s experience
- Adaptability: be flexible to handle unpredictable shifts in processers, resource changes, last minute VIP guest arrivals, or sudden changes in event plans.
- Relatability – the capacity to connect with diverse stakeholders across all backgrounds
- Situational Awareness – constantly monitoring the environment to identify members who need support or help
- Curiosity- the ability to seek out and transform standard transactions into personalised stories and memorable experiences
- Time Management – the ability to efficiently meet stringent deadlines while maintaining a relaxed and unhurried demeanor for guests.
- Digital Fluency – must be proficient in new age technology and systems
23 Feb 2026;
from:
careers24.com