Data Engineer

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.

• 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 Dev Ops practices and CI/CD pipelines.
• Exposure to event‑driven architecture concepts.
• Strong troubleshooting and performance tuning skills.
• Excellent communication and stakeholder engagement abilities.

• 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 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 of 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 processes, 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.