Manager Data Engineering (TPA)

About the Role

Bupa Arabia is seeking a Manager Data Engineering (TPA) to join their team in Makkah, specifically in Jeddah or Makkah. This full-time role is critical for ensuring the organization has reliable, well-governed, and analytics-ready data. The position focuses on building and maintaining robust data pipelines and models to provide trusted data securely and cost-effectively, supporting enterprise reporting, business intelligence, and data-driven decision-making.

Key Responsibilities

• Enterprise Data Ingestion and Data Engineering: Build reusable, parameterized mappings and task flows in Informatica IDMC for standardized data ingestion. Implement change data capture (CDC), idempotent loads, schema evolution, and data-quality gates. Optimize Big Query loads using partitioning, clustering, and appropriate load-versus-stream approaches. Set up version control and CI/CD pipelines for data engineering assets.
• Data Mapping & Transformation Design: Profile source systems and define field-level mappings and transformation rules. Specify business logic, including joins, lookups, and derivations. Define data-quality rules, exception handling, and reject criteria.
• Orchestration, Automation & Reliability Engineering: Parameterize task flows and configure schedules and dependencies. Implement retries, backoff, and checkpointing to ensure reliable processing. Integrate monitoring and alerting through the Ops console and ChatOps.
• Data Roles and Privacy Management: Define least-privilege IAM roles and service accounts for data access. Apply dataset, table, row, and column-level security and data masking. Enable audit logging and retention policies, and classify PHI/PII data.
• Modern Data Architecture & Data Modelling: Implement Medallion Architecture across Bronze, Silver, and Gold layers. Develop scalable, curated data models for analytical and reporting needs. Define data quality, lineage, and governance standards for curated data. Collaborate with business and analytics teams to create trusted datasets.
• Workload Monitoring, Performance & Cost Optimisation: Track data freshness, job health, volumes, and anomalies. Monitor SLAs across job duration, errors, cost per TB, and slot usage. Tune BigQuery performance through query optimization and resource management. Optimize cost through storage lifecycle management, query tuning, and caching.

Experience and Qualifications

Candidates for this role should possess 5-10 years of relevant experience in data engineering and related fields. A strong background in building and maintaining data pipelines, data modeling, and data governance is essential.

Technical Skills

• Proficiency with Informatica IDMC for data ingestion and transformation.
• Experience with BigQuery optimization techniques, including partitioning and clustering.
• Knowledge of version control and CI/CD pipelines for data engineering.
• Familiarity with Medallion Architecture and modern data modeling principles.
• Understanding of data security, privacy management, and audit logging.

Work Environment

This is a full-time position based in Makkah, with opportunities in Jeddah or Makkah. The role involves working within a team focused on delivering robust data solutions to support organizational objectives.

Application Process

The salary for this position will be disclosed during the interview process. Interested candidates are encouraged to apply.