Senior Data Platform Engineer: Pipelines & Governance

SmartChoice International GCC; Riyadh; On-site; SAR 320,000 - 520,000; Full time

Job summary

SmartChoice International GCC is seeking a Senior Data Engineer to help build and scale its data platform. This hands-on role covers ingestion, processing, storage, modelling and governance, delivering reliable data infrastructure used by multiple applications.

You will shape engineering standards as the platform evolves and collaborate with cross-functional teams to improve data quality, security and performance. Strong Python/SQL, AWS data services and lakehouse experience are essential.

Qualifications

• 8+ years of professional data engineering experience.
• Strong Python and SQL skills with distributed processing.
• Experience with AWS data services (S3, Glue, Athena, Redshift).
• Experience designing data lake or lakehouse architectures.
• Experience with ETL/ELT and modern data tools (dbt, Airbyte, Fivetran)

Responsibilities

• Design, build and operate scalable batch and streaming data pipelines.
• Develop data architecture across ingestion, processing, storage and transformation.
• Build datasets and data models for downstream applications.
• Implement data quality, validation, monitoring, lineage and governance.
• Design for reliability with idempotency, deduplication, schema evolution, recovery.
• Implement access controls and protection for sensitive data.
• Work with engineering and infrastructure to operate production data services.
• Optimize performance, scalability and costs.
• Contribute to technical standards, documentation and code reviews.

Skills

Python

SQL

PySpark

Data governance

Data quality

Tools

S3

Glue

Glue Data Catalog

Athena

Redshift

Airbyte

Fivetran

Meltano

Kinesis

MSK

SQS

SNS

DMS

Debezium

dbt

Parquet

Iceberg

Delta Lake

Hudi

MWAA

Step Functions

Dagster

Prefect

Job description

SmartChoice International GCC is seeking a Senior Data Engineer to help build and scale its data platform. This hands-on role covers ingestion, processing, storage, modelling and governance, delivering reliable data infrastructure used by multiple applications.

You will shape engineering standards as the platform evolves and collaborate with cross-functional teams to improve data quality, security and performance. Strong Python/SQL, AWS data services and lakehouse experience are essential.