Senior Data Engineer

Foodics; Saudi Arabia; On-site; SAR 120,000 - 160,000; Full time

Job summary

A leading restaurant management ecosystem in Saudi Arabia is seeking an experienced data engineer to build robust data pipelines and frameworks for analytics and machine learning. You will collaborate with cross-functional teams and ensure the reliability of our data infrastructure. Candidates should have extensive experience in data engineering, proficiency in Python and SQL, and familiarity with cloud-native tools. This role offers competitive compensation and opportunities for personal growth in a dynamic environment.

Benefits

Highly competitive compensation packages

Bonuses and potential for shares

Regular training and learning stipend

Inclusive and diverse culture

Mentoring and autonomy

Qualifications

• 5+ years of experience in data engineering with a proven track record in scalable pipelines.
• Strong command of Python, SQL, and orchestration tools.
• Experience with modern Lakehouse architecture and tools.
• Deep understanding of data modeling and governance frameworks.
• Experience building fault-tolerant and maintainable pipelines.

Responsibilities

• Design and implement scalable ETL/ELT pipelines using cloud-native tools.
• Define and enforce data contracts with internal teams.
• Collaborate with ML Engineers on feature engineering.
• Build monitoring and observability into the data infrastructure.
• Ensure data security and compliance with internal standards.

Skills

Data engineering expertise

Proficiency in Python

SQL knowledge

Experience with Airflow

Experience with AWS Glue

Knowledge of S3

Understanding of data modeling

Experience with data governance frameworks

CI/CD familiarity

Tools

AWS Redshift

Snowflake

dbt

Apache Iceberg

Delta Lake

Apache Hudi

Terraform

Job description

Overview

Who Are We? We Are Foodics! a leading restaurant management ecosystem and payment tech provider. Founded in 2014 with headquarter in Riyadh and offices across 5 countries, including UAE, Egypt, Jordan and Kuwait. We are currently serving customers and partners in over 35 different countries worldwide. Our innovative products have successfully processed over 6 billion (yes, billion with a B) orders so far, making Foodics one of the most rapidly evolving SaaS companies to ever emerge from the MENA region. Also Foodics has achieved three rounds of funding, with the latest raising $170 million in the largest SaaS funding round in MENA, boosting its innovation capabilities to better serve business owners.

The Job in a Nutshell

You will be responsible for architecting and building robust data pipelines, data contracts, and processing frameworks that power analytics and ML features across Foodics. You’ll work closely with ML Engineers and platform teams to ensure the reliability, scalability, and governance of our data infrastructure.

What Will You Do

• Design and implement scalable ETL/ELT pipelines using cloud-native tools.
• Define and enforce data contracts with domain squads and internal consumers.
• Collaborate with ML Engineers on feature engineering and model-ready datasets.
• Build monitoring, alerting, and observability into the data infrastructure.
• Ensure data security, lineage, and compliance with internal standards.
• Contribute to onboarding toolkits and reusable data components.

What Are We Looking For

• 5+ years of experience in data engineering, with a track record in scalable pipelines.
• Strong command of Python, SQL, and orchestration tools (e.g., Airflow, AWS Glue, Step Functions).
• Experience with modern Lakehouse architecture and tools (e.g., S3, Redshift, Snowflake, dbt).
• Deep understanding of data modeling, lineage, observability, and governance frameworks. (e.g., dimensional modeling, normalized vs. denormalized structures, schema evolution, ML feature stores)
• Familiarity with ACID-compliant data formats such as Apache Iceberg, Delta Lake, or Apache Hudi, and experience managing large-scale datasets with time travel, schema evolution, and transactional guarantees.
• Experience building fault-tolerant, testable, and maintainable pipelines in production environments.
• Proven ability to work in cross-functional teams, collaborating with ML Engineers, Analysts, and Product Managers.
• Familiar with CI/CD and infrastructure-as-code (Terraform/CDK preferred).
• Strong communication skills and a mindset focused on documentation, standards, and continuous improvement.

Who Will Excel

• Candidates with knowledge of MLOps integration and streaming technologies (e.g., Kafka, Kinesis).

What We Offer You

• We have an inclusive and diverse culture that encourages innovation.
• We offer highly competitive compensation packages, including bonuses and the potential for shares.
• We prioritize personal development and offer regular training and an annual learning stipend to tackle new challenges and grow your career in a hyper-growth environment.
• Join a talented team of over 30 nationalities working in 14 countries, and gain valuable experience in an exciting industry.
• We offer autonomy, mentoring, and challenging goals that create incredible opportunities for both you and the company.