About the Role
We are seeking an experienced Data Engineer at the Manager level with 8 to 10 years of experience to join an advanced analytics engagement based in Riyadh. You will be part of a small, senior delivery team dedicated to building and optimizing the data pipelines and analytics infrastructure that supports a client's advanced analytics program, focusing on procurement and cost-optimization use cases.
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What You'll Do
- Design and build scalable data pipelines and ETL/ELT workflows on Snowflake, integrating with DataIQ and Sigma.
- Develop and optimize Python-based data engineering workflows within the client's environment.
- Translate procurement and cost-optimization analytics requirements into robust, production-grade data solutions.
- Structure and model data to support advanced analytics and decision-intelligence use cases.
- Embed data quality, governance, and lineage standards across all pipeline stages.
- Engage directly with client stakeholders to clarify requirements and present technical approaches.
- Own day-to-day delivery of the data workstream, including planning and quality of deliverables.
- Collaborate with a small, senior project team — including a data architect and a junior data resource.
Requirements
- 8–10 years of data engineering experience, ideally including time at a Big 4 firm or strategy/technology consulting firm.
- Strong hands-on experience with Snowflake; familiarity with DataIQ and Sigma Computing is a strong plus.
- Proficient in Python and SQL for data engineering and pipeline development.
- Experience with procurement, sourcing, or cost-optimization analytics use cases.
- Solid understanding of data modeling, ETL/ELT design, and data quality practices.
- Comfortable working directly within a client's technical environment under data sovereignty constraints.
- Able to interface with client stakeholders and communicate clearly with non-technical audiences.
- Willing and able to work on-site in Riyadh on a full-time or hybrid basis (2–3 days per week).
You're Our Match If You Have
- A track record of delivering data engineering workstreams on client-facing consulting engagements.
- Strong command of Snowflake-based architectures and modern analytics stacks.
- Comfort operating in fast-paced, deadline-driven project environments.
- The ability to own your workstream with minimal oversight while coordinating with a small delivery team.
- Professional experience in Saudi Arabia or the wider GCC.
- Availability to start within the next month and commit to a 4–6 month contract.
Bonus Points If You Have Experience With
- DataIQ or Sigma Computing specifically.
- Procurement or sourcing analytics and cost-optimization use cases.
- A Big 4 firm, global systems integrator, or strategy consulting firm.
- Arabic data sets.
- Working under data residency/sovereignty constraints in client environments.
