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Role Overview
Data Engineer at Manager level at Brainlake Advertising, based in Riyadh. This is an advanced analytics engagement focused on procurement and cost-optimization use cases.
Role Purpose
Design, build, and optimize scalable data pipelines and analytics infrastructure that power a client's advanced analytics program. You will translate procurement and cost-optimization requirements into production-grade data solutions while embedding data quality, governance, and lineage standards across all pipeline stages.
Key Responsibilities
Pipeline & Infrastructure Design
- 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.
- Structure and model data to support advanced analytics and decision-intelligence use cases.
Requirements Translation & Solution Delivery
- Translate procurement and cost-optimization analytics requirements into robust, production-grade data solutions.
- Embed data quality, governance, and lineage standards across all pipeline stages.
- Own day-to-day delivery of the data workstream, including planning and quality of deliverables.
Stakeholder & Team Engagement
- Engage directly with client stakeholders to clarify requirements and present technical approaches.
- Collaborate with a small, senior project team, including a data architect and a junior data resource.
Qualifications & Experience
- 8–10 years of data engineering experience, ideally including time at a Big 4 firm or strategy/technology consulting firm.
- Track record of delivering data engineering workstreams on client-facing consulting engagements.
- Experience with procurement, sourcing, or cost-optimization analytics use cases.
- Professional experience in Saudi Arabia or the wider GCC.
Skills & Competencies
- 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.
- Solid understanding of data modeling, ETL/ELT design, and data quality practices.
- Strong command of Snowflake-based architectures and modern analytics stacks.
- Ability to interface with client stakeholders and communicate clearly with non-technical audiences.
- Comfortable working directly within a client's technical environment under data sovereignty constraints.
Additional Information
- Contract type: Full-time or hybrid (2–3 days per week on-site in Riyadh).
- Contract duration: 4–6 months.
- Availability to start within the next month required.
- Comfort operating in fast-paced, deadline-driven project environments.
- Ability to own your workstream with minimal oversight while coordinating with a small delivery team.
- Bonus experience: DataIQ or Sigma Computing; procurement or sourcing analytics and cost-optimization use cases; background with Big 4 firm, global systems integrator, or strategy consulting firm; familiarity with Arabic datasets; experience working under data residency/sovereignty constraints in client environments.
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