About the role

We are looking for an experienced Data Engineer at Manager level with 8 to 10 years of experience to join an advanced analytics engagement based in the GCC. You will work as part of a small, senior delivery team, building and optimizing the data pipelines and analytics infrastructure that power a client's advanced analytics program. 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 ❑ 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

Responsibilities

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

Data Engineer

About the role

Requirements

Responsibilities

Skills

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