Data Engineer

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 Riyadh.

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, with a focus on procurement and cost-optimization use cases.

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.