Summary
Brainlake is seeking a Data Engineer at Manager level for an advanced analytics engagement based in Riyadh, Saudi Arabia. The role involves building and optimizing Snowflake data pipelines and Python-based workflows, modeling data, and embedding data quality, governance, and lineage practices. The engineer will own day-to-day delivery of the data workstream and work directly with client stakeholders and a small senior team. Applicants should have 8–10 years of data engineering experience and be able to work on-site or hybrid; the role is a 6-month contract, with availability to start within the next month requested.
The posting
As published on brainlake.com. Pulled from the employer's site and shown as they wrote it.
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
❑ 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 the GCC on a full time or hybrid basis
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 the GCC
❑ Availability to start within the next month and commit to a 6 month contract
Bonus Points If You Have Experience With
❑ DataIQ or Sigma Computing specifically
❑ A Big 4 firm, global systems integrator, or strategy consulting firm
❑ Arabic data sets
❑ Working under data residency / sovereignty constraints in client environments