Senior Data Engineer – Snowflake Analytics Lead (Riyadh)

Brainlake Advertising LLC; Dubai; On-site; AED 255,000 - 382,000; Full time

Job summary

Brainlake Advertising LLC seeks an experienced Data Engineer at the Manager level to join an advanced analytics engagement in Riyadh. You will design and optimize data pipelines powering procurement and cost-optimization analytics, working with a small, senior delivery team.

You will build Python-based workflows, model data for analytics, and ensure data quality, governance, and lineage across pipelines. Role can be on-site in Riyadh or hybrid (2–3 days/week).

Qualifications

• 8–10 years of data engineering experience in consulting or client-facing environments.
• Experience delivering data engineering workstreams on client engagements.
• Proficiency with Snowflake, DataIQ and Sigma Computing.

Responsibilities

• Design and build scalable data pipelines and ETL/ELT workflows on Snowflake.
• Develop and optimize Python-based data engineering workflows.
• Translate procurement and cost-optimization analytics requirements into robust data solutions.
• Structure and model data to support advanced analytics and decision intelligence.
• Embed data quality, governance, and lineage standards across pipelines.
• Engage 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 senior project team including a data architect and a junior data resource.

Skills

Snowflake

DataIQ

Sigma Computing

Python

SQL

ETL/ELT

Data Modeling

Data Quality

Governance

Data Lineage

Tools

Snowflake

DataIQ

Sigma Computing

Python

SQL

Job description

Brainlake Advertising LLC seeks an experienced Data Engineer at the Manager level to join an advanced analytics engagement in Riyadh. You will design and optimize data pipelines powering procurement and cost-optimization analytics, working with a small, senior delivery team.

You will build Python-based workflows, model data for analytics, and ensure data quality, governance, and lineage across pipelines. Role can be on-site in Riyadh or hybrid (2–3 days/week).