Senior Data Engineer - Snowflake & Cost Optimization

Brainlake Advertising LLC

Abu Dhabi

Hybrid

AED 294,000 - 411,000

Full time

9 days ago
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Job summary

Brainlake Advertising LLC seeks an experienced Data Engineer at Manager level, with 8–10 years in data engineering, to join an advanced analytics engagement based in Riyadh. You will lead a small senior delivery team, building scalable pipelines and analytics infrastructure focused on procurement and cost-optimization use cases.

You will design Snowflake pipelines, use DataIQ and Sigma Computing, and own the day-to-day delivery of the data workstream.

Qualifications

  • 8–10 years of data engineering experience, preferably in consulting.
  • Strong hands-on Snowflake experience and analytics tooling.
  • Proficient in Python and SQL for data pipelines.

Responsibilities

  • Design and build scalable data pipelines and ETL/ELT workflows on Snowflake.
  • Develop Python-based data engineering workflows within client environments.
  • Translate 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 approaches.
  • Own day-to-day delivery of the data workstream with planning and quality control.
  • Collaborate with a small senior project team including a data architect.

Skills

Snowflake
DataIQ
Sigma Computing
Python
SQL
Data modeling
ETL/ELT
Data quality
Governance
Client-facing

Tools

Snowflake
DataIQ
Sigma Computing

Job description

Brainlake Advertising LLC seeks an experienced Data Engineer at Manager level, with 8–10 years in data engineering, to join an advanced analytics engagement based in Riyadh. You will lead a small senior delivery team, building scalable pipelines and analytics infrastructure focused on procurement and cost-optimization use cases.

You will design Snowflake pipelines, use DataIQ and Sigma Computing, and own the day-to-day delivery of the data workstream.

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