Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Data Engineer role.
Rezi rewrites your resume against Brainlake Advertising LLC's job description. Free.

Tailor your resume to this Data Engineer role.
Rezi rewrites your resume against Brainlake Advertising LLC's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Data Engineer posting at Brainlake Advertising LLC — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Data Engineer posting at Brainlake Advertising LLC — free, in seconds.
About the Role
Join an advanced analytics engagement in the GCC as an experienced Data Engineer at Manager level. You will be part of a senior delivery team, responsible for building and optimizing data pipelines and analytics infrastructure for a client's advanced analytics program.
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
- 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
- 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
Skills
- Snowflake
- DataIQ
- Sigma Computing
- Python
- SQL
- Data Modeling
- ETL/ELT Design
- Data Quality
- Data Sovereignty
- Client Stakeholder Management
- Communication
Location
- GCC
Work Type
- Full-time
- Hybrid
- On-site
- Contract
Experience Level
- Manager
- 8-10 years