Data Services Engineer

GrowthLoop is a pioneer in AI-powered marketing on the data cloud, helping innovative companies transform how they market and drive business impact. In this role, you will be embedded with a single enterprise client, acting as a key technical partner in their data transformation journey and designing efficient data models that unlock real business value.

Responsibilities:

• Engineer and optimize the ingestion of large volumes of data into cloud data warehouses
• Work directly with a single enterprise client to understand their business needs, data landscape, and roadblocks
• Design and build scalable data models that support the client's analytical and operational goals
• Drive improvements to internal workflows and tooling to increase efficiency and repeatability
• Serve as a thought partner for client stakeholders, guiding technical and strategic data decisions

Requirements:

• 2–5 years of experience as a Data Engineer or Analytics Engineer, with strong proficiency in SQL and Python
• Proven experience designing, building, and maintaining cloud data warehouses (e.g., BigQuery, Snowflake, Redshift)
• Hands-on experience with Google Cloud Platform (GCP), including core services such as BigQuery
• Strong data modeling skills, with the ability to design scalable, well-structured models for both analytical and operational use cases
• Experience working with BI and visualization tools (e.g., Looker, Tableau, Power BI, or similar)
• Solid understanding of relational databases and core data warehousing principles
• Strong analytical thinking and problem-solving abilities
• Self-starter who thrives in autonomous environments and takes ownership of outcomes
• Naturally curious, with a passion for learning and applying new tools and technologies
• Experience with transformation and modeling tools such as dbt or Google Cloud Dataform
• Experience with workflow orchestration platforms like Airflow
• Exposure to machine learning workflows, including model development, training, deployment, or productionization
• Experience working with or within large enterprise organizations