Data Analytics Engineer - Contract
Location: Hyrbrid - 1 day a week on site
Duration: 6 months (high likelihood of extension)
Rate: Competitive daily rate
Start: ASAP
Overview:
Our client, a global tech-driven organization is seeking an experienced Data Analytics Engineer to join their data & analytics function. You'll be responsible for building, optimizing, and maintaining robust data pipelines and architecture, supporting cross-functional teams with clean, scalable data delivery.
Key Responsibilities:
Design, develop, and maintain data pipelines for ETL/ELT workflows using Python, SQL, and DBT
Work with Snowflake, including advanced tools like Snow SQL, Snow Pipe, and focus on cost optimization
Build and maintain scalable datasets for analytics teams across various functions
Collaborate with stakeholders to define data requirements and translate them into actionable data models
Monitor and enhance data quality, durability, and pipeline performance
Integrate and optimize within a cloud-native environment (primarily AWS)
Tech Stack:
Core: Python, SQL, Snowflake (including Snow SQL, Snow Pipe, Cost Optimization)
Cloud/Data Environment: AWS (S3, Lambda, Glue, CloudWatch), Hive, DBT, Airflow
Workflow & Versioning: Git, DAG orchestration (e.g., Airflow)
Requirements:
5+ years of hands-on experience in data engineering or analytics engineering roles
Strong background with Snowflake and Python
Proven ability to build, test, and optimize data pipelines at scale
Experience with cloud data infrastructure (especially AWS stack)
Familiarity with BI/reporting environments (Power BI is a plus)
Strong communicator with stakeholder-facing experience
Nice to Have:
Experience with customer success, product analytics, or support data
Familiarity with Salesforce or NLP/computer vision applications (not required)
GCS is acting as an Employment Business in relation to this vacancy.

Data Analytics Engineer
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