Senior Data Engineer (Ref: 198537)

Forsyth Barnes; United States; Remote; USD 105,000 - 175,000; Full time

Benefits offered by this job

Benefits

Job summary

Forsyth Barnes is partnering with a growing US consumer organisation to hire an experienced Senior Data Engineer to join the Enterprise Data & Analytics function. This is an opportunity to work with a modern data stack, minimal legacy technology and a business making significant investments in AI-driven data engineering and automation.

You\'ll play a key role in developing and scaling an Enterprise Data Warehouse (EDW), while helping shape how agentic AI is used to accelerate data modelling,

Qualifications

• Hands-on data engineering in enterprise data warehouse environments.
• Advanced SQL and production-grade pipelines.
• Experience with Snowflake and dbt (or Databricks).
• Strong understanding of dimensional modelling, fact tables, dimensions and data warehouse architecture.
• Familiarity with Git, VS Code, and modern software development workflows.
• Ability to independently own technical deliverables and collaborate across engineering and business teams.

Responsibilities

• Design and optimise enterprise data warehouse solutions using Snowflake and dbt.
• Build scalable data pipelines integrating information from multiple enterprise systems.
• Develop dimensional data models, including fact tables, dimensions and star schemas.
• Work across raw, Data Vault and consumption layers to deliver reliable, accessible data.
• Leverage AI-assisted development tools and agentic workflows to accelerate engineering productivity.
• Collaborate with Data Analysts, Data Scientists, Product Managers and business stakeholders to translate requirements into technical solutions.
• Maintain high engineering standards through Git, code reviews, testing and modern development practices.
• Contribute technical expertise and knowledge sharing across the wider engineering team.

Skills

Advanced SQL

Data pipelines

Production-grade pipelines

Cross-functional collaboration

AI-assisted development familiarity

Tools

Snowflake

dbt

Databricks

Git

VS Code

Job description

About Us

Title: Senior Data Engineer

Location: 100% Remote Based (USA)

Employment: Full-Time, Permanent

Salary: Up to $175,000 + Benefits

Job Description

Forsyth Barnes is partnering with a growing, technology-driven US consumer organisation to hire an experienced Senior Data Engineer to join its Enterprise Data & Analytics function. This is an opportunity to work with a modern data stack, minimal legacy technology and a business making significant investments in AI-driven data engineering and automation. You'll play a key role in developing and scaling an Enterprise Data Warehouse (EDW), while helping shape how agentic AI is used to accelerate data modelling, pipeline development and delivery.

Key Responsibilities

• Design, develop and optimise enterprise data warehouse solutions using Snowflake and dbt.
• Build scalable data pipelines integrating information from multiple enterprise systems.
• Develop dimensional data models, including fact tables, dimensions and star schemas.
• Work across raw, Data Vault and consumption layers to deliver reliable, accessible data.
• Leverage AI-assisted development tools and agentic workflows to accelerate engineering productivity.
• Collaborate with Data Analysts, Data Scientists, Product Managers and business stakeholders to translate requirements into technical solutions.
• Maintain high engineering standards through Git, code reviews, testing and modern development practices.
• Contribute technical expertise and knowledge sharing across the wider engineering team.

Requirements

What We're Looking For

• Significant hands-on Data Engineering experience, ideally within enterprise data warehouse environments.
• Advanced SQL skills and strong experience building production-grade data pipelines.
• Hands-on experience with Snowflake and dbt, or comparable code-first technologies such as Databricks.
• Strong understanding of dimensional modelling, fact tables, dimensions and data warehouse architecture.
• Experience working with Git, VS Code and modern software development workflows.
• Ability to independently own technical deliverables and collaborate effectively across engineering and business teams.
• Familiarity with AI-assisted development tools and a willingness to adopt agentic engineering approaches.

Desirable Experience

• Data Vault modelling and architecture.
• Python and data pipeline orchestration.
• Experience using AI agents, Claude Code, custom AI skills or similar development workflows.
• Experience developing enterprise data products supporting analytics, reporting and AI applications.
• Experience working in fast-paced, collaborative engineering environments.