Data Platform Engineer

INEOS • Denver, CO

1d • $125,000 - $165,000 • Onsite

About The Position

INEOS Energy is seeking a Data Platform Engineer to own the models that transform raw operational data into decision-ready analytics. The role designs, develops, and maintains scalable data models and analytics solutions, translating business requirements into efficient models using dbt, SQL, Python, and other modern data-stack tools. The successful candidate will bring expertise in data modeling, governance, and modern data architecture, with an emphasis on reliable, production-grade solutions.

The position supports analytics, research, and AI agent workloads, including integration of high-volume telemetry and SCADA data. It also builds semantic and context layers for data consumers and owns platform orchestration, CI/CD, testing, deployment, monitoring, and alerting. Work is performed at both field and office locations, with travel to INEOS field locations. The schedule is 9/80.

Requirements

• Bachelor’s or master’s degree in computer science, engineering, data science, or a related field.
• At least 8 years of experience in data architecture, data engineering, or a related role, with a focus on the upstream oil and gas sector.
• Proven experience with Snowflake, Microsoft Azure, and common data transformation tools.
• Strong understanding of data modeling, data warehousing, data engineering processes, data governance, and development best practices.
• Strong communication skills and ability to articulate technical concepts to diverse audiences.
• Exceptional problem-solving abilities and a strategic mindset.

Responsibilities

• Design and implement robust data models using established methodologies such as Kimball and medallion to support analytics, research, and AI agent workloads.
• Build and maintain dbt models with testing, documentation, version control, Jinja, and reusable macros.
• Integrate high-volume telemetry and SCADA data, addressing time-series irregularities, late-arriving and backfilled records, sensor gaps, and unit and tag standardization.
• Write and optimize complex SQL transformations to meet reporting and analytical requirements while performing reliably under production load.
• Build semantic and context layers, including certified metric definitions, business-friendly naming, documented lineage, and descriptive context for analysts and AI agents.
• Partner with stakeholders to apply governance and documentation standards across platform solutions.
• Own platform orchestration and CI/CD pipelines, define job dependencies and schedules, and automate testing and deployment.
• Implement automated data quality checks, monitoring, and alerting to identify problems proactively.

Benefits

• Healthcare, dental, and vision insurance for employees and eligible dependents.
• Other wellness, financial, and work/lifestyle-specific benefits.
• 401(k) with an automatic 6% company contribution and a match of up to an additional 6% of eligible compensation.
• Paid sick and vacation time that increases with industry experience.
• Opportunity for a company-wide annual discretionary bonus of up to 35% of eligible pay.
• May participate in the Long-Term Incentive Plan, with annual awards vesting over three years, depending on skill level and experience.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior