Data Platform Engineer

ineos; Denver (CO); On-site; USD 140,000 - 190,000; Full time

Job summary

INEOS Energy in Denver is seeking a Data Platform Engineer to own data models transforming raw operations data into analytics-ready data. You will design scalable models using dbt, SQL, Python and other tools, partnering with stakeholders to meet business needs and ensure governance.

The role emphasizes production-grade data solutions, with responsibilities spanning modeling, testing, orchestration, and data quality across the data stack.

Qualifications

• 8+ years of experience in data architecture or data engineering with upstream oil & gas focus.
• Proven experience with Snowflake, Microsoft Azure, and data transformation tools.
• Strong understanding of data modeling, warehousing, governance and development best practices.

Responsibilities

• Design robust data models to support analytics, research and AI workloads.
• Build and maintain dbt models with testing, documentation and version control.
• Integrate high-volume telemetry and SCADA data with time-series handling.
• Write and optimize complex SQL transformations for reporting and analytics.
• Develop semantic/context layers with certified metrics and clear lineage.
• Own orchestration and CI/CD pipelines for production deployments.
• Champion automated data quality checks, monitoring and alerting.

Skills

Data modeling

SQL

Python

dbt

Snowflake

Azure

Data governance

Data architecture

Education

Bachelor's or master's in CS/Engineering/Data Science

Tools

Snowflake

Microsoft Azure

dbt

Job description

Our people make all the difference in our success.

Compensation Grade

ONS-USD-35

Who We Are

INEOS Energy

INEOS was founded in 1998 by Sir Jim Ratcliffe with a single site and has grown into one of the world's largest privately owned manufacturing groups. We have grown by buying good assets and running them better with small, empowered teams, minimal bureaucracy and a relentless focus on performance.

INEOS Energy is building a global energy business, and our US Onshore team in Denver currently operates approximately 2,000 wells in the Eagle Ford shale play of South Texas. We are a small team with a big mandate: grow the business through disciplined development and acquisitions.

About the job

Job Title: Data Platform Engineer

Department: Information Technology

Summary of Position

We're seeking a skilled Data Platform Engineer to own the models that turn raw operational data into decision-ready analytics. We're a data-driven, AI-enabled energy company, and the quality of our decisions depends directly on the quality of the data layer you'll build. In this role, you'll design, develop, and maintain scalable data models and analytics solutions, working directly with stakeholders to translate complex business requirements into efficient models using dbt, SQL, Python, and other modern data stack tools. The ideal candidate brings deep expertise in data modeling methodologies, data governance, and modern data architecture, with a strong focus on building reliable, production-grade data solutions.

Primary Job Responsibilities

• Design and implement robust data models using established methodologies (e.g., Kimball, medallion, etc.) to support analytics, research, and AI agent workloads - balancing accuracy, performance, and ease of adoption by downstream consumers.
• Build and maintain dbt models with disciplined testing, documentation, and version control, using Jinja and macros to keep transformation logic modular and reusable.
• Integrate high-volume telemetry and SCADA data, handling the time-series characteristics of field measurement - irregular intervals, late-arriving and backfilled records, sensor gaps, and unit and tag standardization - so operational data is as trustworthy as financial data.
• Write and optimize complex SQL transformations that meet reporting and analytical requirements while holding up under production load, on cost and on time.
• Build the semantic and context layers that sit between raw models and their consumers - certified metric definitions, business-friendly naming, documented lineage, and the descriptive context that lets both analysts and AI agents resolve a business question to the right data without guesswork - partnering with stakeholders to keep governance and documentation standards applied across every solution the platform delivers.
• Own the orchestration and CI/CD pipelines behind the platform, defining job dependencies and schedules and automating testing and deployment so changes reach production safely, repeatably, and without manual intervention.
• Champion data testing and validation, implementing automated quality checks, monitoring, and alerting so that problems surface before stakeholders find them.

Education & Experience

• Bachelor's or master's degree in computer science, engineering, data science, or a related field.
• 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, with the ability to articulate technical concepts to diverse audiences.
• Exceptional problem-solving abilities and a strategic mindset.

Travel & Additional Requirements

Work Location: Work is performed at both field and office locations.

Schedule: 9/80

Travel required to INEOS field locations.

INEOS is a drug free workplace. All offers to successful candidates will be subject to successful background check and drug screen.

Relocation

Preferential treatment will be granted to candidates residing in the Denver metropolitan area.

Work Authorization

INEOS USA Oil & Gas LLC is not currently sponsoring employment visas for this position.

Compensation & Benefits

Please note that the compensation information that follows is a good faith estimate for this position only and is provided pursuant to the Colorado Equal Pay for Equal Work Act (EPEWA ) and Equal Pay Transparency Rules. It is estimated based on what a successful Colorado applicant might be paid. It assumes that the successful candidate will b