Senior Data Architect & Engineer

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INEOS Energy is the energy division of INEOS, producing and trading oil, gas, power, liquefied natural gas (LNG) and carbon credits. We operate across the Danish and UK North Sea with offshore oil & gas assets and onshore assets in South Texas, US. We invest in low‑carbon technologies to sustain our business through the energy transition.

Job Title: Senior Data Architect & Engineer
Department: Information Technology
Summary: We’re seeking an experienced Senior Data Architect & Engineer to build and support our data platform strategy and implementation, combining deep technical expertise and hands‑on development (roughly 30% architecture leadership and 70% hands‑on development). In this role, you’ll oversee database modeling and design, master data management, and analytical engineering initiatives. You will be responsible for building and maintaining best practices for data modeling, rapid development, and ongoing deployment of maintainable, well‑tested data pipelines and reusable transformation code.

The ideal candidate brings a comprehensive understanding of modern data architectures, agile methodologies, and enterprise data management principles.

• Design and oversee the implementation of enterprise‑wide data architecture strategies, ensuring alignment with business objectives while maintaining security, scalability, and cost efficiency across Azure and Snowflake Data Cloud platforms.
• Lead master data initiatives, data quality standards, data transformations and metadata management practices across the organization.
• Develop and maintain architectural documentation, including data models, system integrations, and technical specifications using various methodologies (e.g. Kimball, Data Vault).
• Conduct thorough code reviews of pull requests, ensuring adherence to architectural standards, performance best practices, and security requirements across all layers of the data platform.
• Lead technical discussions and provide recommendations for architectural improvements, focusing on containerization strategies, event‑driven architectures, and modern design patterns such as a data lakehouse architecture.
• Define and enforce CI/CD practices, version control standards, automated testing, and observability for data pipelines.
• Provide technical mentorship to team members, offering guidance on data modeling, ETL development, and best practices while promoting knowledge sharing and skill development.
• Collaborate with business stakeholders to define and deliver domain‑oriented data products with clear SLAs and ownership.
• Participate in agile ceremonies and, as part of a rotating team responsibility, facilitate stand‑ups and sprint meetings.

• Bachelor’s or master’s degree in computer science, engineering, data science, or a related field.
• 12+ years of experience in data architecture, data engineering, or a related role.
• Proven experience with Snowflake, Microsoft Azure (ADLS, Azure Container Apps, Functions, Azure Service Bus, Event Grid, Event Hub), Apache Iceberg, Apache Airflow, dbt, Python, and Power BI.
• Strong problem‑solving, strategic thinking, and communication skills, including the ability to explain complex data concepts to non‑technical stakeholders.

• Schedule:
  
  9/80 work schedule (80 hours over 9 working days in a two‑week period)
• Work Location:
  
  Primarily office‑based, with periodic visits to INEOS field locations.
• Travel:
  Occasional travel to INEOS field locations is required.
• This is a senior individual contributor role with broad influence but no direct reports.
• We are a small, hands‑on team without dedicated Scrum Masters; senior engineers are expected to periodically facilitate agile ceremonies as part of a shared rotation.
• We are a drug‑free…