Position Summary Deloitte is seeking a results-oriented professional to join our AI & Data
Energy, Resources & Industrials - Energy & Chemicals (ER&I-E&C) team, building data- and AI-enabled solutions for
upstream oil and gas operations. The role may focus on subsurface and well data-including seismic interpretation, well logs, drilling and completions, reservoir models, production history, and well performance-as well as data engineering, integration, quality, governance, and analytics across exploration, appraisal, development, and production. You will combine knowledge of upstream workflows with hands-on skills in data engineering, analytics, and AI/ML to help clients make better-informed technical and operational decisions. This role will contribute to client engagements, develop scalable data products and analytics solutions, and grow alongside high-performing teams.
Work you'll do As a Data Engineer III on the AI & Data team, you will be responsible for:
- Supporting delivery of data and analytics engagements for upstream oil and gas clients across exploration, appraisal, development, and production
- Integrating, profiling, and analyzing upstream data, including seismic interpretations, well logs, drilling and completions records, reservoir models, and production histories
- Developing data pipelines and models that connect wells, wells bores, completions, formations, reservoirs, facilities, and production measurements
- Applying data-quality, governance, metadata, and lineage practices to improve trust in upstream data products
- Building analytics and AI/ML solutions for use cases such as well planning, production surveillance, reservoir management, and asset performance
- Developing dashboards and visualizations that help technical and operational teams turn data into decisions
- Collaborating with geoscientists, petrophysicists, reservoir and production engineers, drilling teams, data specialists, and client stakeholders to shape solutions and delivery plans
- Documenting workflows, data definitions, assumptions, and analytical findings for technical and business audiences
- Preparing client-ready deliverables, workshop materials, and presentations
- Supporting pursuits and proposal content as needed
- Contributing to practice assets and accelerators, and mentoring junior practitioners
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to mentor and provide clear guidance to others
The team Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.
Qualifications Required: - 4+ years of consulting or industry technology experience delivering data, analytics, and artificial intelligence solutions for Energy & Chemicals domain
- 2+ years hands-on experience with:
- upstream workflows spanning exploration, drilling and completions, reservoir management, and production operations
- upstream data standards or platforms, including WITSML, PRODML, RESQML, or OSDU
- well, log, seismic, drilling, completion, reservoir, or production data formats and applications
- 4+ years experience with SQL and Python (or R) for data analysis and modeling
- 2+ years experience leading project workstreams and/or project teams, with resources in multiple locations
- Bachelor's degree in data engineering, computer science, petroleum engineering, geoscience, or a related field
- Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
Preferred: - Client-facing consulting experience, including working with teams across multiple locations
- Experience with cloud computing platforms, including Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
- Experience with emerging technologies (such as GenAI) and advanced data architectures (i.e., Data Mesh, Data Fabric, Data Products, etc.)
- Experience with Business Intelligence and visualization tools (such as TIBCO Spotfire, Power BI or Tableau)
- Experience translating business needs into data and analytical requirements and to communicate clearly with technical and non-technical audiences
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $110,700 to $218,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you.
