Senior Data & AI Consultant - Energy/Oil & Gas

EPAM Systems; Deutschland; Hybrid; EUR 110,000 - 140,000; Full time

Job summary

EPAM Systems Inc. seeks a Senior Data & AI Consultant – Energy/Oil & Gas in a hybrid role in Germany or Austria. You will lead Data & AI engagements across energy transition, grid modernization and utilities operations, shaping offerings and growing client relationships.

The role requires 5+ years in Data & AI consulting with domain knowledge in energy/utilities and cloud delivery experience. Strong German and English communication is essential.

Qualifications

• 5+ years of experience in Data & AI consulting, focused on Energy, Utilities or Oil & Gas.
• Domain knowledge in at least one Energy or Utilities segment: grid modernization, DER integration, energy trading, generation/transmission/distribution or demand-side management.
• Technical depth in data engineering, data platforms, governance or applied AI/ML (MLOps/GenAI/LLM).
• Hands-on experience delivering solutions on cloud platforms (AWS, Azure or GCP).
• Working knowledge of Databricks, Snowflake or modern AI orchestration tools.

Responsibilities

• Lead and deliver Data & AI consulting engagements for Energy, Utilities and Oil & Gas clients.
• Translate client business challenges into Data & AI use cases, roadmaps and solution designs.
• Facilitate workshops, discovery sessions and stakeholder interviews.
• Manage engagement scope, timelines and quality with delivery teams.
• Advise clients on architecture, data governance and regulatory considerations.
• Contribute to proposals, RFP responses and new industry offerings.
• Build trusted relationships with client stakeholders and identify opportunities for follow-on work.
• Coach and support junior consultants and engineers on engagements.

Skills

Data & AI consulting

Energy & Utilities

Communication

German & English

Tools

Databricks

Snowflake

AI orchestration tools

Job description

We're looking for a Senior Data & AI Consultant – Energy/Oil & Gas (m/f/d) to join our Data & AI Consulting team in Germany or Austria in a hybrid working mode. EPAM's Data & AI practice helps organizations realize business value through consulting and delivery of end-to-end data and AI/ML solutions. Our expertise spans data platform modernization, advanced analytics, machine learning, LLMOps, agentic frameworks and Responsible AI practices. In this role, you will help build EPAM's Energy & Utilities Data & AI practice in the DACH region. You will shape and deliver Data & AI engagements for clients across energy transition, grid modernization, utilities operations and Oil & Gas, working closely with our practice leadership to grow client relationships and our offering. This is an opportunity to take on real ownership in a growing practice and help shape how the energy sector adopts next-generation Data & AI technologies.

Responsibilities

• Lead and deliver Data & AI consulting engagements for Energy, Utilities and Oil & Gas clients
• Translate client business challenges into Data & AI use cases, roadmaps and solution designs
• Facilitate workshops, discovery sessions and stakeholder interviews
• Manage engagement scope, timelines and quality together with delivery teams
• Advise clients on architecture, data governance and regulatory considerations
• Contribute to proposals, RFP responses and the development of new industry offerings
• Build trusted relationships with client stakeholders and identify opportunities for follow-on work
• Coach and support junior consultants and engineers on engagements
• Contribute to thought leadership and represent EPAM at industry events

Requirements

• 5+ years of experience in Data & AI consulting, with a focus on Energy, Utilities or Oil & Gas
• Domain knowledge in at least one Energy or Utilities segment: grid modernization, DER integration, energy trading, generation/transmission/distribution or demand-side management
• Technical depth in at least one Data & AI area, such as data engineering and platforms, data modeling, governance or applied AI and ML (including MLOps and GenAI/LLM solutions)
• Hands-on experience delivering solutions on cloud platforms (AWS, Azure or GCP)
• Working knowledge of Databricks, Snowflake or modern AI orchestration tools
• Track record of leading client workstreams or small engagements end to end
• Strong stakeholder management and communication skills across business and technical audiences
• Business fluency in German and English
• Nice to have Exposure to renewables, Data Center Energy Management or DER/grid-edge technologies
• Oil & Gas domain experience (Upstream, Midstream or Downstream)
• Certification in AWS, Azure, GCP, Databricks or Snowflake
• Familiarity with energy-sector regulatory frameworks or ESG compliance