01
TRCI-26-06758
SME - Extract Transform Load (ETL)
This contract role supports Shell programmes and focuses on defining and delivering Data and AI products in a modern data-platform context. The core requirements are product vision and roadmap ownership, identifying and prioritizing AI opportunities with business stakeholders, leading AI use cases, collaborating across engineering and business teams, and managing backlogs, releases, and KPIs. The description also highlights Copilot, AI agents, RAG, analytics, and intelligent automation; experience with Databricks Mosaic AI, MLflow, Microsoft and Azure AI tools, and enterprise data platforms is desirable. The structured input specifies 10–14 years of experience and London, while the description asks for 10+ years in relevant fields; contract is specified, but work mode is not. There is a material title discrepancy: the given title is ETL SME, whereas the described responsibilities are primarily for a Data or AI Product Owner/Product Manager, with no specific ETL duties listed.
Position summary
- Location
- United Kingdom
- Workplace
- Remote
- Employment
- Contract
- Experience
- Minimum 10 years and Maximum 14 years
Role overview
Why This Role Matters.
This contract role supports Shell programmes and focuses on defining and delivering Data and AI products in a modern data-platform context. The core requirements are product vision and roadmap ownership, identifying and prioritizing AI opportunities with business stakeholders, leading AI use cases, collaborating across engineering and business teams, and managing backlogs, releases, and KPIs. The description also highlights Copilot, AI agents, RAG, analytics, and intelligent automation; experience with Databricks Mosaic AI, MLflow, Microsoft and Azure AI tools, and enterprise data platforms is desirable. The structured input specifies 10–14 years of experience and London, while the description asks for 10+ years in relevant fields; contract is specified, but work mode is not. There is a material title discrepancy: the given title is ETL SME, whereas the described responsibilities are primarily for a Data or AI Product Owner/Product Manager, with no specific ETL duties listed.
Your Impact
Deliver Enterprise Value
Help organisations solve complex business problems through modern technology, consulting expertise and measurable outcomes.
Collaboration
Work Across Teams
Collaborate with consultants, architects, engineers and client stakeholders throughout the project lifecycle.
Growth
Learn Continuously
Gain exposure to enterprise technologies, certifications, mentoring and real-world project experience.
Career Path
Grow With Ubique
Build a long-term consulting career with opportunities to take on greater responsibility and leadership over time.
Responsibilities
What You'll Be Doing.
Every role at Ubique contributes directly to solving meaningful business challenges for our clients.
02
Partner with business stakeholders to identify and prioritize AI, GenAI, Analytics, and Automation opportunities.
03
Act as a trusted advisor, helping business teams translate challenges into scalable AI-driven solutions. Drive product discovery, business case development, value estimation, and prioritization.
04
Lead AI use cases involving Copilot, AI Agents, RAG, Knowledge Assistants, Intelligent Automation, Predictive Analytics, and GenAI solutions.
05
Collaborate with Data Engineers, AI Engineers, Architects, and Business teams to deliver products aligned with business objectives.
06
Own product backlog, user stories, acceptance criteria, and product releases.
07
10+ years of experience in Product Management, Consulting, Data Analytics, or Digital Transformation.
08
Strong experience as a Data Product Owner, AI Product Owner, Product Manager, or Management Consultant.
09
Deep understanding of Generative AI, Agentic AI, Machine Learning, Data Analytics, and Enterprise Data Platforms.
10
Experience with AI ecosystems including: Microsoft Copilot, Azure AI Foundry, GitHub Copilot, Claude, Databricks Mosaic AI, MLflow, AI Agents and Knowledge Assistants Strong knowledge of Data Lakehouse, Data Warehouse, Analytics, and modern cloud data platforms.
11
Ability to create product strategies, business cases, investment proposals, and executive-level presentations.
12
Excellent stakeholder management, facilitation, consulting, and communication skills.
Technology stack
Tools & Technologies.
The platforms and technologies you'll use to build modern, enterprise-grade solutions.
01
Databricks
Required
02
Databricks Mosaic AI
Required
03
Lakehouse
Required
04
Data Lakehouse
Required
05
Data Warehouse
Required
06
Enterprise Data Platform
Required
07
Cloud Data Platform
Required
08
Generative AI
Required
09
GenAI
Required
10
Agentic AI
Required
11
AI Agents
Required
12
RAG
Required
13
Retrieval-Augmented Generation
Required
14
Knowledge Assistants
Required
15
Microsoft Copilot
Required
16
Azure AI Foundry
Required
17
GitHub Copilot
Required
18
Claude
Required
19
MLflow
Required
20
Machine Learning
Required
Requirements
Skills & Experience.
We value curiosity, collaboration and continuous learning. If you don't meet every requirement but believe you can make an impact, we'd still love to hear from you.
Essential
Required Qualifications
Define and own Data and AI product vision, strategy, roadmap, and value realization
Partner with business stakeholders to identify and prioritize AI, GenAI, analytics, and automation opportunities
Translate business challenges into scalable AI-driven solutions and advise business teams
Lead AI use cases including Copilot, AI agents, RAG, knowledge assistants, intelligent automation, predictive analytics, and GenAI
Collaborate with Data Engineers, AI Engineers, Architects, and business teams to deliver aligned products
Own product backlog, user stories, acceptance criteria, and product releases
Define and track product KPIs and adoption metrics
Preferred
Nice to Have
10+ years in Product Management, Consulting, Data Analytics, or Digital Transformation
Experience as a Data Product Owner, AI Product Owner, Product Manager, or Management Consultant
Understanding of Generative AI, Agentic AI, Machine Learning, Data Analytics, and Enterprise Data Platforms
Experience with Microsoft Copilot, Azure AI Foundry, GitHub Copilot, Claude, Databricks Mosaic AI, MLflow, AI agents, and knowledge assistants
Knowledge of Data Lakehouse, Data Warehouse, Analytics, and modern cloud data platforms
Ability to create product strategies, business cases, investment proposals, and executive-level presentations
Stakeholder management, facilitation, consulting, and communication skills
What you'll gain
More Than Just A Job.
We're committed to helping every team member grow professionally, personally and technically while working on meaningful projects.
Global Exposure
Collaborate with international clients and multicultural teams on enterprise programmes.
Continuous Learning
Expand your expertise through mentoring, certifications and hands-on project experience.
Career Growth
Take ownership, develop leadership skills and grow your consulting career over time.
Flexible Working
Hybrid and remote collaboration designed around trust and delivering exceptional outcomes.
People First
Join a supportive culture where collaboration, respect and long-term relationships come first.
Enterprise Projects
Work on meaningful technology initiatives for leading organisations across industries.
Apply
Apply for SME - Extract Transform Load (ETL)
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