Senior Consultant (Data Engineer)
Coeo ReadingEst. Est. GBP 55,000–85,000 / yearSenior
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Python
- Sql
- Spark
- Azure
- Ci/Cd
- Power Bi
- Agile
- Stakeholder Management
- Consulting
Job Title: Senior Consultant (Data Engineer)
Location: Reading, UK (Hybrid)
Company: Coeo Ltd
Please Note : You must have a UK passport or be able to live and work in the UK without employer sponsorship.
At Coeo, we believe data has the power to transform organizations. As one of the UK's leading Microsoft Data & AI consultancies, we help our clients unlock the full value of their data by combining deep technical expertise with business-focused consulting.
Our mission is simple: to help our clients predict their future .
For over 18 years, we've specialized exclusively in the Microsoft ecosystem, helping organizations modernize their data platforms, harness the power of analytics and AI, and make better decisions faster. Today, we're at the forefront of delivering solutions built on Microsoft Fabric, Azure, Databricks, Power BI and AI technologies, enabling our clients to turn data into a genuine competitive advantage.
Why Coeo?
We're more than just technology specialists. We're trusted advisors, architects, engineers and consultants who work closely with our clients to solve complex business challenges and deliver measurable outcomes.
Our expertise spans:
Managed Services
Database Modernization
Data Engineering & Analytics
Data & AI Strategy
Adoption & Change Management
Our consultants are encouraged to think beyond project delivery. We look for individuals who are naturally curious, commercially aware, and passionate about helping clients succeed. You'll have the opportunity to build trusted relationships, identify new opportunities, influence strategic decisions, and play a key role in shaping our clients' data journeys.
Job Summary
The Senior Consultant role is a client-facing consulting position within Consulting Services, focused on leading Data, Analytics and AI engagements using Microsoft technologies such as Microsoft Fabric, Azure Databricks, Azure Data Factory, Azure Synapse, Azure SQL and Power BI . The role combines hands-on technical delivery, modern data platform architecture, governance, data engineering and analytics expertise with strong consulting, stakeholder management and communication skills. Responsibilities include leading workshops and technical engagements, designing scalable and secure data solutions, supporting pre-sales and proposals, mentoring consultants, managing delivery risks and helping clients realize business value from their data and technology investments, with occasional UK and international travel required.
Key Responsibilities
Lead the delivery of complex Data, Analytics, AI and platform modernization projects using Microsoft technologies, including Microsoft Fabric, Azure Databricks and other Azure data services.
Facilitate client workshops, discovery sessions and technical engagements, translating business requirements into practical data and analytics solutions.
Design scalable, secure and well-governed data platform architectures that align with client objectives and industry best practice.
Provide technical leadership throughout project delivery, ensuring solutions meet agreed quality, performance and business outcomes.
Support business development activities by contributing to pre-sales engagements, solution architecture, estimates and commercial proposals.
Design and develop data models, semantic models and analytics solutions that enable data-driven decision making and measurable business value.
Advocate for effective data governance, user adoption and change management to maximize the value realized from technology investments.
Mentor and support consultants, promoting engineering excellence, knowledge sharing and continuous improvement across delivery teams.
Produce high-quality technical documentation, solution designs and client-facing deliverables to support successful project outcomes.
Proactively manage technical risks, dependencies and delivery challenges, working with clients and project teams to ens
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