At a Glance
- Tasks: Lead the delivery of innovative data and AI solutions for clients.
- Company: Join a forward-thinking consultancy with a focus on technology and collaboration.
- Benefits: Enjoy competitive salary, health insurance, and a vibrant work culture.
- Other info: Dynamic team environment with opportunities for professional growth and development.
- Why this job: Make a real impact by shaping modern data platforms and AI solutions.
- Qualifications: 5+ years in data solutions, strong skills in Microsoft Fabric and Generative AI.
The predicted salary is between 60000 - 80000 € per year.
As a Senior Data & AI Consultant, you will be an integral member of our Data & AI practice, responsible for the high-quality delivery of modern data platforms and AI solutions. You will lead client engagements end-to-end: shaping requirements, designing architectures, guiding build teams, and ensuring solutions are secure, well-governed, and ready for production. You will combine strong engineering fundamentals (data modelling, integration, analytics) with practical Generative AI delivery (for example, retrieval‑augmented generation), and you will communicate clearly with both technical and non‑technical stakeholders.
Key Responsibilities
- Lead discovery and solution shaping: run workshops, define requirements, propose options, and recommend architectures and delivery approaches.
- Plan and manage delivery activities across one or more workstreams (scope, RAID, estimates, dependencies), escalating early where needed.
- Support pre‑sales where required (contributing to proposals/SOWs, technical due diligence, and solution presentations).
- Build and maintain strong client relationships, ensuring delivery quality and identifying pragmatic follow‑on improvements.
- Design and deliver modern data platform solutions using Microsoft Fabric as the default platform and AI solutions on Azure, including security, governance, and operational readiness.
- Produce high‑quality deliverables: architecture diagrams, HLD/LLD, build/run documentation, and clear progress reporting.
- Mentor other team members and contribute to practice assets (templates, accelerators, standards, reusable code).
- Undertake other ad‑hoc duties and projects as required.
Skills Knowledge & Expertise
Technical Skills
- Demonstrable technical knowledge of Microsoft Fabric as the primary data platform (OneLake, Lakehouse/Warehouse, Notebooks, Data Pipelines, Dataflows Gen2, Semantic Models/Power BI), including security/governance and Git‑based delivery.
- Familiarity with Azure data services (for example ADLS/Azure SQL) and legacy Synapse/ADF patterns for migration is a plus.
- High level of competence coding in SQL and Python (and DAX where required), with an engineering mindset around testing, readability, and performance.
- Strong analytics capability across the Microsoft BI stack (Power BI, semantic modelling, governance and performance), with experience modernising from legacy MSBI where applicable.
- Demonstrable understanding of enterprise data concepts: dimensional modelling, lakehouse/warehouse patterns, metadata/lineage, data quality, and governance.
- Working knowledge of non‑Microsoft tools/platforms (for example Databricks, Snowflake, Tableau, Qlik, SAP BusinessObjects) to help clients make informed choices and integrate where needed.
- Demonstrable skills delivering Generative AI solutions on Azure (for example Azure OpenAI/Azure AI services) including retrieval‑augmented generation, Azure AI Search, evaluation/quality measurement, and responsible AI considerations.
- Strong consulting skills: discovery, requirements, backlog shaping, and producing clear deliverables (designs, estimates, plans, and documentation).
- Knowledge of designing and implementing ELT/ETL processes and integrating disparate line‑of‑business systems and databases (batch and, where required, streaming).
- Proven track record operating at a senior technical level (leading designs, making trade‑offs, and unblocking delivery teams).
- Able to establish credibility with clients through clear communication, strong delivery, and pragmatic recommendations.
- Demonstrated delivery expertise: manages scope, delivers to deadlines, and ensures solutions are operable (monitoring, supportability, documentation).
- Strong professional communication skills (written and oral), including the ability to explain complex data/AI topics simply.
- Experience producing high‑ and low‑level designs (HLD/LLD), including security, governance, and operational considerations.
Technical Skills (Advantageous)
- Strong experience implementing ingestion and orchestration in Microsoft Fabric (Data Pipelines, Dataflows Gen2, Notebooks), including CI/CD and environment promotion.
- Experience migrating from Azure Data Factory / Synapse pipelines is advantageous.
- Experience with Azure AI Search (hybrid search, indexing), vector/embedding concepts, and GenAI evaluation/guardrails; familiarity with ML frameworks (for example TensorFlow) is a plus.
- Experience with complementary data prep / automation tooling (for example Alteryx or Power Platform).
- Experience with data warehouse automation tools (for example WhereScape RED) and/or metadata/governance tooling (for example Microsoft Purview).
Non‑Technical Skills
- Proven ability to build trusted relationships with senior stakeholders and act as a credible advisor.
- Comfortable supporting pre‑sales: discovery, solution options, estimates, risks/assumptions, and contributing to proposals.
- Proven ability to mentor and develop junior team members through coaching, review, and structured learning.
- Proven track record of driving decisions collaboratively, resolving conflicts, and ensuring follow‑through to deliver outcomes.
- Strong presentation and facilitation skills for mixed audiences (technical deep dives through to exec‑level summaries).
- Experience working in consulting/professional services, including delivery governance, quality assurance, and client management.
- Problem‑solving mentality, leveraging internal and external experts appropriately and documenting decisions clearly.
- Exceptional communication skills when explaining complex data/AI solutions (and architectures) in simple terms, including benefits, limitations, and risks.
- High business acumen: understands how data/AI products create value and how to measure impact.
- Highly organised: able to prioritise short, medium and long‑term tasks across multiple engagement.
Personal Attributes
- Quickly understand customer goals, constraints, and data/AI maturity; translate them into clear requirements and prioritised backlogs.
- Confident client‑facing consultant: able to lead workshops, challenge assumptions, and build alignment with senior stakeholders.
- Pragmatic problem‑solver: balances innovation with delivery realities (cost, risk, security, timelines).
- Able to articulate solution value and trade‑offs (including GenAI quality, cost and risk) to mixed audiences.
- High attention to detail: produces clear design artefacts, repeatable implementation patterns, and reliable documentation.
- Strong analytical mindset: comfortable diagnosing data‑quality, performance, and reliability issues.
- Collaborative team member who can lead small delivery teams and coach others through review and pairing.
- Self‑motivated, accountable, and comfortable owning outcomes across multiple workstreams in parallel.
Experience
- Proven success in customer‑facing roles, leading architecture and design discussions that solve real business problems.
- 5+ years delivering enterprise data and analytics solutions (end‑to‑end delivery, not just development).
- 5+ years building cloud and/or on‑prem data platforms (lakehouse/warehouse), including ingestion, transformation, modelling, and BI/semantic layers.
- Hands‑on experience delivering GenAI solutions (for example RAG) is highly desirable.
- Experience supporting pre‑sales and shaping delivery (discovery, proposals/SOW input, estimates, risks, and solution options), while managing stakeholder expectations.
- Experience delivering transformation projects and transitioning solutions into BAU/support with appropriate runbooks, monitoring, and knowledge transfer.
Education
- Desired - Bachelor’s Degree or equivalent in STEM subjects.
Certifications (Desired)
- Microsoft Certified: Azure Developer Associate (or equivalent)
- Microsoft Certified: Fabric Data Engineer Associate (DP-700)
- Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
- Microsoft Certified: Azure AI Engineer Associate (AI-102)
- Microsoft Certified: Azure Database Administrator Associate (or equivalent)
- Project delivery qualifications (for example PRINCE2, Agile/Scrum)
Benefits
- Employees enjoy an attractive benefits package as part of our continuous employee value commitment.
- Competitive salary
- Competitive annual leave
- Pension Scheme
- Private Health Insurance, including dental and optical cover
- Proactive learning environment
- Company‑wide social and team events
- Monthly wellbeing activities
- Access to the latest technologies
- An environment to be yourself
Data & AI Senior Consultant employer: C5 Alliance Group
As a leading employer in the Data & AI sector, we offer a dynamic work environment in Jersey, Guernsey, and the Isle of Man, where innovation meets collaboration. Our commitment to employee growth is reflected in our proactive learning culture, competitive benefits, and opportunities for mentorship, ensuring that you can thrive both personally and professionally while working on cutting-edge AI solutions. Join us to be part of a team that values your contributions and fosters a sense of belonging through regular social events and wellbeing activities.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Senior Consultant
✨Tip Number 1
Network like a pro! Get out there and connect with people in the Data & AI space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Microsoft Fabric and Generative AI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to data platforms and AI solutions. Be ready to discuss your experience with Azure services and how you've tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data & AI Senior Consultant
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with Microsoft Fabric and Azure AI solutions. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Communication Skills:As a Senior Consultant, you'll need to communicate complex ideas simply. Use your application to demonstrate your ability to explain technical concepts clearly, both in writing and through examples of past experiences.
Highlight Your Leadership Experience:We’re looking for someone who can lead client engagements and mentor team members. Share specific instances where you’ve taken charge of a project or guided a team, as this will show us you’re ready for the responsibilities of the role.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the position. Plus, it makes tracking your application easier for both you and us!
How to prepare for a job interview at C5 Alliance Group
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Microsoft Fabric and Azure services. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Prepare for Client Engagement Scenarios
Think about past experiences where you've led workshops or shaped client requirements. Prepare to share examples that highlight your ability to communicate complex ideas simply and build strong relationships with stakeholders.
✨Showcase Your Problem-Solving Skills
Be ready to discuss how you've tackled real business problems using data and AI solutions. Think of specific instances where your analytical mindset helped diagnose issues and deliver effective solutions.
✨Practice Your Presentation Skills
Since you'll need to present to both technical and non-technical audiences, practice explaining your past projects in a clear and engaging way. Use visuals if possible, and be prepared to answer questions about your designs and decisions.
