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For Companies At a Glance
- Tasks: Lead innovative data transformations and design scalable solutions for clients.
- Company: Join Intuita, a fast-growing consultancy shaking up the tech world.
- Benefits: Enjoy flexible remote work, health support, and amazing training opportunities.
- Other info: Be part of a supportive team that values your ideas and well-being.
- Why this job: Make a real impact in data consultancy while growing your skills with industry experts.
- Qualifications: 5+ years in data roles, strong SQL and Python skills, and leadership experience.
The predicted salary is between 70000 - 90000 ÂŁ per year.
Solution Lead – Data Consultancy Business
If you have the required experience and want to be part of a fast‑growing consultancy that is making waves in both consultancy and technology spaces, we encourage you to apply.
Team
We're Intuita—a fast‑growing consultancy making waves in both consultancy and technology spaces. With ambitious goals for this year and beyond, we are looking for talented individuals to complement the team of experts we already have working across our business.
Industries Prioritized
- Telco
- Financial Services (insurance, banking and pensions)
- Healthcare and Life Science
Role
The Solution Lead acts as the technical authority behind our clients’ data transformations, designing and delivering end‑to‑end data solutions that are innovative, scalable, and aligned to client needs. You will own the architectural vision, guide technical teams, and lead pre‑sales discovery and proposals.
Responsibilities
- Define and communicate the technical and architectural visions for the solution
- Define and articulate solutions or architecture that balance client objectives with technical excellence
- Lead technical solution design from discovery through to implementation
- Guide delivery teams toward the right solution approach, meeting performance, scalability, security and other quality standards
- Lead pre‑sales technical discovery and contribute to proposals
- Develop solution patterns, architectural standards, and reusable frameworks
- Identify and mitigate technical risks and dependencies
Qualifications and Experience
Technical Expertise
- 5+ years in Data Engineering, Data Architecture, Analytics Engineering or related data disciplines
- Proficiency in SQL, Python, and data transformation tools (DBT, Spark)
- Strong understanding of data modelling (Kimball, 3NF, Data Vault, dimensional)
- Knowledge of DataOps, CI/CD, and infrastructure as code
- Understanding of data governance and data quality frameworks
Cross‑Disciplinary Experience
- Experience across multiple data disciplines (Engineering, Architecture, Modelling, Analytics, Visualisation, Governance) or at least an appreciation for each discipline in a data transformation programme
- Proven ability to lead multidisciplinary teams (Data Engineers, Analytics Engineers, Analysts, BI Developers)
- Track record leading complex data transformation projects
- Senior‑level stakeholder management and client‑facing experience
- Design authority experience, making final decisions on solution design
- Experience in Delivery Lead and/or Client Lead capacities is highly advantageous
- Driven by quality and technical excellence with great attention to detail
- Takes ownership of complex technical challenges and finds innovative solutions
- Excellent communicator across technical and non‑technical audiences
- Quick to understand client context and business landscape
- Pragmatic problem‑solver who balances technical idealism with business reality
- Hands‑on when needed – willing to get into the code and data, not just architect from afar
Nice to Haves
Experience in telecommunications, healthcare, or financial services – advantageous but not essential if you can demonstrate applicable skills across industries.
Locations
- Newbury
- Ĺ ibenik, Croatia
Benefits
- Flexible and remote working – you are trusted to work in the way that suits you best
- Genuine care and support for your health and wellbeing – free therapy sessions, financial education, birthday treats and more
- Incredible training and learning opportunities – you’ll be surrounded by the best in the business and encouraged to keep growing
- Freedom and empowerment to own problems and explore new ideas – we allow our consultants to actually be consultants, not just bodies
- A supportive, friendly team – we work hard and enjoy spending time together, whether in‑person at socials or via Slack conversations
Principal Consultant - Solution Lead employer: Intuita
Contact Detail:
Intuita Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Consultant - Solution Lead
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by researching the company and its projects. Understand their tech stack and be ready to discuss how your experience aligns with their needs. Show them you’re not just another candidate!
✨Tip Number 3
Practice your pitch! Be clear about your skills and how they can benefit the company. Tailor your message to highlight your experience in data engineering and architecture, especially in sectors like telco or financial services.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our fast-growing team.
We think you need these skills to ace Principal Consultant - Solution Lead
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in data engineering and architecture. We want to see how your skills align with the role of Solution Lead, so don’t hold back on showcasing your relevant projects!
Showcase Your Technical Skills: Since this role is all about technical excellence, be sure to mention your proficiency in SQL, Python, and any data transformation tools you’ve used. We love seeing specific examples of how you've tackled complex data challenges in the past.
Communicate Clearly: Your application should reflect your ability to communicate effectively with both technical and non-technical audiences. Use clear language and avoid jargon where possible, as we want to understand your thought process and approach to problem-solving.
Apply Through Our Website: We encourage you 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 role. Plus, it shows you’re keen to join our team at Intuita!
How to prepare for a job interview at Intuita
✨Know Your Data Inside Out
Make sure you brush up on your technical expertise, especially in SQL, Python, and data transformation tools like DBT and Spark. Be ready to discuss your experience with data modelling techniques and how you've applied them in past projects.
✨Showcase Your Leadership Skills
As a Solution Lead, you'll need to demonstrate your ability to lead multidisciplinary teams. Prepare examples of how you've guided teams through complex data transformations and how you've managed senior-level stakeholders effectively.
✨Understand the Client's Business
Before the interview, research the industries Intuita prioritises, such as telecommunications and financial services. Be prepared to discuss how your solutions can align with their business objectives and address their specific challenges.
✨Be Ready to Get Hands-On
While you'll be leading from a high level, don’t shy away from discussing your hands-on experience. Be ready to share instances where you’ve rolled up your sleeves to tackle technical challenges directly, showing that you’re not just an architect but also a doer.