At a Glance
- Tasks: Lead data projects, turning business challenges into impactful solutions and mentoring fellow consultants.
- Company: Join Transparity, a fast-growing IT company with a strong focus on Microsoft Cloud solutions.
- Benefits: Enjoy flexible working, 25 days holiday, health perks, and a supportive work environment.
- Other info: Be part of a diverse team that values integrity, learning, and service excellence.
- Why this job: Make a real impact by helping customers maximise their data value in an inclusive culture.
- Qualifications: Experience in leading data projects and strong skills in modern data platforms like Azure.
The predicted salary is between 63000 - 77000 £ per year.
Transparity is a fast-growing IT company focusing on Microsoft Cloud based solutions. Our culture has an enviable reputation in the industry which we work hard to maintain. We are focused on creating an inclusive environment where our employees thrive based upon integrity, strong work ethic, a one-team ethos, desire to learn and develop and a commitment to deliver unwavering service excellence to our customers, vendors and partners. Therefore, first and foremost we recruit with our cultural fit in mind.
As a Principal Consultant: Data you will be responsible for helping customers maximise value from their data through consultative engagement, solution design and technical delivery. Whilst hands-on technical delivery remains an important aspect of the role, a Principal Consultant is expected to take ownership of shaping customer outcomes and ensuring solutions are aligned to both business objectives and technical best practices.
Acting as a trusted advisor, the Principal Consultant will work closely with customers to understand their challenges, shape requirements, facilitate workshops and translate business needs into pragmatic technical solutions. The role bridges the gap between technical delivery and solution architecture, combining commercial awareness, technical expertise and strong customer engagement skills.
A Principal Consultant will be entrusted to lead complex customer engagements, providing technical leadership from discovery through to implementation, whilst helping identify opportunities for customers to realise additional value from their data investments. The role will work in conjunction with Technical Team Leads, Solution Architects, Project Managers and Commercial teams to ensure successful customer outcomes.
- Lead customer workshops and discovery sessions, turning business challenges into impactful data and AI solutions.
- Build trusted relationships with stakeholders, acting as a strategic advisor and guiding customers from concept through to delivery.
- Own the successful delivery of complex data projects, shaping technical approaches and ensuring high-quality outcomes.
- Provide technical leadership and mentoring to consultants, helping to develop capability across the wider team.
- Challenge assumptions, manage risks and act as a key escalation point to ensure the right solutions are delivered the right way.
- Support pre-sales activity, including solution design, customer workshops, estimates, proposals and statements of work.
- Drive innovation and continuous improvement by championing best practice across Microsoft Fabric, Databricks, Azure and the wider Microsoft data ecosystem.
Skills, experience and qualifications:
- Proven track record of leading successful customer-facing data projects, from discovery and design through to implementation and support.
- Strong experience translating complex business challenges into practical, scalable data solutions that deliver real value.
- Deep expertise in modern data platforms, including Microsoft Fabric, Databricks, Azure Data Factory, Synapse Analytics and lakehouse architectures.
- Hands-on development experience with ETL/ELT pipelines, data engineering, SQL, Python and semantic modelling for analytics and reporting.
- Confident facilitator with excellent stakeholder management skills, able to lead workshops, influence decisions and communicate effectively with both technical and non-technical audiences.
- Strong commercial awareness, problem-solving ability and a proactive approach to managing risks, priorities and delivery outcomes.
- Passion for mentoring others, sharing knowledge and staying ahead of emerging trends across the Microsoft Data & AI ecosystem, with relevant Microsoft and/or Databricks certifications achieved.
Transparity have a proactive attitude when it comes to looking after the wellbeing and inclusion of all our employees. We promote equal opportunities through our recruitment process and a positive, inclusive culture across the business which we are proud of. We are diverse in our approach to recruitment and recognise that talent comes in all different forms. The diversity in our team is what helps our business work so well.
In addition to a competitive salary, there are a number of benefits and perks we offer to say thank you for being a part of our journey:
- Flexibility over where you work with our Winning from Anywhere® approach
- 25 days holiday
- Home working allowance paid monthly
- Winning from Anywhere® allowance to help your set up at home
- 24/7 GP at hand
- Immediate 24/7 access to an Employee Assistance Programme
- Company sick pay scheme
- 4x base salary life assurance
- Private health insurance after a successful year’s service
- Enhanced parental pay and leave
- Access to the Perkbox platform
- Cycelscheme
- Electric car scheme
- And many more!
At Transparity becoming a Frontier organisation is key to our success, so we use AI to support our recruitment team with tasks such as note‑taking and automating parts of the recruitment process so we can focus more time on meaningful, human conversations and providing a positive candidate experience. We do not use AI to review, screen, score, or rank applications. All hiring decisions are made by people. If you have questions about our recruitment process or need adjustments at any stage, please let us know, we’re happy to help.
Principal Consultant: Data in London employer: Transparity
Transparity is an exceptional employer, renowned for its inclusive culture and commitment to employee growth. With a focus on Microsoft Cloud solutions, employees enjoy flexible working arrangements, comprehensive benefits, and a supportive environment that fosters collaboration and innovation. The company's dedication to diversity and well-being ensures that every team member can thrive while contributing to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Consultant: Data in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Transparity!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Principal Consultant: Data at Transparity.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Transparity.
✨Apply Directly through Our Website
When you find a suitable opening like Principal Consultant: Data at Transparity, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Principal Consultant: Data in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Transparity, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Transparity. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Transparity
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Transparity!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
