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For Companies At a Glance
- Tasks: Lead exciting data projects, from design to delivery, making a real business impact.
- Company: Join Fynity, a leading boutique consultancy known for its skilled data professionals.
- Benefits: Enjoy a competitive salary, annual bonuses, private medical, and flexible remote work options.
- Why this job: Work with top industry experts and witness the change your solutions create for clients.
- Qualifications: Experience in data engineering, client-facing roles, and strong technical skills are essential.
- Other info: This hybrid role requires occasional office visits in London and Surrey.
The predicted salary is between 51000 - 68000 £ per year.
Overview
Senior Data Engineering Consultant required by a fast-growing boutique consultancy. This is a superb opportunity to join a specialist Data & Insights Practice and play a key role where you will lead, design and deliver data & BI projects for a range of clients, whilst still applying your hands-on data engineering skills.
Responsibilities
- Engaging with customer stakeholders, forging strong relationships and capturing requirements
- Designing and building technical data solutions using a variety of different data tools and platforms
- Consulting with clients on the best approach and most suitable data technologies
- Leading projects, delivery and documentation
- Using your hands-on technical skills to write code, architect, build and deploy solutions
- Managing and mentoring junior consultants on deliveries
Your skills / Qualifications
- To be considered you must be a Data Consultant or Data Engineer who has strong hands-on technical skills in data modelling / dimensional modelling & architecting BI solutions
- You will bring a track record of leading projects and driving them across all aspects of the lifecycle – not just working as part of a big team writing code
- You will possess a strong blend of technical and functional experience, ideally in a client-facing/consultancy environment, delivering end-to-end projects successfully
- Your hands-on technical skillset should include data engineering, data modelling, dimensional modelling and designing/architecting BI solutions
- You will be adaptable and able to work with different tools and technologies, depending on client/project needs; strength in some or all of the following: MS Fabric stack, Databricks, Snowflake, Azure / AWS, SQL (advanced), Power BI, Tableau, Data Modelling including star schema
- A general IT architecture and systems integration background is required. Other technologies such as Azure Data Factory, RedShift, Informatica, Qlik or similar are useful; openness to learning new skills
- Experience in Oracle OBIEE and/or Oracle Analytics Cloud is desirable but not essential
- Excellent communication skills and the ability to engage and manage client stakeholders
What is the package?
- A competitive salary of £55,000-£70,000 (depending on level of experience) and an annual bonus of £5k-£7k (paid quarterly)
- Private medical, pension (up to 5% matched) and other perks such as a mobile phone allowance
Work arrangement
This is a hybrid role that offers flexibility to work remotely, with visits to the office in Surrey (close to Heathrow) required roughly once a week, and some weeks varying.
Location and opportunities
This consultancy has big ambitions to grow. If you are a Senior Data Engineering Consultant with strong tech skills and want to work alongside some of the industry\\\’s best on exciting client projects, this could be the challenge you are seeking!
If you are interested please apply ASAP. The People Network is an employment agency and will respond to all applicants within three – five working days. If you do not hear within these timescales please feel free to get in touch
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Senior Data Engineering Consultant employer: Fynity
Contact Detail:
Fynity Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineering Consultant
✨Tip Number 1
Make sure to showcase your hands-on technical skills during any discussions. Be prepared to discuss specific data projects you've worked on, detailing your role and the impact of your contributions.
✨Tip Number 2
Familiarise yourself with the tools mentioned in the job description, such as MS Fabric, Databricks, and SQL. Being able to speak confidently about these technologies will demonstrate your readiness for the role.
✨Tip Number 3
Highlight your experience in stakeholder engagement and project management. Prepare examples that illustrate how you've successfully led projects or mentored junior colleagues in previous roles.
✨Tip Number 4
Since this is a client-facing role, practice your communication and presentation skills. Be ready to explain complex data solutions in a way that non-technical stakeholders can understand.
We think you need these skills to ace Senior Data Engineering Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on technical data engineering skills and experience with the full end-to-end lifecycle of data projects. Use specific examples that demonstrate your ability to deliver value-adding data solutions.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with the responsibilities outlined in the job description, particularly your experience in consulting and managing projects.
Showcase Relevant Skills: Clearly list your technical skills relevant to the position, such as MS Fabric stack, Databricks, SQL, and any other tools mentioned in the job description. Provide examples of how you've used these skills in past roles.
Highlight Leadership Experience: Since the role involves managing junior consultants, be sure to include any leadership or mentoring experience you have. Discuss specific instances where you led a project or guided team members to success.
How to prepare for a job interview at Fynity
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with data engineering tools like MS Fabric, Databricks, and SQL. Highlight specific projects where you successfully implemented technical solutions, as this will demonstrate your capability to deliver value-adding data solutions.
✨Demonstrate Project Leadership
Since the role involves managing junior consultants and leading projects, be ready to share examples of how you've taken ownership of data projects. Discuss your approach to requirements gathering, stakeholder engagement, and how you ensured successful project delivery.
✨Emphasise Your Problem-Solving Abilities
Prepare to talk about complex business problems you've solved through data solutions. Use specific examples to illustrate your analytical thinking and how your contributions made a significant impact on the client's business.
✨Exhibit Your Communication Skills
As this is a client-facing role, strong communication skills are essential. Practice explaining technical concepts in a way that non-technical stakeholders can understand. This will show your ability to engage effectively with clients and team members alike.
