At a Glance
- Tasks: Design and implement scalable data solutions for high-impact client projects.
- Company: A leading consultancy in data strategy and technology solutions.
- Benefits: Competitive salary, hybrid work, private healthcare, and 25 days holiday.
- Other info: Strong career growth opportunities and ongoing training in a collaborative environment.
- Why this job: Join a dynamic team and innovate with cutting-edge Azure technologies.
- Qualifications: Experience in data engineering, SQL, and cloud platforms like Azure.
The predicted salary is between 90000 - 90000 £ per year.
A well-established consultancy specialising in data strategy and technology solutions within the financial services space is seeking a Data Engineer with consultancy experience.
Salary up to £90,000 + discretionary bonus
London-based role with hybrid working
Work across high-impact client projects with broad exposure to modern Azure data stack and cloud technologies. Strong progression and training opportunities within a growing consultancy.
Benefits:
- Competitive salary with discretionary bonus
- Hybrid working model
- Private healthcare
- Enhanced pension contributions
- 25 days holiday, increasing with tenure
- Ongoing training and career development
- Exposure to a wide range of technologies and clients
Role Overview:
You’ll play a key role in delivering end-to-end data solutions, working closely with clients to design, build, and implement scalable data platforms. This is a hands-on, client-facing role where you’ll contribute to solution design, gather requirements, and support project delivery from concept through to completion. You’ll also collaborate with project managers on complex engagements, provide technical insight into proposals and Statements of Work, and support governance and best practice across projects. There’s a strong focus on innovation, with opportunities to contribute ideas and shape how solutions are delivered.
Essential Skills:
- Strong experience in data engineering and building scalable data solutions
- Solid understanding of data architecture and design patterns
- Experience with cloud platforms, particularly Azure
- Data warehousing experience (e.g. Snowflake, Azure SQL)
- Strong SQL and data modelling skills
- Experience with ETL/ELT pipelines and modern data tooling
- Ability to engage with stakeholders and communicate technical concepts clearly
- Experience contributing to project planning, scoping, and delivery
Key Skills: Data Engineering, SQL, Python, Azure, Snowflake, ETL, Data Warehousing, Data Architecture, Data Pipelines, CI/CD
Azure Data Engineer — Hybrid, Client‑Facing Projects employer: Searchability
Join a dynamic consultancy that prioritises innovation and employee growth, offering a competitive salary and hybrid working model in the heart of London. With a strong focus on hands-on client projects, you'll gain exposure to cutting-edge Azure technologies while enjoying comprehensive benefits like private healthcare and enhanced pension contributions. This is an excellent opportunity for data engineers looking to advance their careers in a supportive environment that values collaboration and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Azure Data Engineer — Hybrid, Client‑Facing Projects
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your hands-on experience with Azure and data engineering. We recommend setting up mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 3
Don’t just apply blindly! Tailor your approach for each role by highlighting relevant skills and experiences that match the job description. Show them you’re not just another applicant, but the perfect fit for their team.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Plus, it shows your enthusiasm for the role and the company. And remember, check out our website for more opportunities!
We think you need these skills to ace Azure Data Engineer — Hybrid, Client‑Facing Projects
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data engineering and Azure technologies. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects and achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this consultancy role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for the position.
Showcase Your Client-Facing Skills:Since this is a client-facing role, make sure to mention any experience you have working directly with clients. We want to know how you’ve successfully communicated technical concepts and delivered solutions in the past.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Searchability
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge before the interview. Familiarise yourself with the latest features and services, especially those related to data engineering. Being able to discuss how you've used Azure in past projects will show your expertise and enthusiasm for the role.
✨Showcase Your Data Solutions Experience
Prepare specific examples of scalable data solutions you've built or contributed to. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will demonstrate your hands-on experience and problem-solving skills, which are crucial for this client-facing role.
✨Communicate Clearly with Stakeholders
Since this role involves engaging with clients, practice explaining technical concepts in simple terms. Think about how you would describe your work to someone without a technical background. This will help you convey your ideas effectively during the interview and show that you can bridge the gap between technical and non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems or scenarios related to data engineering. Think through how you would approach designing a data solution or handling a project setback. This will not only showcase your technical skills but also your ability to think critically and adapt in real-time.
