At a Glance
- Tasks: Design and implement scalable data solutions for high-impact client projects.
- Company: Established consultancy specialising in data strategy and technology solutions.
- Benefits: Competitive salary, hybrid working, private healthcare, and ongoing training.
- Other info: Strong career progression opportunities in a collaborative environment.
- Why this job: Join a dynamic team and innovate with cutting-edge cloud technologies.
- Qualifications: Experience in data engineering, SQL, and cloud platforms like Azure.
The predicted salary is between 90000 - 90000 € per year.
Salary up to £90,000 + discretionary bonus
London-based role with hybrid working
Work across high-impact client projects
Broad exposure to modern Azure data stack and cloud technologies
Strong progression and training opportunities within a growing consultancy
ABOUT THE CLIENT
Due to continued growth, we’re supporting a well-established consultancy specialising in data strategy and technology solutions within the financial services space. They work closely with a global client base, delivering high-quality, hands-on solutions rather than purely advisory services.
THE 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
THE DATA ENGINEER ROLE:
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.
DATA ENGINEER 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
Data Engineer employer: Searchability
As a leading consultancy in the financial services sector, we pride ourselves on fostering a dynamic work environment that champions innovation and professional growth. Our London-based Data Engineer role offers competitive salaries, hybrid working options, and extensive training opportunities, ensuring you can thrive while working on impactful client projects with cutting-edge technologies. Join us to be part of a collaborative culture where your contributions are valued and your career can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work in consultancy. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Azure and ETL processes. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with data architecture and how you've tackled challenges in past projects.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you're serious about joining the team and ready to dive into exciting client projects.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Azure, data architecture, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our consultancy. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in your application. Mention your experience with SQL, ETL/ELT pipelines, and any cloud platforms you've worked with. We’re keen to see how you can bring your expertise to our team!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Searchability
✨Know Your Data Stack
Make sure you’re well-versed in the modern Azure data stack and cloud technologies. Brush up on your experience with data warehousing solutions like Snowflake and Azure SQL, as well as your SQL skills. Being able to discuss these confidently will show that you’re ready for the hands-on nature of the role.
✨Showcase Your Project Experience
Prepare to talk about specific projects where you've designed, built, or implemented scalable data solutions. Highlight your role in gathering requirements and delivering projects from start to finish. This will demonstrate your ability to engage with clients and contribute effectively to project delivery.
✨Communicate Clearly
Since this is a client-facing role, practice explaining technical concepts in simple terms. Think about how you would describe your work to someone without a technical background. Clear communication can set you apart and show that you can engage with stakeholders effectively.
✨Be Ready to Innovate
The consultancy values innovation, so come prepared with ideas on how to improve data solutions. Think about past experiences where you contributed innovative ideas or improvements. Showing that you can think outside the box will resonate well with the interviewers.
