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: Up to £90,000 salary, hybrid working, private healthcare, and 25 days holiday.
- Other info: Great career progression and ongoing training opportunities.
- Why this job: Join a dynamic team and make a real impact in the financial services sector.
- Qualifications: Strong data engineering skills and experience with modern data tools.
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
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.
- Competitive salary with discretionary bonus
- Hybrid working model
- Private healthcare
- Enhanced pension contributions
- 25 days holiday, increasing with tenure
- Ongoing training and career development
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.
DATA ENGINEER ESSENTIAL SKILLS
- Strong experience in data engineering and building scalable data solutions
- Solid understanding of data architecture and design patterns
- Data warehousing experience (e.g. Snowflake, Azure SQL)
- Strong SQL and data modelling skills
- Experience with ETL/ELT pipelines and modern data tooling
- Experience contributing to project planning, scoping, and delivery
Data Engineering, SQL, Python, Azure, Snowflake, ETL, Data Warehousing, Data Architecture, Data Pipelines, CI/CD
Senior Engineer, Data Engineering employer: Searchability
Join a leading consultancy in London that offers a dynamic work environment with a strong focus on employee development and career progression. With a competitive salary, hybrid working model, and comprehensive benefits including private healthcare and enhanced pension contributions, this role provides the opportunity to work on impactful client projects while utilising cutting-edge Azure data technologies. Embrace a culture of collaboration and innovation, where your contributions directly influence the success of high-profile data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering
✨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 engineering projects, especially those involving Azure and ETL processes. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving 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 seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your data engineering expertise, especially with Azure and SQL, to show us you’re the right fit for the role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about data engineering and how your consultancy experience aligns with our needs. Be specific about your achievements and how they relate to the role.
Showcase Your Projects:If you've worked on relevant projects, don’t hold back! Share examples of scalable data solutions you've built or contributed to. This gives us insight into your hands-on experience and problem-solving skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Searchability
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially around SQL, Azure, and ETL processes. Be ready to discuss specific projects where you've built scalable data solutions or worked with data warehousing tools like Snowflake.
✨Showcase Your Consultancy Experience
Since this role is client-facing, highlight any previous consultancy experience you have. Talk about how you've gathered requirements from clients and delivered hands-on solutions, as well as how you’ve collaborated with project managers.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice explaining data architecture concepts and design patterns clearly. You might also be asked to solve a problem on the spot, so be ready to think on your feet!
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the team dynamics, ongoing training opportunities, or how they approach project governance. This shows your interest in the role and helps you gauge if it’s the right fit for you.
