At a Glance
- Tasks: Design and implement scalable data solutions for high-impact client projects.
- Company: Dynamic consultancy specialising in data strategy and technology solutions.
- Benefits: Up to £90,000 salary, hybrid working, private healthcare, and 25 days holiday.
- Other info: Strong progression opportunities and ongoing training in a collaborative environment.
- Why this job: Join a growing team and make a real impact in the financial services sector.
- Qualifications: Experience in data engineering, SQL, and building scalable data solutions.
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
Ingegnere dei dati (f/m) 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 competitive salaries, hybrid working options, and a commitment to ongoing training, this company provides an excellent platform for data engineers to thrive while working on impactful projects for a diverse global client base.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m)
✨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 a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Azure and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with ETL pipelines and data architecture, as these are key in the consultancy space.
✨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 take the initiative to connect directly with us.
We think you need these skills to ace Ingegnere dei dati (f/m)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data engineering, SQL, 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 your background aligns with our consultancy's focus on high-impact client projects. Let us know what excites you about this opportunity!
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in your application. Mention your experience with Azure, Snowflake, and ETL/ELT pipelines. We love seeing candidates who can hit the ground running with modern data tooling!
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 get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Searchability
✨Know Your Data Stack
Make sure you brush up on your knowledge of the Azure data stack and any relevant cloud technologies. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data engineering. Think about times when you designed scalable data solutions or improved existing processes, and be ready to explain your thought process and the impact of your work.
✨Understand the Consultancy Landscape
Familiarise yourself with the consultancy's approach to data strategy and technology solutions, especially within financial services. This will help you align your answers with their values and demonstrate that you're genuinely interested in their work.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and project types. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you. Consider asking about their approach to training and career development opportunities.
