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- Tasks: Join a dynamic team to build enterprise-level data pipelines using modern tech.
- Company: Rapidly-scaling Digital Transformation Consultancy in the Property Management sector.
- Benefits: £85,000 salary, 25 days leave, flexible working, and performance bonuses.
- Other info: Opportunities for professional development and a supportive work environment.
- Why this job: Drive innovation and growth while enjoying a great work-life balance.
- Qualifications: Expertise in Python, SQL, and experience with Azure tools required.
The predicted salary is between 85000 - 85000 £ per year.
A rapidly-scaling Digital Transformation Consultancy and SaaS business in the Property Management sector is seeking a Senior Data Engineer to join their team. The company is looking for a candidate to help drive their established Data Engineering function to the next level.
The client delivers robust, reliable technology-driven transformations for market-leading clients while ensuring quality and avoiding internal burn-out. The role involves working on enterprise-level Data Pipelines with modern technologies such as Python, SQL (dbt), Azure Functions / ADF, and some Tableau/Snowflake to streamline operations and improve data quality.
As part of their commitment to work/life balance, the company operates on a hybrid basis, with employees spending 3 days a week in the office and the rest working remotely. They offer a flexible schedule, allowing you to manage your workload effectively.
To be considered:
- Experience working as a Senior Data Engineer
- Expert level experience in Data Engineering using Python and SQL
- Experience working with SQL Data Build Tool (dbt)
- Experience with Azure Functions, Azure Data Factory (ADF), and other associated Azure Tooling (e.g., Azure DevOps)
- Any experience with Tableau or Snowflake would be beneficial
- Experience with GA4, HubSpot, or similar platforms would also stand out
While this is a Senior role, the client offers various opportunities for learning and development to all staff, whether through professional qualifications, exposure to business projects, or informal lunch and learns hosted by colleagues. It is an ideal opportunity for a candidate seeking progression and growth in the workplace.
The company is highly regarded for both the solutions they provide and the working environment they create, offering many fantastic perks such as 25 days leave, annual away days, performance-related bonuses, flexible working days, and remote working options. They provide a competitive salary along with a great workplace pension and private healthcare scheme.
This role is attracting a high volume of applicants, so be sure to get in contact ASAP to avoid missing out on this opportunity.
Senior Data Engineer - Central London (Hybrid) - £85,000 employer: Ada Meher
Contact Detail:
Ada Meher Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Central London (Hybrid) - £85,000
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who might know someone at the company you're eyeing. A personal introduction can make all the difference in getting your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Since this role focuses on Python, SQL, and Azure, make sure you can confidently discuss your experience with these technologies. We want you to shine!
✨Tip Number 3
Showcase your passion for data engineering! During interviews, share specific examples of projects you've worked on that demonstrate your expertise and how you've contributed to team success. Let them see your enthusiasm!
✨Tip Number 4
Don’t forget to follow up after your interview! A quick thank-you email reiterating your interest in the position can keep you top of mind. Plus, it shows your professionalism and eagerness to join their team.
We think you need these skills to ace Senior Data Engineer - Central London (Hybrid) - £85,000
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any relevant tools like dbt or Azure. We want to see how your skills match the job description, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how you can contribute to our team. Keep it concise but engaging – we love a bit of personality!
Showcase Your Projects: If you've worked on any impressive data engineering projects, make sure to mention them! We’re keen to see how you’ve used your skills in real-world scenarios, especially with enterprise-level data pipelines.
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 from us!
How to prepare for a job interview at Ada Meher
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, dbt, and Azure Functions. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data engineering challenges. Think about specific situations where you improved data quality or streamlined operations. This will demonstrate your ability to drive results and contribute to the team’s success.
✨Understand the Company Culture
Research the company’s approach to work/life balance and their hybrid working model. Be ready to discuss how you can fit into their culture and contribute positively. Showing that you align with their values can set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and growth opportunities within the company. This not only shows your interest but also helps you gauge if the company is the right fit for you. Remember, interviews are a two-way street!