At a Glance
- Tasks: Design and maintain scalable data pipelines using Python, SQL, and Azure technologies.
- Company: Join a rapidly-scaling digital transformation consultancy in the Property Management sector.
- Benefits: Earn £85,000 plus bonuses, enjoy 25 days leave, and flexible hybrid working.
- Other info: Collaborative environment with a focus on work-life balance and career growth.
- Why this job: Drive innovation in data engineering and enhance platforms with modern Azure tools.
- Qualifications: Senior Data Engineer experience with Python, SQL, and Azure platform expertise required.
The predicted salary is between 85000 - 85000 € per year.
Dedicated to a rapidly-scaling digital transformation consultancy and SaaS provider in the Property Management sector, this role will drive the next stage in the company’s data engineering practices, focusing on the deployment of enterprise‑level data pipelines and the enhancement of the platform through modern Azure technologies.
Key Responsibilities
- Design, develop and maintain scalable data pipelines using Python, SQL and dbt.
- Implement Azure Functions, Azure Data Factory (ADF) and other Azure tooling to store and orchestrate data.
- Collaborate with cross‑functional teams to understand data requirements and translate them into solutions.
- Drive improvements to the platform using Azure DevOps, Azure Resource Manager and infrastructure‑as‑code with Terraform.
- Participate in code reviews, continuous integration/continuous delivery (CI/CD) processes, and ensure high quality of deployments.
Required Experience and Skills
- Senior Data Engineer experience with Python and SQL.
- Expertise in Azure‑based platform technologies, including Azure DevOps, CI/CD, Terraform, and related infrastructure‑as‑code tools.
- Experience using SQL Data Build Tool (dbt).
- Proficiency working with Azure Functions, Azure Data Factory (ADF) and associated Azure services.
- Familiarity with GA4, HubSpot or similar analytics platforms is a plus.
Benefits
- Competitive salary of £85,000 plus bonus scheme.
- 25 days annual leave with additional leave entitlement.
- Annual company away days and performance‑related bonuses.
- Flexible working days; hybrid work model — three days in‑office, two days remote.
- Work‑life balance focus with a flexible schedule.
- Workplace pension and private health‑care scheme.
Senior Data Platform Engineer - Central London (Hybrid) - £85,000 in City of Westminster employer: Ada Meher
As a rapidly-scaling digital transformation consultancy and SaaS provider in the Property Management sector, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to excel. With a competitive salary of £85,000, generous annual leave, and a flexible hybrid working model, we prioritise work-life balance while offering ample opportunities for professional growth through hands-on experience with cutting-edge Azure technologies. Join us in Central London to be part of a dynamic team dedicated to driving impactful data engineering solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Platform Engineer - Central London (Hybrid) - £85,000 in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This gives potential employers a taste of what you can do, especially with Azure technologies.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL knowledge, and be ready to discuss how you've used Azure tools in past projects. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Platform Engineer - Central London (Hybrid) - £85,000 in City of Westminster
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Platform Engineer. Highlight your experience with Python, SQL, and Azure technologies, and don’t forget to mention any relevant projects that showcase your skills in building scalable data pipelines.
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 mission at StudySmarter. Be sure to mention specific tools and technologies you’ve worked with that are relevant to the job.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in previous roles. Whether it’s optimising data processes or collaborating with teams, we want to see how you approach problems and find solutions using Azure and other tools.
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 shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Ada Meher
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, SQL, and Azure tools. Brush up on your experience with Azure Functions, Azure Data Factory, and Terraform, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and implemented scalable data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you tackled challenges in previous roles.
✨Collaborate and Communicate
Since this role involves working with cross-functional teams, be ready to demonstrate your collaboration skills. Share experiences where you’ve successfully translated data requirements into solutions, and emphasise your ability to communicate complex ideas clearly.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data engineering practices and future projects. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values, especially regarding work-life balance and flexibility.
