At a Glance
- Tasks: Build and manage data pipelines using Azure technologies for impactful analytics.
- Company: Forward-thinking organisation modernising its data platform.
- Benefits: Salary up to £70,000, hybrid working, pension scheme, and private healthcare.
- Other info: Opportunities for training and development in a collaborative environment.
- Why this job: Join a hands-on role to design future-ready data solutions and drive insights.
- Qualifications: Experience with Azure services, Power BI, SQL, Python, or PySpark required.
The predicted salary is between 70000 - 70000 £ per year.
I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong focus on Microsoft technologies and cloud-first architecture, they are looking to bring on a Data Engineer to help design and deliver impactful data solutions using Azure.
This is a hands‑on role where you will work across the full data stack, collaborating with architects, analysts, and stakeholders to build a future-ready platform that drives insight and decision‑making.
Responsibilities- Building and managing data pipelines using Azure Data Factory and related services.
- Building and maintaining data lakes, data warehouses, and ETL/ELT processes.
- Designing scalable data solutions and models for reporting in Power BI.
- Supporting data migration from legacy systems into the new platform.
- Ensuring data models are optimised for performance and reusability.
- Hands‑on experience creating data pipelines using Azure services such as Synapse and Data Factory.
- Reporting experience with Power BI.
- Strong understanding of SQL, Python, or PySpark.
- Knowledge of the Azure data platform including Azure Data Lake Storage, Azure SQL Data Warehouse, or Azure Databricks.
- Salary up to £70,000
- Hybrid working model twice per week in Portsmouth
- Pension scheme and private healthcare options
- Opportunities for training and development
This is just a brief overview of the role. For the full details, simply apply with your CV and I’ll be in touch to discuss it further.
Senior Data Engineer in London employer: Nigel Frank
Join a forward-thinking organisation that prioritises innovation and employee development, offering a hybrid working model in the vibrant city of Portsmouth. With a strong emphasis on modernising data platforms and utilising cutting-edge Microsoft technologies, employees benefit from a collaborative work culture, comprehensive training opportunities, and a competitive salary package, including pension and private healthcare options. This is an excellent opportunity for those looking to make a meaningful impact in the field of data engineering while advancing their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. 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 projects, especially those involving Azure Data Factory and Power BI. This gives potential employers a taste of what you can do beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Be ready to discuss your experience with SQL, Python, and building data pipelines. Practice makes perfect!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure services and data pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your hands-on experience!
Showcase Your Projects:If you've worked on any relevant projects, especially those involving Power BI or data migration, include them! We love seeing real-world applications of your skills, so share what you’ve built and the impact it had.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so avoid jargon and get straight to the point about your qualifications and why you’re a great fit for the Senior Data Engineer role.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Nigel Frank
✨Know Your Azure Inside Out
Make sure you brush up on your knowledge of Azure services, especially Data Factory and Synapse. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Pipeline Skills
Prepare to talk about specific data pipelines you've built. Highlight the processes you used for ETL/ELT and how you ensured data quality and performance. Real-world examples will make your experience stand out!
✨Power BI Proficiency is Key
Since reporting with Power BI is a big part of the role, be ready to demonstrate your skills. Bring examples of dashboards or reports you've created, and explain how they provided insights that drove decision-making.
✨Collaboration is Crucial
This role involves working closely with architects, analysts, and stakeholders. Prepare to discuss how you've collaborated in the past, focusing on communication and teamwork. Share examples of how you’ve contributed to a project’s success through collaboration.
