At a Glance
- Tasks: Design and build scalable data solutions for cloud migration and enterprise data platforms.
- Company: Leading Financial Services organisation focused on data evolution.
- Benefits: Competitive salary, career growth, and exposure to modern cloud technologies.
- Other info: Dynamic environment with opportunities for hands-on learning and collaboration.
- Why this job: Join a high-performing team and make an impact in data transformation.
- Qualifications: Strong experience in Data Engineering, SQL Server, Python, and cloud tools.
The predicted salary is between 60000 - 80000 £ per year.
A leading Financial Services organisation is seeking an experienced Senior Data Engineer to support the continued evolution of its enterprise data platform. This is an exciting opportunity for a highly technical, hands-on engineer with a strong background across both legacy Microsoft BI technologies and modern cloud data engineering tools.
The successful candidate will play a key role in designing, building and maintaining scalable data solutions while supporting the organisation’s migration from on-premise infrastructure to modern cloud-based environments. This role requires someone who is equally comfortable working with established SQL Server technologies as they are with modern orchestration and transformation tooling.
You will be responsible for developing robust ETL and ELT pipelines using Python and SQL, orchestrating workflows through Apache Airflow and implementing scalable transformation logic using DBT. Working closely with both technical and business stakeholders, you will help translate complex requirements into efficient and maintainable data solutions that support analytics, reporting and strategic decision making.
The environment remains heavily data-centric and infrastructure-aware, making this an ideal opportunity for someone who has continued to work hands-on with SQL Server technologies in recent years. Strong experience across SSIS, SSRS, SSAS and advanced T-SQL is essential, alongside experience supporting migration programmes from legacy on-prem platforms into cloud ecosystems.
The role also involves working within Unix/Linux environments for scripting, deployment and scheduling activities, alongside maintaining CI/CD processes and supporting best practices across version control, testing and documentation. You will collaborate across cross-functional teams to ensure seamless integration of data systems and maintain high standards of performance, governance and reliability.
To be considered, candidates should demonstrate strong commercial experience in Data Engineering within complex enterprise environments. You will have advanced Python programming skills for data pipelines, APIs and automation, alongside proven hands-on experience with Apache Airflow including DAG creation, orchestration and optimisation. Strong DBT experience covering models, macros, testing and documentation is also required.
Applicants must possess deep SQL Server expertise with recent hands-on experience across T-SQL, SSIS, SSRS and SSAS. Experience with ETL/ELT development, data warehousing and modern BI tooling such as Power BI, Tableau or Qlik is also highly desirable. Exposure to Docker, Agile delivery methodologies and CI/CD pipelines would be advantageous.
Previous experience within Financial Services or another regulated environment would be beneficial, particularly within organisations undergoing large-scale data transformation and cloud migration initiatives. This is an excellent opportunity to join a business investing significantly in its data capabilities, offering exposure to both modern cloud technologies and complex legacy systems within a high-performing engineering environment.
Senior Data Engineer: Azure Cloud Migration & Data Platform employer: Morson Edge (Technology)
Join a leading Financial Services organisation that prioritises innovation and employee development, offering a dynamic work culture where your contributions directly impact the evolution of our enterprise data platform. With a strong focus on cloud migration and modern data engineering, you'll have access to cutting-edge technologies and opportunities for professional growth, all while collaborating with cross-functional teams in a supportive environment that values excellence and continuous improvement.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer: Azure Cloud Migration & Data Platform
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in financial services or data engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure, Python, 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. Be ready to discuss your experience with ETL/ELT processes, Apache Airflow, and SQL Server. Practising common interview questions can help you feel more confident.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it makes it easier for us to keep track of your application and get back to you quickly.
We think you need these skills to ace Senior Data Engineer: Azure Cloud Migration & Data Platform
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SQL Server, Python, and cloud migration. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this opportunity and how your background in data engineering makes you a perfect fit for our team at StudySmarter.
Showcase Your Technical Skills:Be specific about your hands-on experience with tools like Apache Airflow and DBT. We love seeing concrete examples of how you've built ETL/ELT pipelines or worked within Unix/Linux environments.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at Morson Edge (Technology)
✨Know Your Tech Inside Out
Make sure you brush up on your SQL Server technologies, Python, and Apache Airflow. Be ready to discuss specific projects where you've used these tools, especially in cloud migration contexts. The more detailed your examples, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in data engineering, particularly with ETL/ELT processes. Think of a couple of scenarios where you had to translate complex requirements into effective solutions, and be ready to explain your thought process.
✨Understand the Business Side
Since you'll be working closely with both technical and business stakeholders, it’s crucial to demonstrate your understanding of how data impacts decision-making. Familiarise yourself with the financial services sector and be prepared to discuss how your work can drive business value.
✨Be Ready for Technical Questions
Expect some hands-on technical questions or even a coding challenge. Practice writing SQL queries, Python scripts, or designing workflows in Apache Airflow. This will help you feel confident and show that you're not just theory but also practical experience.
