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 in London 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 in London
✨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 have loads of opportunities waiting for talented individuals like you. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Senior Data Engineer: Azure Cloud Migration & Data Platform in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your expertise in SQL Server, Python, and cloud migration to show us you're the perfect fit!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this opportunity. Share specific examples of your past projects, especially those involving ETL/ELT pipelines and cloud technologies, to grab our attention.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies! We want to see your experience with Apache Airflow, DBT, and any other relevant tools. Make it easy for us to see how you can contribute to our data platform.
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 the context of cloud migration and data engineering.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges. Think about times when you translated business requirements into technical solutions, and be ready to explain your thought process.
✨Familiarise Yourself with the Company’s Data Strategy
Research the organisation's current data initiatives and cloud migration efforts. Understanding their goals will help you align your answers with their needs and demonstrate your genuine interest in the role.
✨Prepare for Technical Questions
Expect to dive deep into technical discussions. Brush up on ETL/ELT processes, DBT models, and CI/CD practices. Practising coding challenges or system design questions can also give you an edge.
