At a Glance
- Tasks: Design and maintain AWS data pipelines, ensuring data quality for analytics and AI.
- Company: A digital-focused financial services organisation with a commitment to modern data capabilities.
- Benefits: £90,000 salary, hybrid working, health cover, pension, and flexible leave options.
- Other info: Clear progression opportunities as the data team expands.
- Why this job: Shape the future of data in a growing company and make a real technical impact.
- Qualifications: Strong AWS experience, proficiency in Python and SQL, and knowledge of Airflow.
The predicted salary is between 90000 - 90000 € per year.
This is an excellent opportunity to take ownership of a modern AWS data platform within a growing financial organisation. You will play a key role in shaping their data environment, strengthening engineering standards, and ensuring their data is ready for analytics and AI initiatives.
The Company
They are a digital-focused financial services organisation operating across commercial banking, fintech enablement, and lending. Their technology supports a wide range of products, and they continue to invest heavily in modern data capabilities. With strong momentum and a commitment to advancing their UK data function, they offer a place where you can make meaningful technical impact.
The Role
- Design and maintain end to end ELT and ETL pipelines within a large scale AWS environment.
- Build well structured data models and curated layers to support reporting and analytics.
- Improve data quality, observability, governance, and overall platform reliability.
- Lead architectural decisions and support a review of existing workflows and pipelines.
- Contribute to ongoing transformation and migration projects.
- Provide technical guidance and mentor a junior engineer.
Your Skills and Experience
- Strong commercial experience working with AWS in production environments.
- Proficiency in Python and SQL for data processing and orchestration.
- Experience with Airflow for workflow management.
- Knowledge of cloud data warehousing, ideally Redshift.
- Experience with infrastructure as code and CI/CD tooling such as Terraform and GitHub.
- Ability to build reliable, governed pipelines with strong data quality and lineage practices.
- Experience in regulated settings or fast moving scale ups is beneficial.
What They Offer
- Salary of £90,000.
- Hybrid working with 2-3 days in the office.
- A comprehensive benefits package including health cover, pension, insurance, enhanced leave, and flexible bank holiday options.
- Opportunities to influence architectural direction within a modern data and AI function.
- Clear progression as the data team continues to grow.
Senior Data Engineer in London employer: Energy Jobline ZR
As a leading digital-focused financial services organisation in Central London, we pride ourselves on fostering a dynamic work culture that encourages innovation and technical excellence. With a strong commitment to employee growth, we offer comprehensive benefits, hybrid working options, and the opportunity to shape our modern AWS data platform, making this an ideal environment for those looking to make a meaningful impact in the world of data and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the data engineering game. We can’t stress enough how personal connections can lead to job opportunities.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio of projects that highlight your AWS expertise, Python prowess, and any cool ETL pipelines you’ve built. We love seeing real examples of what you can do!
✨Ace the Interview
Prepare for those interviews by brushing up on technical questions related to AWS, SQL, and data modelling. We recommend practising with a friend or using mock interview platforms to get comfortable with the format and types of questions you might face.
✨Apply Through Our Website
When you find a role that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals to join our growing team!
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 is tailored to the Senior Data Engineer role. Highlight your experience with AWS, Python, and SQL, and don’t forget to mention any relevant projects that showcase your skills in building data pipelines and models.
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 aligns with the company’s goals. Mention your experience in regulated settings or fast-paced environments if applicable.
Showcase Your Technical Skills:When filling out your application, be sure to highlight your technical skills clearly. Mention your proficiency with tools like Airflow, Terraform, and GitHub, as well as your experience with data quality and governance practices.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Energy Jobline ZR
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially around data services like Redshift. Be ready to discuss your experience with ELT and ETL pipelines in a production environment, as this will be crucial for the role.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or explain how you've used these languages in past projects, so have some examples ready that highlight your data processing and orchestration skills.
✨Talk About Data Quality and Governance
Since the company values strong data quality and governance, be prepared to discuss your approach to building reliable data pipelines. Share specific instances where you've improved data observability and platform reliability in your previous roles.
✨Be Ready to Lead and Mentor
As this role involves mentoring a junior engineer, think about your leadership style and how you've supported others in the past. Be ready to share examples of how you've contributed to architectural decisions and guided teams through transformation projects.
