At a Glance
- Tasks: Design and build enterprise-grade data platforms in the financial services sector.
- Company: Leading firm in financial services with a focus on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with potential for career advancement.
- Why this job: Join a dynamic team and shape the future of data engineering.
- Qualifications: Extensive experience in multi-pattern data engineering and strong SQL skills.
The predicted salary is between 60750 - 74250 £ per year.
We are seeking a Senior Data Engineer to design, build, and scale enterprise‑grade data integration and ingestion platforms within the financial services and capital markets domain.
The role requires multi‑pattern data engineering expertise, supporting complex data movement, real‑time and batch ingestion, and Change Data Capture (CDC) architectures across heterogeneous source systems into a modern data platform built on Microsoft Fabric.
This is not a single‑tool or single‑pattern role.
The ideal candidate is a cross‑pattern data engineer who can work fluently across relational databases, managed SQL services, blob/object storage, and flat‑file‑based integrations while ensuring performance, scalability, and data consistency at enterprise scale.
Required Skills & Experience
- Strong experience as a Senior Data Engineer working on enterprise‑scale data platforms.
- Proven expertise in multi‑pattern data engineering, not limited to a single tool or technology.
• Hands‑on experience with multiple source systems
- Relational Databases: Oracle, My SQL, Postgre SQL
- Managed SQL Services: Azure SQL Managed Instance
- Storage: Blob/Object storage, flat files
• Deep understanding of CDC/CDF concepts, including
- Primary key–based change tracking
- Timestamp‑based capture
- Log‑based change capture
- Latency and performance considerations under scale
- Experience designing pipelines that handle high data volumes and evolving performance requirements.
- Strong SQL skills and understanding of data modeling for analytical platforms.
- Experience integrating data pipelines into Microsoft Fabric or comparable modern data platforms.
- Ability to work across teams and domains in a regulated, data‑intensive financial environment.
Nice to Have
- Experience in capital markets, financial data platforms, or market data systems.
- Exposure to real‑time or near‑real‑time ingestion patterns.
- Familiarity with cloud‑native monitoring, observability, and data quality frameworks.
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Senior Data Engineer in London employer: Ascendion
Ascendion is an exceptional employer that fosters a culture of innovation and collaboration in the heart of Greater London. With a strong emphasis on employee growth, we provide ample opportunities for professional development and engagement with senior stakeholders across diverse teams. Our commitment to agile methodologies and cutting-edge technology ensures that you will be at the forefront of cloud architecture and DevOps, making a meaningful impact in your role.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ascendion!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer at Ascendion.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ascendion.
✨Apply Directly through Our Website
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We think you need these skills to ace Senior Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ascendion, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ascendion. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ascendion
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ascendion!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
