At a Glance
- Tasks: Own and optimise data pipelines, ensuring reliability and shaping future development.
- Company: Dynamic financial services firm with a focus on innovation.
- Benefits: Competitive salary, performance incentives, flexible working, and career growth.
- Other info: Join a high-performance team with opportunities for professional development.
- Why this job: Make a real impact on data platforms in a collaborative environment.
- Qualifications: Experience in financial services, strong Snowflake and SQL skills required.
The predicted salary is between 60750 - 74250 £ per year.
- London hybrid, or remote with occasional London visits
- Competitive salary / contract rate to be discussed
We're working with a financial services business looking for an experienced Senior Data Engineer to take ownership of its data platform.
This is a hands-on opportunity for someone who enjoys getting under the skin of an existing platform, making sure it runs reliably and helping shape its future development.
Your initial focus will be taking over and stabilising the current setup, before evolving the Snowflake lakehouse.
The role
- Own production data pipelines from trading and internal databases, through AWS ECS Fargate and S3, into Snowflake.
- Build and maintain dbt models, including testing, documentation, lineage and CI/CD.
- Work closely with Finance and Risk to support client-money reconciliation and capital reporting data.
- Introduce data quality monitoring and alerts to keep information accurate and reliable.
- Manage Snowflake access, sensitive data masking, performance and costs.
- Deliver governed data marts and Power BI semantic models for reporting and management information.
- Work across Trading, Finance, Risk, Compliance, Marketing and Operations, supporting FCA and GDPR requirements.
What we're looking for
- Experience within financial services, trading or fintech.
- Strong hands-on Snowflake experience, including warehouse sizing, clustering, query profiling and cost control.
- Expert SQL and dimensional modelling skills.
- At least two years' experience using dbt in production.
- Python and AWS experience for data pipelines.
- Production Power BI experience, including DAX and Power Query.
- Experience with orchestration frameworks.
- A proven track record of owning production data platforms end to end, with clear responsibility and continuity in previous roles.
- Clear communication skills and confidence working with non-technical colleagues.
Experience with Terraform, Git, Git Hub Actions, Power BI Embedded, Microsoft Fabric or Snowflake Cortex would also be useful.
What's on offer
- Competitive remuneration, with performance-based incentives for permanent employees.
- Career development and progression opportunities.
- A supportive, high-performance team.
- Flexible working arrangements.
Remote applicants will need strong overlap with UK working hours and availability for occasional London visits.
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Senior Data Engineer employer: Indesure Recruitment
Join a dynamic and innovative claims organisation that prioritises employee growth and development in the field of subsidence claims. With a fully remote work environment, you will enjoy the flexibility to manage your own caseload while collaborating with a team of experts dedicated to delivering exceptional customer service. The company is committed to investing in its employees, offering competitive salaries and a comprehensive benefits package, making it an excellent choice for those seeking a rewarding career in a supportive and forward-thinking culture.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨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 Indesure Recruitment!
✨Show Off Your Projects
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 Indesure Recruitment.
✨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 Indesure Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Indesure Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Data Engineer
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 Indesure Recruitment, 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 Indesure Recruitment. 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 Indesure Recruitment
✨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 Indesure Recruitment!
✨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.
