At a Glance
- Tasks: Design and develop scalable data pipelines using Azure and Snowflake technologies.
- Company: Join a leading financial services organisation with a collaborative tech team.
- Benefits: Competitive salary of £125k+, flexible working, and bonus opportunities.
- Other info: Opportunity for career growth in a forward-thinking environment.
- Why this job: Make a real impact by developing modern cloud-based data solutions.
- Qualifications: Experience with Azure Data Factory, Snowflake, and advanced SQL skills required.
The predicted salary is between 125000 - 130000 £ per year.
We are working with a highly regarded financial services organisation looking to hire an experienced Data Engineer to join a growing data function.
This role sits within a collaborative technology team responsible for delivering scalable data solutions, business intelligence and workflow automation that support key business functions across the organisation.
This is a hands-on position suited to someone with a strong background in Azure data technologies, data engineering and reporting.
You\'ll be responsible for developing robust data pipelines, building insightful dashboards and ensuring high-quality, reliable data is available to stakeholders across the business.
The successful candidate will have significant commercial experience working with both Azure Data Factory (ADF) and Snowflake, as these technologies form the core of the organisation\'s data platform.
Key Responsibilities
- Design, develop and maintain scalable data pipelines using Azure Data Factory.
- Develop and optimise data models and transformation processes within Snowflake.
- Build and enhance Power BI dashboards and reports, translating business requirements into meaningful visualisations.
- Write efficient and complex SQL queries to support reporting, analytics and data integration.
- Work closely with business stakeholders to gather requirements and deliver data-driven solutions.
- Develop and support automated workflows using Microsoft Power Platform technologies where appropriate.
- Monitor and improve data quality, validation processes and data integrity across multiple data sources.
- Troubleshoot production issues, perform root cause analysis and implement long-term improvements.
- Contribute to best practices around data engineering, governance and documentation.
- Support ongoing enhancement of the organisation\'s cloud-based data platform.
- Required Experience
- Proven experience working as a Data Engineer, Analytics Engineer, BI Developer or similar.
- Strong hands-on experience with Azure Data Factory (ADF), including building and maintaining production ETL/ELT pipelines.
- Demonstrable commercial experience using Snowflake to develop, optimise and manage cloud-based data solutions.
- Advanced SQL skills with experience writing complex queries, stored procedures and data transformations.
- Strong Power BI experience, including DAX, Power Query and data modelling.
- Experience working within Microsoft Azure.
- Excellent stakeholder engagement and requirements gathering skills.
- Strong analytical and problem-solving abilities.
- Python scripting for data engineering or automation.
- Power Automate or wider Microsoft Power Platform experience.
- Experience working with enterprise platforms such as Service Now or Workday.
- Previous experience within financial services, banking, asset management or another regulated environment.
- Exposure to AI-enabled analytics or modern data platforms would be advantageous.
- What\'s on Offer
This is an excellent opportunity to join a forward-thinking technology team where you\'ll play a key role in developing modern cloud-based data solutions.
You\'ll work with contemporary Azure technologies, contribute to strategic data initiatives and have the opportunity to influence how data is used across the business.
Please note this role requires 5 days a week in-office attendance but they do offer flexible working around major school holiday periods.
The salary is between £125k-£130k + benefits + bonus.
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Data Engineer- £125k+ (Azure/Snowflake) employer: Vertus Partners
Join a dynamic financial services organisation that values innovation and collaboration, offering a vibrant work culture in the heart of London. As a Data Engineer, you'll have the opportunity to drive meaningful change through data analytics while enjoying competitive benefits, professional development opportunities, and a flexible approach to work during school holidays. This role not only allows you to enhance your technical skills but also empowers you to make a significant impact on business operations.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer- £125k+ (Azure/Snowflake)
✨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 Vertus Partners!
✨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 Data Engineer- £125k+ (Azure/Snowflake) at Vertus Partners.
✨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 Vertus Partners.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer- £125k+ (Azure/Snowflake) at Vertus Partners, 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 Data Engineer- £125k+ (Azure/Snowflake)
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 Vertus Partners, 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 Vertus Partners. 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 Vertus Partners
✨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 Vertus Partners!
✨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.
