At a Glance
- Tasks: Build scalable data pipelines and support automation across the business.
- Company: Leading Financial Services organisation undergoing a major data transformation.
- Benefits: Competitive salary, strong benefits package, and flexible working options.
- Other info: Fast-paced, collaborative environment with opportunities for growth in emerging technologies.
- Why this job: Join a dynamic team and expand your skills in modern data technologies and AI.
- Qualifications: Strong SQL skills and hands-on experience with cloud data platforms like Snowflake.
The predicted salary is between 55000 - 75000 £ per year.
A leading Financial Services organisation is going through a large scale data transformation and is looking to hire several Senior Data Engineers on a permanent basis. The roles offer a base salary between £55,000 and £75,000 + a strong benefits package and very flexible working.
They are looking for curious, commercially minded Data Engineers who want to develop their skills in modern data technologies and play a part in the organisations expansion into AI. You will be involved in building scalable data pipelines, improving data models and supporting automation and analytics across the business.
Snowflake, Databricks, and Azure sit at the core of the platform, but the client is technology-agnostic and open to candidates from other modern data environments who are keen to grow into newer technologies.
Key experience- Strong SQL skills are essential
- Hands-on experience with Snowflake or a comparable cloud data platform, with a genuine interest in modern and emerging data technologies
- Cloud experience across Azure, AWS or similar. The client is technology agnostic and values transferable skills over specific stack experience
- Python, PySpark or equivalent modern data engineering tooling
- Comfortable working at pace in a collaborative, fast-moving environment
If you are an experienced Data Engineer with the relevant background, please respond to this advert in the first instance for review.
Senior Data Engineer in Eastbourne employer: McCabe & Barton
Join a leading Financial Services organisation that prioritises innovation and employee development. With a strong benefits package, flexible working arrangements, and a commitment to embracing modern data technologies, this is an excellent opportunity for Senior Data Engineers looking to grow their skills in a collaborative environment. Be part of a transformative journey into AI while enjoying a culture that values curiosity and commercial acumen.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Eastbourne
✨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 McCabe & Barton!
✨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 McCabe & Barton.
✨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 McCabe & Barton.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at McCabe & Barton, 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 in Eastbourne
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 McCabe & Barton, 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 McCabe & Barton. 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 McCabe & Barton
✨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 McCabe & Barton!
✨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.
