At a Glance
- Tasks: Transform reporting processes into insight-driven decisions and build robust data pipelines.
- Company: Join a finance-focused client in South Wales with a dynamic team.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a small, collaborative Data/BI team with excellent career advancement potential.
- Why this job: Lead self-service analytics and make a real impact on data-driven decision-making.
- Qualifications: Experience in data engineering and familiarity with Microsoft stack tools.
The predicted salary is between 63000 - 77000 £ per year.
Inta People is seeking an experienced Data Engineer for a South Wales client in a finance-focused environment.
The role focuses on transforming reporting-led processes into insight-driven decisions, building robust data pipelines, and enabling self-service analytics at scale.
You will work within a small Data/BI team, leveraging Kimball modelling, Microsoft stack tools, and best practices to deliver high-quality data products and support reporting needs across the business.
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Senior Data Engineer — Self-Service Analytics Lead in Newport employer: IntaPeople: STEM Recruitment
IntaPeople is an exceptional employer that prioritises a nurturing work culture and offers ample opportunities for internal progression, making it a perfect fit for experienced developers. Located in Cardiff, the company provides flexibility for office visits, ensuring a balanced work-life dynamic while allowing you to engage directly with clients and lead impactful Umbraco projects.
Contact Details:
IntaPeople: STEM Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer — Self-Service Analytics Lead in Newport
✨Get Involved in Data Science Meetups
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✨Apply Directly through Our Website
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We think you need these skills to ace Senior Data Engineer — Self-Service Analytics Lead in Newport
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 IntaPeople: STEM 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 IntaPeople: STEM 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 IntaPeople: STEM 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 IntaPeople: STEM 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.
