At a Glance
- Tasks: Design and maintain data pipelines and BI reports for core banking systems.
- Company: Join a leading financial services firm focused on innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on compliance and risk management.
- Why this job: Be at the forefront of data engineering in a dynamic banking environment.
- Qualifications: Strong skills in SSIS, SSAS, SSRS, and C#/.NET development required.
The predicted salary is between 49500 - 60500 £ per year.
Everly Search Ltd is seeking an experienced ETL/BI Developer to design, develop and maintain data pipelines and BI reports for the bank's core systems.
The role requires strong SSIS, SSAS, SSRS skills, and extensive C#/.
NET development experience.
The candidate will work across SQL Server environments, support Share Point integration, and provide 2nd/3rd line support during end-of-day cycles while adhering to risk and regulatory requirements.
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Data Engineer (Core MI) – Pipelines & Regulatory Reporting employer: Everly Search Ltd
As an Information Technology Infrastructure Specialist at our esteemed bank, you will thrive in a dynamic work culture that prioritises innovation and security. We offer competitive benefits, including professional development opportunities and a supportive environment that encourages growth and collaboration. Located in a vibrant city, our team is dedicated to maintaining a robust information security posture while fostering a sense of community among employees.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer (Core MI) – Pipelines & Regulatory Reporting
✨Get Involved in Data Science Meetups
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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 Everly Search Ltd.
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We think you need these skills to ace Data Engineer (Core MI) – Pipelines & Regulatory Reporting
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 Everly Search Ltd, 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 Everly Search Ltd. 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 Everly Search Ltd
✨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 Everly Search Ltd!
✨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.
