At a Glance
- Tasks: Develop and support data integration solutions using Ab Initio technologies.
- Company: Nationwide, a leading organisation with a focus on collaboration and innovation.
- Benefits: Flexible working options, hybrid model, and generous home working access.
- Other info: Regular office collaboration in Edinburgh, with excellent career growth opportunities.
- Why this job: Join a dynamic team and work on impactful data projects in a supportive environment.
- Qualifications: Hands-on experience with Ab Initio, enterprise data pipelines, and Kafka integrations.
The predicted salary is between 45000 - 55000 £ per year.
We are looking for an Ab Initio Developer with hands-on experience in developing and supporting data integration solutions using Ab Initio Continuous Flow Graphs and/or Batch Graphs.
The candidate should have experience working with enterprise data pipelines, databases and Kafka-based integrations.
We are happy to consider flexible working approaches to help you perform at your best.
At Nationwide we offer hybrid working wherever possible.
More rewarding relationships are supported through our hybrid approach, bringing colleagues together across our UK wide estate, whilst also supporting generous access to home working.
We value our time in the office to solve problems, to learn, and to feel connected.
For this role, you'll be based at your nearest regional office or hub.
We value time spent together to connect with colleagues for collaboration so there will be a regular requirement to attend our
Edinburgh site approximately once per quarter.
If you are based at an office location, you'll be expected to meet our hybrid working requirement of at least two days a week, or 40% of your working time if part-time, in the office.
If your application is successful, your hiring manager will provide further details on how this works.
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Ab Initio Developer employer: Nationwide
At Virgin Money, we pride ourselves on being an exceptional employer, offering a supportive and dynamic work environment in Cleckheaton. Our commitment to employee growth is evident through ongoing training and development opportunities, alongside a competitive benefits package that includes generous holiday allowances, health and wellness resources, and a strong pension plan. Join us to be part of a team that values customer care and community impact, where your contributions are recognised and celebrated.
StudySmarter Expert Advice🤫
We think this is how you could land Ab Initio Developer
✨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 Nationwide!
✨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 Ab Initio Developer at Nationwide.
✨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 Nationwide.
✨Apply Directly through Our Website
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We think you need these skills to ace Ab Initio Developer
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 Nationwide, 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 Nationwide. 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 Nationwide
✨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 Nationwide!
✨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.
