At a Glance
- Tasks: Design and build scalable data pipelines for AI and client products.
- Company: Join Visa, a leader in innovative financial technology.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on data quality and innovation.
- Why this job: Make an impact by shaping data solutions that drive business success.
- Qualifications: Experience with Hive, PySpark, SQL, Unix, and Airflow is essential.
The predicted salary is between 50000 - 50000 £ per year.
Visa is seeking a Data Engineer to design, deliver and evolve scalable data engineering capabilities underpinning Data Science, AI and client-facing products across Europe. You will translate business needs into data models, create robust data pipelines, and maintain databases, with proficiency in Hive, PySpark, SQL, Unix, and Airflow.
The role is hybrid in London, requiring 3 days in the office weekly, and involves collaboration with cross-functional teams to ensure data quality and timely delivery.
Data Engineer - Hybrid London (Airflow, Spark, GenAI) employer: Tink
Visa in Basingstoke is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from comprehensive growth opportunities, including training in cutting-edge technologies like Kubernetes and automation, while enjoying a supportive environment that values work-life balance with flexible office arrangements. Joining Visa means being part of a global leader in payment technology, where your contributions directly impact service stability and customer satisfaction.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Hybrid London (Airflow, Spark, GenAI)
✨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 Tink!
✨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 - Hybrid London (Airflow, Spark, GenAI) at Tink.
✨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 Tink.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer - Hybrid London (Airflow, Spark, GenAI) at Tink, 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 - Hybrid London (Airflow, Spark, GenAI)
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 Tink, 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 Tink. 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 Tink
✨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 Tink!
✨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.
