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- Tasks: Design and optimise data pipelines using Microsoft Fabric for fraud prevention.
- Company: Leading organisation in fraud prevention with a focus on inclusion.
- Benefits: Remote work flexibility and a supportive workplace culture.
- Why this job: Make a real impact in data management while working with innovative AI tools.
- Qualifications: Proficiency in SQL, data modelling, and ETL processes required.
- Other info: Join a dynamic team dedicated to employee wellbeing and career growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading fraud prevention organization is seeking a Senior Data Engineer to design and optimize data pipelines using Microsoft Fabric. The role demands proficiency in SQL, data modeling, and ETL processes, ensuring efficiency and reliability in data management. The chosen candidate will work closely with cross-functional teams, ensuring high-quality and accessible data solutions.
Benefits include remote work flexibility and a supportive workplace culture focused on inclusion and employee wellbeing.
Senior Data Engineer - Remote Data Pipelines & AI Tools employer: Cifas
Contact Detail:
Cifas Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Remote Data Pipelines & AI Tools
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have a lead or can refer you to a position that’s not even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, data modeling, and ETL processes. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data pipelines and optimising data solutions, as this will demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, including the Senior Data Engineer position. It’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Data Engineer - Remote Data Pipelines & AI Tools
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, data modeling, and ETL processes. We want to see how your skills align with the role of a Senior Data Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our mission in fraud prevention. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've designed or optimised data pipelines. We’re looking for candidates who can demonstrate their ability to tackle challenges and deliver high-quality data solutions.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Cifas
✨Know Your Tech Inside Out
Make sure you brush up on your SQL skills and understand data modelling concepts thoroughly. Be ready to discuss your experience with ETL processes and how you've optimised data pipelines in the past. This will show that you're not just familiar with the tools, but that you can apply them effectively.
✨Showcase Your Collaboration Skills
Since the role involves working closely with cross-functional teams, be prepared to share examples of how you've successfully collaborated with others. Highlight any projects where you’ve worked with different departments to deliver high-quality data solutions. This will demonstrate your ability to communicate and work well with diverse teams.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data management. Practice articulating your thought process clearly and logically. This will help interviewers see how you approach challenges and ensure efficiency and reliability in your work.
✨Emphasise Your Adaptability
With the focus on remote work and a supportive culture, it’s important to convey your adaptability and willingness to embrace new tools and technologies. Share experiences where you’ve quickly learned new systems or adjusted to changes in project requirements, showing that you can thrive in a dynamic environment.
