At a Glance
- Tasks: Design and develop data models for AWS Cloud Data Warehouse solutions.
- Company: Leading tech firm specialising in cloud data solutions.
- Benefits: Attractive salary, flexible working options, and continuous learning opportunities.
- Other info: Collaborative Agile environment with global exposure and career advancement.
- Why this job: Join a dynamic team and shape the future of data analytics in banking.
- Qualifications: 8+ years as a Data Modeler with strong banking domain experience.
The predicted salary is between 60000 - 80000 £ per year.
Minimum 8+ years of experience working as Data Modeler for AWS Cloud Data warehouse.
- Key Skills Required:
- Must have Data Modeling Experience on Data Warehouse & Analytics solution.
- ER Studio Cloud experience preferred.
- Strong Data Modeling Experience in Banking Domain.
- Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka.
- Work in an Agile environment and participate in scrum daily standups, sprint planning reviews and retrospectives.
- Understand project requirements and translate them into technical solutions which meet the project quality standards.
- Ability to work in a team in diverse/multiple stakeholder environment and collaborate with upstream/downstream functional teams to identify, troubleshoot and resolve data issues.
- Strong problem solving and good analytical skills.
- Excellent verbal and written communication skills.
- Experience and desire to work in a Global delivery environment.
- Stay up to date with new technologies and industry trends in Development.
Data Modeler employer: Natobotics
N Consulting Ltd is an exceptional employer that values innovation and collaboration, offering a dynamic work culture where experienced professionals can thrive. With a focus on employee growth, you will have the opportunity to work on cutting-edge projects in a remote setting, allowing for flexibility while contributing to impactful data solutions. Join us to be part of a team that prioritises quality, compliance, and the advancement of your career in the exciting field of data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeler
✨Tip Number 1
Network like a pro! Reach out to your connections in the banking and cloud tech sectors. We all know that sometimes it’s not just what you know, but who you know that can land you that Data Modeler role.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data modelling projects, especially those involving AWS and analytics solutions. We want to see how you’ve tackled real-world problems and delivered results.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for Data Modelers, especially around Agile methodologies and cloud technologies like Snowflake and Redshift. We can help you refine your answers to impress potential employers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Modelers like you. Let’s get your application in front of the right people!
We think you need these skills to ace Data Modeler
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your 8+ years of experience as a Data Modeler, especially in AWS Cloud Data Warehousing. We want to see your relevant skills and experiences that match the job description, so don’t be shy about showcasing your expertise!
Showcase Your Skills:When writing your application, emphasise your data modelling experience in the banking domain and any exposure to cloud technologies like Snowflake or Redshift. We love seeing how you can translate project requirements into technical solutions, so give us some examples!
Be Agile:Since we work in an Agile environment, mention any experience you have with scrum practices. Talk about your participation in daily standups or sprint planning reviews, as this shows us you’re ready to hit the ground running with our team.
Communicate Clearly:Strong verbal and written communication skills are key for us. Make sure your application is clear and concise, and don’t hesitate to demonstrate your problem-solving abilities. We want to know how you tackle challenges and collaborate with diverse teams!
How to prepare for a job interview at Natobotics
✨Know Your Data Modelling Inside Out
Make sure you brush up on your data modelling skills, especially in the context of AWS Cloud Data Warehousing. Be ready to discuss your past projects and how you've applied your expertise in data modelling, particularly in the banking domain.
✨Familiarise Yourself with Relevant Technologies
Since the role requires knowledge of Snowflake, Redshift, Apache Flink, and Apache Kafka, take some time to understand these technologies. You might be asked about how you've used them in previous roles or how they can be integrated into a data modelling project.
✨Embrace Agile Methodologies
As the job involves working in an Agile environment, be prepared to talk about your experience with scrum practices. Share examples of how you've participated in daily standups, sprint planning, and retrospectives to show that you're a team player who thrives in collaborative settings.
✨Communicate Clearly and Effectively
Strong verbal and written communication skills are crucial for this role. Practice articulating your thoughts clearly, especially when discussing complex technical solutions. Being able to explain your ideas to diverse stakeholders will set you apart from other candidates.
