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- Tasks: Design and implement data ingestion and ETL pipelines for real-time data solutions.
- Company: Leading data platform company based in Edinburgh with a focus on innovation.
- Benefits: Competitive salary, flexible working environment, and opportunities for professional growth.
- Other info: Collaborative culture that values insightful data-driven solutions.
- Why this job: Join a dynamic team and make an impact with your data engineering skills.
- Qualifications: Strong SQL and Python skills with 5+ years of experience in scalable data platforms.
The predicted salary is between 60000 - 80000 £ per year.
A leading data platform company in Edinburgh seeks a Senior Data Engineer to design and implement data ingestion and ETL pipelines. The role requires strong SQL and Python skills, along with 5+ years of experience in delivering scalable data platforms.
Responsibilities include:
- Optimizing data workflows
- Collaborating with teams to deliver insightful data-driven solutions
The company offers a competitive salary and a flexible working environment.
Senior Data Engineer - Real‐Time Data Platform & Impact in Edinburgh employer: Wrisk
Contact Detail:
Wrisk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Real‐Time Data Platform & Impact in Edinburgh
✨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 hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving SQL and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing ETL pipelines or optimising data workflows – it’ll show you know your stuff!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way.
We think you need these skills to ace Senior Data Engineer - Real‐Time Data Platform & Impact in Edinburgh
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you've used these tools in real-world scenarios, especially in building scalable data platforms.
Experience Matters: Don’t forget to mention your 5+ years of experience! We’re looking for someone who has a solid track record in delivering data solutions, so share specific examples of your past projects.
Collaboration is Key: Since the role involves working with various teams, let us know about your collaborative experiences. We love to see how you’ve worked with others to optimise data workflows and deliver impactful 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 from us!
How to prepare for a job interview at Wrisk
✨Know Your SQL and Python Inside Out
Make sure you brush up on your SQL and Python skills before the interview. Be prepared to discuss specific projects where you've used these languages to design and implement data ingestion or ETL pipelines. Practising coding challenges related to these technologies can also give you a confidence boost.
✨Showcase Your Experience with Scalable Data Platforms
With over 5 years of experience, you should have plenty of examples to share. Think about the challenges you faced while delivering scalable data solutions and how you overcame them. This will demonstrate your problem-solving skills and ability to optimise data workflows.
✨Collaborate and Communicate
Since the role involves working with various teams, be ready to discuss how you've collaborated in the past. Share examples of how you’ve communicated complex data concepts to non-technical stakeholders. This shows that you can bridge the gap between technical and non-technical team members.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data platform and their approach to real-time data solutions. This not only shows your interest in the role but also gives you a chance to assess if the company is the right fit for you. It’s a two-way street!