Senior Data Engineer - Real‐Time Data Platform & Impact in Edinburgh
Senior Data Engineer - Real‐Time Data Platform & Impact

Senior Data Engineer - Real‐Time Data Platform & Impact in Edinburgh

Edinburgh Full-Time 70000 - 80000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design scalable data solutions and implement data pipelines with cross-functional teams.
  • Company: Data-centric tech company in the UK with a remote-first culture.
  • Benefits: Generous holiday allowance, professional development, and competitive salary between £70-£80k.
  • Other info: Great opportunities for career growth in a supportive environment.
  • Why this job: Join a dynamic team and make an impact on real-time data solutions.
  • Qualifications: Over 5 years in data engineering with strong SQL and Python skills.

The predicted salary is between 70000 - 80000 £ per year.

A data-centric technology company in the UK is seeking a Senior Data Engineer to design scalable data solutions. You will work with cross-functional teams to implement data pipelines and ensure data quality across the systems.

Ideal candidates have over 5 years in data engineering and strong skills in SQL and Python.

Enjoy a remote-first culture, generous holiday allowance, and professional development opportunities with salaries between £70-£80k.

Senior Data Engineer - Real‐Time Data Platform & Impact in Edinburgh employer: Wrisk Limited

Join a forward-thinking data-centric technology company in the UK, where you will thrive in a remote-first culture that prioritises work-life balance and employee well-being. With a generous holiday allowance and ample opportunities for professional development, this role as a Senior Data Engineer offers not just a competitive salary but also a chance to grow your skills in a collaborative environment focused on innovation and impact.
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Contact Detail:

Wrisk Limited 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 hunt for a Senior Data Engineer role. You never know who might have the inside scoop on job openings or can refer you directly.

Tip Number 2

Show off your skills! Create a portfolio showcasing your best data 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 competition.

Tip Number 3

Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing scalable data solutions, as this is key for a Senior Data Engineer role.

Tip Number 4

Don't forget to apply through our website! We love seeing applications directly from candidates who are passionate about joining our team. Plus, it gives you a better chance to stand out in the hiring process.

We think you need these skills to ace Senior Data Engineer - Real‐Time Data Platform & Impact in Edinburgh

Data Engineering
SQL
Python
Data Pipeline Implementation
Data Quality Assurance
Cross-Functional Collaboration
Scalable Data Solutions
Remote Work Adaptability

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back on the details!

Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention specific projects or achievements that relate to designing scalable data solutions and working with cross-functional teams. It’ll make you stand out!

Keep It Clear and Concise: We appreciate clarity! Make your application easy to read by using bullet points and clear headings. This helps us quickly see why you’re a great fit for the Senior Data Engineer position.

Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, we love seeing applications come directly from our site!

How to prepare for a job interview at Wrisk Limited

Know Your Data Engineering Fundamentals

Brush up on your data engineering principles, especially around scalable data solutions. Be ready to discuss your experience with SQL and Python, as these are crucial for the role. Prepare examples of how you've designed and implemented data pipelines in previous positions.

Showcase Your Problem-Solving Skills

Expect technical questions that assess your ability to tackle real-time data challenges. Think of specific scenarios where you had to ensure data quality or optimise a data pipeline. Use the STAR method (Situation, Task, Action, Result) to structure your answers.

Familiarise Yourself with Cross-Functional Collaboration

Since you'll be working with various teams, be prepared to discuss how you've successfully collaborated in the past. Highlight any experiences where you worked alongside product managers, analysts, or other engineers to deliver a project.

Embrace the Remote-First Culture

As this company values a remote-first culture, be ready to talk about your experience working remotely. Share how you stay organised, communicate effectively, and maintain productivity when working from home. This will show that you're a good fit for their work environment.

Senior Data Engineer - Real‐Time Data Platform & Impact in Edinburgh
Wrisk Limited
Location: Edinburgh

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