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- Tasks: Design and maintain data infrastructure while collaborating with Data Scientists.
- Company: Leading software company in the construction industry.
- Benefits: Hybrid working arrangements and a strong focus on employee well-being.
- Why this job: Join a dynamic team and make an impact in data engineering.
- Qualifications: Expertise in ETL, Python, SQL, and experience with PowerBI.
The predicted salary is between 36000 - 60000 £ per year.
A leading software company in construction is seeking a Senior Data Engineer to design, develop, and maintain data infrastructure. You will collaborate with Data Scientists to ensure data integrity and build data pipelines. The ideal candidate has expertise in ETL processes, strong skills in Python and SQL, and experience with PowerBI. This role offers hybrid working arrangements and a commitment to employee well-being.
Senior Data Engineer - Build Scalable Pipelines & BI (Remote) employer: Causeway
Contact Detail:
Causeway Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Build Scalable Pipelines & BI (Remote)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data engineering. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving ETL processes, Python, and SQL. 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. Practice explaining your past projects and how you ensured data integrity. Confidence is key, so let your passion for data shine through!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. It shows initiative and gives us a chance to see your enthusiasm firsthand.
We think you need these skills to ace Senior Data Engineer - Build Scalable Pipelines & BI (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL processes, Python, and SQL. We want to see how your skills align with the role, 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 team. Let us know what excites you about working with data in the construction industry.
Showcase Your Collaboration Skills: Since you'll be working closely with Data Scientists, highlight any past experiences where you've collaborated on projects. We love seeing teamwork in action, so share those stories that demonstrate your ability to work well with others!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Causeway
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've implemented ETL processes or built data pipelines. This will show that you not only understand the theory but have practical experience too.
✨Showcase Your Collaboration Skills
Since you'll be working closely with Data Scientists, prepare examples of how you've successfully collaborated in the past. Think about times when you ensured data integrity or solved problems together. This will highlight your teamwork abilities and fit for the role.
✨Familiarise Yourself with PowerBI
If you have experience with PowerBI, be prepared to discuss it in detail. If not, take some time to learn the basics and understand how it integrates with data pipelines. Showing a willingness to learn can impress the interviewers.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data infrastructure and their approach to employee well-being. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
