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- Tasks: Design and optimise data pipelines for Data Scientists and Traders using Python.
- Company: Leading technology firm with a focus on innovation.
- Benefits: Competitive day rate of up to £675 for a 6-month contract.
- Why this job: Join a dynamic team and work on impactful data projects in a hybrid role.
- Qualifications: Extensive data engineering experience and strong skills in Python and SQL.
- Other info: Great opportunity for professional growth in a collaborative environment.
The predicted salary is between 54000 - 81000 £ per year.
A leading technology firm is looking for a contract Data Engineer in Glasgow. This hybrid role involves designing and optimizing data pipelines for Data Scientists and Traders, focusing on Python development on Databricks and Streamlit.
The ideal candidate will have extensive data engineering experience and programming skills in Python and SQL, along with strong stakeholder management and communication skills.
This position offers a day rate of up to £675 for a duration of 6 months.
Data Engineer – Databricks & Azure Pipelines (Hybrid) in Glasgow employer: Harvey Nash Group
Contact Detail:
Harvey Nash Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – Databricks & Azure Pipelines (Hybrid) in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Databricks and Azure. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects using Python and SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your stakeholder management skills. Be ready to discuss how you've communicated complex data concepts to non-technical teams. It’s all about showing you can bridge the gap!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by hiring managers directly.
We think you need these skills to ace Data Engineer – Databricks & Azure Pipelines (Hybrid) in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and data engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this Data Engineer role. We love seeing enthusiasm and a clear understanding of what we do at StudySmarter.
Showcase Your Communication Skills: Since stakeholder management is key, make sure to mention any experiences where you’ve successfully communicated complex ideas. We value clear communication, so let us know how you’ve excelled in this area!
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 our team!
How to prepare for a job interview at Harvey Nash Group
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks and Azure Pipelines. Brush up on your Python and SQL skills, as you'll likely be asked to demonstrate your knowledge during the interview. Familiarise yourself with common data engineering challenges and how these tools can solve them.
✨Showcase Your Projects
Prepare to discuss specific projects where you've designed and optimised data pipelines. Be ready to explain your thought process, the technologies you used, and the impact your work had on the team or company. Real-world examples will make you stand out!
✨Communicate Clearly
Since strong stakeholder management is key, practice explaining complex technical concepts in simple terms. This will show that you can bridge the gap between technical and non-technical teams, which is crucial for this role.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and how the Data Engineer role fits into their goals. This not only shows your interest but also helps you gauge if the company aligns with your career aspirations.
