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- Tasks: Transform legacy data and design ETL pipelines for a cutting-edge tech platform.
- Company: Creative tech platform based in Greater London with a focus on innovation.
- Benefits: High ownership, autonomy, and engagement in technically challenging projects.
- Why this job: Shape the future of data management while working with advanced technologies.
- Qualifications: Strong expertise in Python, Azure data services, and Terraform required.
- Other info: Join a dynamic team and make a real impact in the tech industry.
The predicted salary is between 43200 - 72000 £ per year.
A creative tech platform in Greater London is seeking a Data Architect to manage their data supply chain. This role involves transforming legacy data into structured assets, designing ETL pipelines, and ensuring data quality.
Ideal candidates should possess strong expertise in Python, Azure data services, and Terraform. This position offers the opportunity for high ownership, autonomy, and engagement with technically challenging projects that shape the future of the platform.
Data Architect: Clean Pipelines & Scalable Platform employer: Source
Contact Detail:
Source Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect: Clean Pipelines & Scalable Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Azure, and Terraform. 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 architecture questions and scenarios. Practice explaining your thought process when designing ETL pipelines or transforming legacy data – it’ll show your expertise and problem-solving skills.
✨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 our hiring team directly.
We think you need these skills to ace Data Architect: Clean Pipelines & Scalable Platform
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in Python, Azure data services, and Terraform. We want to see how your skills can help us transform our data supply chain!
Tailor Your Application: Don’t just send a generic application! Customise your CV and cover letter to reflect the specific requirements of the Data Architect role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Creative: This is a creative tech platform, so don’t be afraid to let your personality shine through in your application. Share any innovative ideas you have about managing data or designing ETL pipelines!
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’re considered for this exciting opportunity!
How to prepare for a job interview at Source
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data supply chains and ETL processes. Brush up on your knowledge of transforming legacy data into structured assets, as this will likely come up during the interview.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, Azure data services, and Terraform. Bring examples of past projects where you’ve successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges or case studies during the interview. Practice articulating your thought process when tackling complex data issues, as this will highlight your analytical skills and creativity.
✨Emphasise Ownership and Autonomy
Since the role offers high ownership, be ready to share experiences where you took initiative on projects. Discuss how you managed tasks independently and contributed to the success of your team, showcasing your ability to thrive in an autonomous environment.
