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- Tasks: Manage and maintain data pipelines while ensuring top-notch data quality.
- Company: Fast-growing data solutions startup in Greater London.
- Benefits: Competitive compensation and a vibrant office environment.
- Why this job: Build your technical foundations in a dynamic and collaborative setting.
- Qualifications: Familiarity with Python and SQL, plus a passion for data.
- Other info: Perfect for early career professionals looking to grow.
The predicted salary is between 28800 - 43200 £ per year.
A fast-growing data solutions startup in Greater London is seeking a Data Operations Engineer to manage and maintain data pipelines for client implementations. This role is perfect for someone early in their career looking to build technical foundations and work in a dynamic environment.
Responsibilities include:
- Ensuring data quality
- Collaborating across teams
- Using Python and SQL for data tasks
Competitive compensation and a vibrant office await the right candidate.
Data Ops Engineer - Scale Pipelines & Data Quality employer: STRATOS Technologies
Contact Detail:
STRATOS Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Ops Engineer - Scale Pipelines & Data Quality
✨Tip Number 1
Network like a pro! Reach out to people in the data field on LinkedIn or at local meetups. 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 projects using 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 operations questions. Practice explaining your thought process when tackling data quality issues or pipeline management scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals ready to dive into the world of data. Your dream job could be just a click away!
We think you need these skills to ace Data Ops Engineer - Scale Pipelines & Data Quality
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that match the Data Ops Engineer role. We want to see how your background aligns with managing data pipelines and ensuring data quality.
Show Off Your Technical Skills: Don’t forget to mention your proficiency in Python and SQL! We’re looking for someone who can dive into data tasks, so showcase any projects or experiences where you’ve used these tools.
Keep It Clear and Concise: When writing your application, clarity is key. We appreciate straightforward language that gets to the point. Avoid jargon unless it’s relevant to the role, and make sure your passion for data shines through!
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 STRATOS Technologies
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects or coursework, as this will show your technical foundations and readiness for the role.
✨Understand Data Quality
Familiarise yourself with data quality concepts and best practices. Be prepared to talk about how you would ensure data integrity and accuracy in pipelines, as this is a key responsibility of the role.
✨Collaboration is Key
Since the job involves working across teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you can contribute to a dynamic environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data operations and future projects. This shows your genuine interest in the role and helps you understand if it's the right fit for you.
