At a Glance
- Tasks: Design and build platform capabilities for data engineering teams using Databricks.
- Company: Join Unisys, a leader in innovative tech solutions.
- Benefits: Enjoy remote work flexibility and competitive salary.
- Other info: Opportunity for occasional travel to London and career growth.
- Why this job: Make an impact by enhancing data operations with cutting-edge tools.
- Qualifications: Strong experience with Databricks, Terraform, and CI/CD frameworks.
The predicted salary is between 60000 - 80000 £ per year.
Unisys is seeking a Senior DataOps Engineer to design, build, and operate platform capabilities for data engineering teams. You will work primarily with Databricks, focusing on Infrastructure as Code, CI/CD, and platform reliability.
This role requires strong experience with Databricks and Terraform, as well as proven skills in building CI/CD frameworks. The position is primarily remote, with occasional travel to London required.
Senior DataOps Engineer – Azure Databricks Platform employer: Unisys
Unisys is an excellent employer that fosters a collaborative and innovative work culture, allowing Senior DataOps Engineers to thrive in their roles while working with cutting-edge technologies like Azure Databricks. With a strong emphasis on employee growth and development, team members benefit from ongoing training opportunities and the flexibility of remote work, complemented by occasional travel to London for team engagements. This unique blend of support and autonomy makes Unisys a rewarding place to build a meaningful career in data engineering.
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We think this is how you could land Senior DataOps Engineer – Azure Databricks Platform
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We think you need these skills to ace Senior DataOps Engineer – Azure Databricks Platform
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Unisys, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Unisys. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Unisys
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
