At a Glance
- Tasks: Manage SQL Server environments and automate data processes using cutting-edge tools.
- Company: Market-leading organisation with a focus on innovation and modernisation.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential.
- Why this job: Join a high-performing team and shape the future of data platforms.
- Qualifications: Strong SQL Server experience and skills in automation and cloud technologies.
The predicted salary is between 85000 - 85000 £ per year.
City of London (hybrid) £75,000 - £85,000 per annum
On behalf of a market leading organisation, I am seeking a SQL Server Automation Engineer. You will hold strong SQL Server experience to join a high-performing team managing a hybrid data platform including SQL Server, Azure SQL, Cosmos DB, Azure Data Factory, and Power BI. You'll still work closely with databases day to day, but you'll also get involved in automation, cloud platform work, and data pipelines, helping shape how the organisation modernises its data platform over time. It's a good fit for someone who wants to move beyond keeping the lights on and into building and improving systems at scale. The organisation is pleased to offer this on a hybrid working basis with 3 days per week in their City of London offices, therefore you must be within commutable reach of London.
Responsibilities:
- Manage and support SQL Server environments (including Always On, upgrades, performance tuning, HA/DR)
- Improve how data moves through the platform using Azure Data Factory and related tools
- Build automation and CI/CD for database and platform changes using PowerShell, Terraform, and Azure DevOps
- Improve monitoring, reliability, and operational efficiency across the data platform
- Support cloud adoption and modernisation efforts
SQL Server Automation Engineer employer: Spencer Rose Ltd
Join a market-leading organisation that values innovation and employee growth, offering a dynamic work culture where your contributions directly impact the evolution of their data platform. With a competitive salary and hybrid working model based in the vibrant City of London, you'll have the opportunity to collaborate with a high-performing team while enjoying a supportive environment that encourages professional development and the exploration of cutting-edge technologies.
StudySmarter Expert Advice🤫
We think this is how you could land SQL Server Automation Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Spencer Rose Ltd!
✨Show Off Your Projects
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✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Spencer Rose Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like SQL Server Automation Engineer at Spencer Rose Ltd, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace SQL Server Automation Engineer
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Spencer Rose Ltd, 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 Spencer Rose Ltd. 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 Spencer Rose Ltd
✨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!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Spencer Rose Ltd!
✨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.
