At a Glance
- Tasks: Design and develop data pipelines using Azure, SQL Server, and Snowflake.
- Company: Join a forward-thinking tech company in Central London.
- Benefits: Competitive pay, flexible working, and opportunities for skill development.
- Other info: Exciting 6-month contract with potential for career advancement.
- Why this job: Make a real impact by driving data automation and operational excellence.
- Qualifications: Experience in Data Engineering and proficiency in SQL, Python, or PowerShell.
The predicted salary is between 60000 - 80000 £ per year.
Contract Opportunity: Senior Data Engineer / DataOps Engineer
Location: Central London, UK
Contract Duration: 6 Months
Role Type: Contract
About the Role
Are you an experienced Data Engineer with a passion for DataOps, automation, and platform engineering? We are looking for a Senior Data Engineer to help build, automate, and support cutting-edge enterprise data platforms across Azure, SQL Server, and Snowflake ecosystems. In this pivotal 6-month contract, you will drive data onboarding, migration, and automation initiatives. Your work will directly contribute to operational excellence, scalable data solutions, and the empowerment of self-service capabilities across the business.
What You Will Be Doing
- Pipeline Engineering: Design and develop robust data ingestion, transformation, and migration solutions utilizing Azure Data Factory (ADF).
- ETL/ELT Development: Build and maintain seamless pipelines across SQL Server, Azure Data Lake Storage (ADLS), and Snowflake ecosystems.
- Automation Frameworks: Build reusable frameworks for data onboarding, schema deployment, and validation. Automate operational processes using SQL, Python, or PowerShell.
- Database Administration: Administer and manage SQL databases.
Senior Azure Data Engineer employer: Randstad Technologies
Randstad Technologies is an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, you will have access to continuous learning opportunities while working in a hybrid model that promotes work-life balance. The diverse locations, including Cardiff, provide a vibrant environment where your contributions are valued and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Azure Data Engineer
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Randstad Technologies before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Randstad Technologies.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Randstad Technologies.
We think you need these skills to ace Senior Azure Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Randstad Technologies, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Randstad Technologies, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Randstad Technologies’s attention and show the tangible impact of your work.
How to prepare for a job interview at Randstad Technologies
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Randstad Technologies.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Randstad Technologies.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Randstad Technologies.
