At a Glance
- Tasks: Write complex SQL queries for data extraction and migration to Workday Financials.
- Company: Join a dynamic team at Real Staffing, a leader in tech recruitment.
- Benefits: Remote work, flexible contract duration, and competitive pay.
- Other info: Contract role lasting 3-6 months with great career opportunities.
- Why this job: Make an impact by transforming financial data with your SQL expertise.
- Qualifications: Expert-level SQL skills and experience with financial systems preferred.
We are looking for a hands-on Data Migration Developer with expert-level SQL skills to support data extraction and migration to Workday Financials. The role will focus on writing complex SQL queries to interrogate, validate, and transform data as part of data migration and integration initiatives.
Experience working with financial systems is strongly preferred, with exposure to Workday financials. While experience across multiple systems is ideal, expert SQL capability is essential, as the role cannot be performed without it.
Contract duration: 3-6 months
Location: remote
IR35: Outside IR35
Workday Data Migration Developer- CONTRACT in York employer: Real
At Real Staffing, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a remote employer, we offer flexible working arrangements, competitive compensation, and opportunities for professional development, ensuring that our Data Migration Developers can grow their skills while contributing to impactful projects in the financial sector. Join us to be part of a supportive team that values expertise and innovation in data migration.
StudySmarter Expert Advice🤫
We think this is how you could land Workday Data Migration Developer- CONTRACT in York
✨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 Real 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 Real.
✨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 Real.
We think you need these skills to ace Workday Data Migration Developer- CONTRACT in York
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Real, 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 Real, 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 Real’s attention and show the tangible impact of your work.
How to prepare for a job interview at Real
✨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 Real.
✨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 Real.
✨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 Real.
