At a Glance
- Tasks: Validate, match, and merge master data sources using Python and pyspark.
- Company: PURVIEW is a leading IT services firm based in Glasgow, Scotland.
- Benefits: Contract position with flexible onsite requirements (3 days a week).
- Other info: This role is contract-based and inside IR35 regulations.
- Why this job: Join a dynamic team in the finance and banking sector.
- Qualifications: Experience with Master Data Management tools and SQL is essential.
The predicted salary is between 40000 - 50000 £ per year.
Our company is searching for experienced candidates for the position of technical data analyst. Please review the list of responsibilities and qualifications. While this is our ideal list, we will consider candidates that do not necessarily have all of the qualifications, but have sufficient experience and talent.
Responsibilities for technical data analyst:
- Primary skills: Data, Python, pyspark
- Experience in Finance or Banking
- Experience working with enterprise Master Data Management tools to validate, match, and merge various master data sources into a common view
- Experience with data cleansing and validation processes and technologies
- Produce all technical deliverables to be consumed by modelers, developers, and design documents for projects
- Query and profile the data for data quality and ensure it provides what is required and perform data analysis to support the Business
- Data Analysis & Design - Requirement Analysis, functional and technical specification development for projects
- Provide Software Design, Business Requirement Document
- Proficient in understanding cobol/mainframe programs, proc, subroutines, jcl and libraries and converting them into Technical Specification and mapping document
- Proficient in Writing SQLs and analyzing data for analysis/profiling
- Understands Hadoop Architecture and Big Data Tools and Technologies especially Java, Scala or Python to write efficient reverse engineering mapping and specification documents
Qualifications for technical data analyst:
- Interface with reference data end-users within company units, business aligned IT groups and Data Operations
- Draft requirement specifications based on end-user needs
- Draft and document required changes to reference data applications PDP, RDM and QDB
- Extract business logic from code
- Structured documentation of user requirements
Candidates requiring visa sponsorship will not be considered for this position.
Data Engineer employer: PURVIEW
PURVIEW offers a competitive contract role in Glasgow, providing opportunities to work with advanced data technologies. The team focuses on innovative solutions in IT services and consulting, particularly within the banking sector.
StudySmarter Expert Advice🤫
We think this is how you could land 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 PURVIEW 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 PURVIEW.
✨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 PURVIEW.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at PURVIEW, 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 PURVIEW, 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 PURVIEW’s attention and show the tangible impact of your work.
How to prepare for a job interview at PURVIEW
✨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 PURVIEW.
✨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 PURVIEW.
✨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 PURVIEW.
