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- Tasks: Analyse and manage data using Python and enterprise tools to support business needs.
- Company: Join PURVIEW, a leading tech firm in Glasgow with a focus on innovation.
- Benefits: Contract role with competitive pay and opportunities for professional growth.
- Why this job: Be part of exciting projects in finance and banking while enhancing your data skills.
- Qualifications: Experience in data analysis, Python, and familiarity with Master Data Management tools.
- Other info: Work in a dynamic environment with a mix of remote and onsite collaboration.
The predicted salary is between 36000 - 60000 £ 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 required for this position.
Data Engineer in Glasgow employer: PURVIEW
Contact Detail:
PURVIEW Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for those interviews! Research the company and practice common interview questions. We want you to feel confident and ready to showcase your skills.
✨Tip Number 3
Show off your projects! If you've worked on any data-related projects, make sure to highlight them during interviews. Real-world examples can really set you apart from the crowd.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer in Glasgow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, data cleansing, and any relevant tools you've used. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background in finance or banking makes you a great fit for us. Keep it concise but impactful!
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's data analysis or using Master Data Management tools, we love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at PURVIEW
✨Know Your Data Tools
Make sure you brush up on your knowledge of data tools like Python and PySpark. Be ready to discuss how you've used these in past projects, especially in finance or banking contexts. This will show that you’re not just familiar with the tools, but that you can apply them effectively.
✨Master Data Management Insights
Familiarise yourself with Master Data Management (MDM) tools and processes. Be prepared to explain how you've validated, matched, and merged data sources in previous roles. Sharing specific examples will demonstrate your hands-on experience and understanding of MDM trends.
✨SQL Skills on Display
Since SQL is crucial for this role, practice writing queries and analysing data. You might be asked to solve a problem on the spot, so being able to articulate your thought process while working through SQL challenges will impress your interviewers.
✨Understand the Business Context
Research the company and its operations within the banking and financial services sector. Understanding their business logic and how data analysis supports their goals will help you tailor your responses and show that you're genuinely interested in contributing to their success.
