At a Glance
- Tasks: Ensure data quality and validate data pipelines in a dynamic tech environment.
- Company: Join PNC, a leading financial services company with a supportive culture.
- Benefits: Competitive salary, inclusive workplace, and opportunities for professional growth.
- Why this job: Be part of a Big Data transformation and make a real impact on data quality.
- Qualifications: Experience in data quality assurance and familiarity with Big Data technologies.
- Other info: Great opportunity for career advancement in a collaborative team.
The predicted salary is between 36000 - 60000 £ per year.
At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success.
This position will focus on PNC's Big Data transformation within the Asset Management Group, with an emphasis on data quality assurance, validation, and testing of data pipelines and analytical assets.
- Collaborate with data engineers, analysts, and business users to define data quality checks, metrics and SLAs.
- Develop, maintain, and execute data quality tests and validation rules using Great Expectations and similar tools.
- Create QA frameworks that support batch data validation.
- Troubleshoot data issues, identify root causes, and drive resolution in collaboration with engineering teams.
- Document test cases and test results to provide visibility into data health and quality trends.
PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.
Participates in the quality assurance process; follows procedures to ensure that all software products and components meet company standards and client requirements. Performs code inspections, walk-throughs, design, and test-readiness reviews. Reviews software and project documentation for completeness and adherence to standards. Works on problem resolutions and reports progress to management. Plans, executes, and summarizes reliability and validation test cases; interfaces with developers on test results. Assists in audits and reviews. Writes and executes test plans and cases for testing of software.
PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:
- Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
- Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
- Preferred Skills: Analytical Thinking, Controls Testing, Corporate Governance, Database Testing, Data Quality, Quality Assurance (QA), Quality Support, Software Testing, Test Case Development, Troubleshooting, Usability Testing
- Competencies: Accuracy and Attention to Detail, Analytical Thinking, Influencing, Process Management, Products and Services, Software Development Life Cycle, Software Quality Assurance And Testing, Technical Documentation Management
- Work Experience: Roles at this level typically require a university/college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
- Education: Bachelors
- Certifications: No Required Certification(s)
- Licenses: No Required License(s)
Base Salary: $45,000.00 – $97,750.00. Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible.
Data Quality Assurance Specialist in Birmingham employer: PNC
Contact Detail:
PNC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Assurance Specialist in Birmingham
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Quality Assurance Specialist role.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills and understanding PNC's Big Data transformation. We recommend practising common interview questions related to data quality assurance and being ready to discuss your experience with tools like Great Expectations.
✨Tip Number 3
Don’t forget to follow up after your interviews! A quick thank-you email can go a long way in showing your enthusiasm for the role. We suggest mentioning something specific from your conversation to make it personal.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who want to contribute to our inclusive workplace culture.
We think you need these skills to ace Data Quality Assurance Specialist in Birmingham
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Quality Assurance Specialist role. Highlight your experience with data quality engineering and any Big Data technologies you've worked with. We want to see how your skills align with what PNC is 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 quality assurance and how you can contribute to PNC's mission. We love seeing genuine enthusiasm, so let your personality come through!
Showcase Relevant Experience: When detailing your work experience, focus on specific projects where you've implemented data quality checks or used tools like Great Expectations. We want to see concrete examples of your problem-solving skills and technical expertise!
Apply Through Our Website: Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us that you're serious about joining the team at PNC. We can't wait to see your application!
How to prepare for a job interview at PNC
✨Know Your Data Quality Tools
Make sure you brush up on your knowledge of data quality assurance tools like Great Expectations. Be ready to discuss how you've used these tools in past roles, especially in relation to Big Data technologies like Hadoop and Spark.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data engineers and analysts, prepare examples that highlight your teamwork. Think about times when you successfully collaborated to define data quality checks or resolve data issues.
✨Prepare for Technical Questions
Expect technical questions related to data validation and testing. Review common scenarios you might face in the role, such as troubleshooting data issues or creating QA frameworks, and be ready to explain your thought process.
✨Demonstrate Attention to Detail
As a Data Quality Assurance Specialist, attention to detail is crucial. Prepare to discuss how you ensure accuracy in your work, perhaps by sharing specific examples of how you've documented test cases or tracked data quality trends.