Data Engineer (Informatica/Teradata/Datawarehouse)
Data Engineer (Informatica/Teradata/Datawarehouse)

Data Engineer (Informatica/Teradata/Datawarehouse)

Birmingham Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and maintain data pipelines, collaborate with teams, and optimise database performance.
  • Company: Join PNC, a leader in delivering exceptional customer experiences and fostering an inclusive culture.
  • Benefits: Enjoy flexible work options, comprehensive health coverage, generous paid time off, and educational assistance.
  • Why this job: Be part of a dynamic team that values innovation and offers opportunities for personal and professional growth.
  • Qualifications: 3+ years of experience in data engineering, SQL, and ETL processes; degree preferred but not mandatory.
  • Other info: This role is based in multiple locations with potential remote work options.

The predicted salary is between 36000 - 60000 ÂŁ 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. As a Data Engineer within PNC’s Technology organization, you will be based in Pittsburgh, PA; Cleveland, OH; Birmingham, AL or Dallas, TX. The position is primarily based in a PNC location. Responsibilities require time in the office or in the field on a regular basis. Some responsibilities may be performed remotely, at the manager’s discretion.

Key responsibilities:

  • Design, develop and maintain scalable and efficient data pipelines and ETL processes.
  • Collaborate with analysts and stakeholders to gather requirements and implement data solutions that meet business needs.
  • Propose and design data solutions to address complex business needs. Prepare technical and procedural documentation required.
  • Participate in code reviews and testing.
  • Apply modern principles, methodologies, and tools to advance business initiatives and capabilities.
  • Develop and manage data integrations between various systems, ensuring seamless data flow and consistency.
  • Optimize database and query performance to support analytical workloads.
  • Monitor and troubleshoot data workflows to ensure data quality and integrity at all times.
  • Stay current with industry trends, technologies and best practices to continuously improve our data ecosystem.

Skills:

  • Experience with data pipelines and ETL - Informatica.
  • Experience in SQL and database management systems.
  • Knowledge of data modelling, warehousing concepts, and ETL processes.
  • Experience with big data technologies and frameworks such as Hadoop, Hive, Spark. Programming experience in Python or Scala.
  • Demonstrated analytical and problem-solving skills.
  • Familiarity with cloud platforms (e.g. Azure, AWS) and their data related services.
  • Proactive and detail-oriented professional with strong sense of ownership.
  • Creative problem solver who can tackle complex data challenges.
  • Mentor who can guide junior engineers and contribute to team growth.
  • Excellent problem solving, communication and collaboration skills.
  • Ability to work in an agile environment. Experience with effectively prioritising and executing tasks in a high-pressure environment successfully.
  • Experience with code deployment tools such as Udeploy, Artifactory, GitHub.

Job Description:

Develops, supports and implements data services for multiple applications to meet business objectives and user requirements. Uses technical knowledge and industry experience to design, build and maintain technology solutions. Works closely with users, developers, operations and business partners to define data service requirements and the data preparation process development. Designs and builds data service infrastructure on multiple data platforms, according to key business processes and the overall workflow. Develops and implements data solutions for multiple applications to ensure its scalability, availability and maintainability. Implements data migration and transformation activities/processes to ensure the accuracy and security of data solutions.

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 customised 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.

Qualifications:

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, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine Learning.

Competencies: Application Delivery Process, Big Data Management and Analytics, Business Intelligence, Data Analysis - Software, Data Architecture, Database Structures, Effective Communications, Problem Solving, Software Development Life Cycle.

Work Experience: Roles at this level typically require a university/college degree, with 3+ years of relevant/direct industry experience. Certifications are often desired. 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).

Pay Transparency: Base Salary: $55,000.00 – $152,375.00. Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.

Application Window: Generally, this opening is expected to be posted for two business days from 03/17/2025, although it may be longer with business discretion.

Benefits: PNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.

In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 8 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visit Your PNC Total Rewards.

Disability Accommodations Statement: If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include “accommodation request” in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO): PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents: Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.

Data Engineer (Informatica/Teradata/Datawarehouse) employer: PNC Financial Services Group, Inc.

At PNC, we pride ourselves on being an exceptional employer, offering a collaborative and inclusive work culture that values each employee's contributions. With comprehensive benefits, including generous paid time off, educational assistance, and a robust wellness programme, we are committed to supporting your professional growth and personal well-being. Join us in one of our vibrant locations, where you can thrive as a Data Engineer while making a meaningful impact in the financial services industry.
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Contact Detail:

PNC Financial Services Group, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer (Informatica/Teradata/Datawarehouse)

✨Tip Number 1

Familiarise yourself with the specific technologies mentioned in the job description, such as Informatica, Teradata, and data warehousing concepts. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.

✨Tip Number 2

Network with current or former employees of PNC, especially those in similar roles. They can provide valuable insights into the company culture and the specific expectations for the Data Engineer position, which can help you tailor your approach during interviews.

✨Tip Number 3

Prepare to discuss your problem-solving skills and how you've tackled complex data challenges in the past. Use specific examples that demonstrate your analytical thinking and ability to work under pressure, as these are key competencies for the role.

✨Tip Number 4

Stay updated on industry trends and best practices related to data engineering. Being able to discuss recent advancements or tools in big data technologies, cloud platforms, and ETL processes during your interview will show your commitment to continuous learning and improvement.

We think you need these skills to ace Data Engineer (Informatica/Teradata/Datawarehouse)

ETL Process Design
Informatica Expertise
Teradata Knowledge
Data Warehousing Concepts
SQL Proficiency
Data Modelling Skills
Big Data Technologies (Hadoop, Hive, Spark)
Programming in Python or Scala
Cloud Platform Familiarity (Azure, AWS)
Data Integration Management
Database Performance Optimisation
Data Quality Monitoring
Analytical and Problem-Solving Skills
Agile Methodologies
Code Deployment Tools (Udeploy, Artifactory, GitHub)
Technical Documentation Preparation
Collaboration and Communication Skills
Mentoring Junior Engineers

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Informatica, Teradata, and data warehousing. Use keywords from the job description to demonstrate that you meet the specific requirements.

Craft a Strong Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of PNC's values. Mention specific projects or experiences that align with the responsibilities listed in the job description.

Showcase Technical Skills: In your application, clearly outline your technical skills related to data pipelines, ETL processes, SQL, and any big data technologies you've worked with. Provide examples of how you've applied these skills in previous roles.

Highlight Problem-Solving Abilities: Demonstrate your analytical and problem-solving skills by including examples of challenges you've faced in data engineering and how you overcame them. This will show your capability to tackle complex data challenges as mentioned in the job description.

How to prepare for a job interview at PNC Financial Services Group, Inc.

✨Showcase Your Technical Skills

Be prepared to discuss your experience with data pipelines, ETL processes, and tools like Informatica and Teradata. Highlight specific projects where you've successfully implemented these technologies.

✨Demonstrate Problem-Solving Abilities

Expect questions that assess your analytical thinking and problem-solving skills. Prepare examples of complex data challenges you've faced and how you resolved them, particularly in high-pressure environments.

✨Understand the Business Context

Research PNC and understand their business model and values. Be ready to explain how your role as a Data Engineer can contribute to their goals, especially in delivering excellent customer experiences.

✨Prepare for Collaboration Questions

Since collaboration is key in this role, think of examples where you've worked effectively with analysts and stakeholders. Be ready to discuss how you gather requirements and implement data solutions that meet business needs.

Data Engineer (Informatica/Teradata/Datawarehouse)
PNC Financial Services Group, Inc.
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