Assurance - Financial Markets - Data Engineering - Associate

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As an Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Invite and give in the moment feedback in a constructive manner.
• Share and collaborate effectively with others.
• Identify and make suggestions for improvements when problems and/or opportunities arise.
• Handle, manipulate and analyse data and information responsibly.
• Follow risk management and compliance procedures.
• Keep up-to-date with developments in area of specialism.
• Communicate confidently in a clear, concise and articulate manner - verbally and in the materials I produce.
• Build and maintain an internal and external network.
• Seek opportunities to learn about how PwC works as a global network of firms.
• Uphold the firm's code of ethics and business conduct.

Key Responsibilities:

Data Engineering:

Develop, optimize, and maintain data pipelines and workflows to ensure eƯicient data

integration from multiple sources.

Use Python and SQL to design and implement scalable data processing solutions.

 Ensure data quality and consistency throughout data transformation and storage processes.

 Collaborate with data architects and senior engineers to build data solutions that meet business and technical requirements.

Cloud Technologies:

Work with cloud platforms (e.g., AWS, Azure, or Google Cloud) to deploy and maintain data solutions.

Support the migration of on-premise data infrastructure to the cloud environment when needed.

Assist in implementing cloud-based data storage solutions, such as data lakes and data warehouses.

Data Visualization:

Provide data to business stakeholders for visualizations using tools such as Power BI Tableau, or QuickSight.

Collaborate with analysts to understand their data needs and optimize data structures for reporting.

Collaboration and Support:

 Work closely with cross-functional teams, including data scientists and business analysts, to support data-driven decision-making.

Troubleshoot and resolve issues in the data pipeline and ensure timely data delivery.

Document processes, data flows, and infrastructure for team knowledge sharing.

Required Skills and Experience:

0+ years of experience in data engineering, working with Python and SQL.

Exposure to cloud platforms such as AWS, Azure, or Google Cloud is preferred.

Familiarity with data visualization tools (e.g., Power BI, Tableau, QuickSight) is a plus.

Basic understanding of data modeling, ETL processes, and data warehousing concepts.

Strong analytical and problem-solving skills, with attention to detail.

Qualifications:

Bachelor’s degree in Computer Science, Data Science, Information Technology, or related fields.

Basic knowledge of cloud platforms and services is advantageous.

Strong communication skills and the ability to work in a team-oriented environment.

Education (if blank, degree and/or field of study not specified)

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date