Assurance - Financial Markets-Data Engineer

A career within Financial Markets Business Advisory services, will provide you with the opportunity to contribute to a variety of audit, regulatory, valuation, and financial analyses services to design solutions that address our clients’ complex accounting and financial reporting challenges, as well as their broader business issues.

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.

Responsibilities

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.
  
  

We are seeking a highly motivated Data Engineer - Associate to join our dynamic team. The ideal

candidate will have a strong foundation in data engineering, particularly with Python and SQL, and

will have exposure to cloud technologies and data visualization tools such as Power BI, Tableau, or

QuickSight. The Data Engineer will work closely with data architects and business stakeholders to

support the design and implementation of data pipelines and analytics solutions. This role oƯers an

opportunity to grow technical expertise in cloud and data solutions, contributing to projects that

drive business insights and innovation.

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.