Assurance - Financial Markets - Data Engineering - Senior Associate

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Senior Associate

Job Description & Summary

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.

As a Senior 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:

• Use feedback and reflection to develop self awareness, personal strengths and address development areas.
• Delegate to others to provide stretch opportunities, coaching them to deliver results.
• Demonstrate critical thinking and the ability to bring order to unstructured problems.
• Use a broad range of tools and techniques to extract insights from current industry or sector trends.
• Review your work and that of others for quality, accuracy and relevance.
• Know how and when to use tools available for a given situation and can explain the reasons for this choice.
• Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
• Use straightforward communication, in a structured way, when influencing and connecting with others.
• Able to read situations and modify behavior to build quality relationships.
• Uphold the firm's code of ethics and business conduct.

Job Title: Data Engineer - Senior Associate

Role Overview:

We are looking for a highly skilled Data Engineer - Senior Associate with strong expertise in Python, SQL, and Data Modeling. The ideal candidate will have hands-on experience with cloud platforms, and basic knowledge of machine learning and AI concepts. Additionally, familiarity with data visualization tools such as Power BI, Tableau, or QuickSight is essential. In this role, you will design and optimize data pipelines, work with cloud environments, and contribute to advanced analytics initiatives, driving business insights through robust data solutions.

Key Responsibilities:

Data Engineering & Modeling:

Lead the development, optimization, and maintenance of complex data pipelines to handle large-scale data integration and transformation.

Apply advanced SQL and Python to design, build, and optimize data processing systems and workflows.

Utilize strong data modeling skills to develop and implement eƯicient and scalable database structures.

Ensure data quality, accuracy, and security throughout all stages of data processing.

Cloud Data Solutions:

Work extensively with cloud platforms (e.g., AWS, Azure, Google Cloud) to design and deploy scalable data solutions.

Implement cloud-based data lakes, warehouses, and other data storage solutions in collaboration with data architects and cloud engineers.

Automate and optimize cloud infrastructure to enhance performance and reduce costs. Machine Learning & AI Support:

Support data scientists and machine learning engineers by preparing data for machine learning and AI models.

Utilize basic knowledge of machine learning concepts to identify opportunities for predictive analytics and automation within data workflows.

Data Visualization:

Provide clean, structured data to business stakeholders for use in visualizations with Power BI, Tableau, QuickSight, and other tools.

Collaborate with analysts and business users to deliver data that meets their reporting and analytics needs.

Collaboration & Leadership:

Mentor junior data engineers and provide technical leadership in designing data solutions.

Work closely with cross-functional teams including data scientists, cloud architects, and business analysts to ensure data strategies align with business objectives.

Troubleshoot, optimize, and resolve issues in existing data infrastructure and pipelines.

Required Skills and Experience:

4+ years of experience in data engineering, with strong expertise in Python and SQL.

Extensive experience with data modeling and designing scalable data solutions.

Proficiency with cloud platforms (e.g., AWS, Azure, Google Cloud) and cloud-native services.

Basic understanding of machine learning and AI principles, with an ability to support related initiatives.

Hands-on experience with data visualization tools such as Power BI, Tableau, or QuickSight.

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

Qualifications:

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

Demonstrated experience in building and optimizing data pipelines in cloud environments.

Ability to lead technical discussions and mentor junior team members.

Strong communication skills and experience collaborating with cross-functional teams.

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

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date