Senior Data Engineer

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Risk Architecture

Management Level

Senior Associate

Job Description & Summary

A career within Assurance Support Services, will provide the opportunity to support our engagement teams and clients by providing advice and counsel on accounting, financial reporting, and strategic business issues. In joining, you’ll help ensure a complete and relevant exchange of information among our consultants and in turn with engagement teams and clients, provide experts advice on a variety of specific topics, support engagement teams in resolving complex issues, and supporting clients and their subsidiaries in evaluating the potential impact of accounting and reporting standard setting initiatives. You’ll develop strong relationships with our engagement teams and established audit clients and enhance our ability to meet greater investor expectations with the challenges of an increasingly complex business environment.

Our team works closely with engagement teams, PwC leadership, PwC counsel, and other groups within PwC to identify and manage practice matters. You’ll play an integral role in developing policy, processes, and tools to support the assurance practice and will interact daily with engagement teams to help staff navigate the challenging and highly judgmental aspect of the audit practice.

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.

At PwC, we specialize in providing cutting-edge data solutions that drive business success. We partner with clients across diverse industries to understand their data needs, design robust data architectures, and implement scalable data solutions. Our team is dedicated to solving complex data challenges and delivering strategic solutions that align with our clients' goals.

As a Data Engineer, you will be responsible for designing, developing, and managing data architecture and pipelines. You will collaborate with solution architect, devops engineer, data scientist, and other stakeholders to create reliable and efficient data systems using cutting-edge technologies such as GenAI, Machine Learning, etc.

In this role, you will also get the opportunity to enhance your expertise across a broad spectrum of data-related disciplines such as data governance, data strategies, data science, and project management.

Key Responsibilities:

• Design, implement, and maintain scalable data pipelines to import, process, and integrate data from various sources.
• Build and optimize data warehousing solutions to support business intelligence and analytics needs.
• Develop and manage ETL processes to ensure timely and accurate data transformation and loading.
• Monitor and enhance data quality, implementing data validation and cleansing processes to ensure accuracy and consistency.
• Partner with solution architect, business analyst, devops engineer, data scientist, and other stakeholders to understand data requirements and provide technical solutions.
• Tune and optimize data processing and query performance to handle large datasets efficiently.
• Create and maintain comprehensive documentation for data pipelines, processes, and systems.
• Stay current with industry trends and emerging technologies to continuously improve data engineering practices.

Experience and Qualifications:

• Bachelor’s Degree in Computer Science, Information Technology, Engineering or a similar field.
• Minimum 2-3 years of experience as a Data Engineer or in a related role, with a proven track record in data pipeline development and data management.
• Proficient in cloud platforms (e.g. AWS Glue, AWS Lambda, AWS Redshift, Azure Data Factory, Databricks, Synapse Analytic and BI tools like SSIS, SSAS).
• Strong programming skills in Python, Java, or Scala. Experience with data processing frameworks and libraries.
• Familiarity with ETL tools, data warehousing solutions, and data visualization tools is advantageous.
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
• Excellent analytical and troubleshooting skills with the ability to resolve complex data-related issues.
• Strong verbal and written communication skills. Ability to work effectively with cross-functional teams.
• Understanding of data governance, data privacy, and security best practices.

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

Degrees/Field of Study required:

Degrees/Field of Study preferred: Bachelor Degree

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Up to 40%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

Yes

Job Posting End Date