FMRE- Data Engineer- Senior Associate
FMRE- Data Engineer- Senior Associate
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Job Description
Industry/Sector
Not ApplicableSpecialism
AssuranceManagement Level
Senior AssociateJob Description & Summary
At PwC our people in finance consulting specialise in providing consulting services related to financial management and strategy. These individuals analyse client needs develop financial solutions and offer guidance and support to help clients optimise their financial performance improve decision-making and achieve their financial goals.As a finance consulting generalist at PwC you will possess a broad understanding of various aspects of finance consulting. Your work will involve providing comprehensive guidance and support to clients in optimising their financial performance improving decision-making and achieving their financial goals. You will be responsible for analysing client needs developing financial solutions and offering recommendations tailored to specific business requirements.
Focused on relationships you are building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations you are growing your personal brand deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients and to deliver quality. Embracing increased ambiguity you are comfortable when the path forward isnt clear you ask questions and you use these moments as opportunities to grow.
Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:
- Respond effectively to the diverse perspectives needs and feelings of others.
- Use a broad range of tools methodologies and techniques to generate new ideas and solve problems.
- Use critical thinking to break down complex concepts.
- Understand the broader objectives of your project or role and how your work fits into the overall strategy.
- Develop a deeper understanding of the business context and how it is changing.
- Use reflection to develop self awareness enhance strengths and address development areas.
- Interpret data to inform insights and recommendations.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firms code of conduct and independence requirements.
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 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 efficient 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:
Bachelors or Masters 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.
Travel Requirements
Job Posting End Date
Required Experience:
Senior IC
Employment Type
Full-Time
