Job Description

Line of Service Advisory
Industry/Sector Not Applicable
Specialism Data, Analytics & AI
Management Level Senior Associate
& Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.
Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more .
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm's growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "
You will be accountable for building & managing the data pipelines required to support Data loads and downstream reporting requirements.
You will help establish and validate the data sourcing requirements, build pipelines to curate data sets required and support the creation of output interfaces required for downstream consumption requirements, including reporting, model monitoring.
You will undertake these activities in a cross functional squad supported by SMEs, Business Analysts, Data Analysts & Engineers and more.
You will be collaborating to support the achievement of project or business outcomes such as process mapping and change transition as well as the technical implementation of the data processes.
You will ensure delivery of best practice end-to-end data engineering respecting best practices, policies and standards.
Aligned with the broader move to a Data Mesh and Data Product architecture on cloud platforms, you will help establish the starting point for other Data Portfolio teams to move to our next state architecture
Responsibilities:

• Design data structures and processes for data ingestion, integration and analytics layers on a variety of AWS (LAMBDA) & Google Cloud Platform (GCP) technologies (e.g. Cloud Run, CloudSQL, Google Cloud Storage, BigQuery, Vertex AI) and tooling such as DBT, PYTHON language working together to support the program workflow.

• Working in a cross skilled squad with people both from business and technology to build end to end capabilities and support project deliverable outcomes.

• Contribute to design patterns for on-premise and cloud.

• Optimise data flows by building robust, fault-tolerant data pipeline that cleans, transforms, and aggregates unorganized and messy data into databases or data sources.

• Implement automated controls to support data quality and process quality verification, auditability and reconciliation.

Knowledge, skills and experiences

• A strong background in data processing and software engineering and can build high quality, scalable data products

• Strong Software Engineering experience with proficiency in at least one high-level programming language (Python, Java, Scala)

• Experience and proficiency in Amazon & Google Cloud Platform technologies

• Strong ability to translate data insights into practical business recommendation

• Desirable to have good Commercial domain knowledge of Banking Systems

• Data Engineering Languages - Solving complex problems using programming techniques, drives consistency across teams, and Leading code quality improvements with large-scale changes.

• Data Flow Engineering - Designing and leading complex data flow projects, making informed choices about pipeline architectures and ensuring optimal performance.

• Data Quality Assurance - Leading the design and implementation of complex data flow solutions, making informed decisions on technical choices and ensuring optimal performance.

• Data Modelling - Designing and implementing solutions with different data modelling techniques as appropriate.

• Documentation - Anticipating documentation needs for both technical and non-technical audiences, coaching others, and contributes to organizational documentation standards, including in support of knowledge management and data management needs.

• Soft Skills - Communication, Problem Solving, Planning and Prioritization, Critical Thinking

• Incident, Risk and Issue Management - Independently assesses operational risks, applies security policies to mitigate issues, leads strategic incident management, and mentors others for effective response.

• Change Management - Developing and implementing change plans, analyzing culture and readiness, with minimal guidance.

• Agile practices, Data & AI Privacy & Ethics - Effectively participates in Agile teams, adapting to iterative processes and new ways of working. Applying data and AI risk, privacy laws and ethical guidelines to ensure compliance in various data-related activities.

• Testing, Tools & system - Responsible for developing advanced testing methodologies, creating comprehensive strategies, mentoring teams to ensure high-quality deliverables, and applying domain knowledge to independently solve problems and improve systems or processes.

Variation in job grades for the Data Engineer role cover level of expertise, skills and autonomy in the following areas:

• Customer Focus

• Continuous improvement and change

• Problem solving

• Market / Industry knowledge

• Influencing & Relationship Building

• Data Visualisation and story telling

• Modelling/Predictive Analytics skills

• Understanding depth & breadth of data

• Financial/ Business/ Commercial/ Market Acumen

Must Have - Google Cloud Certified - Professional Data Engineer
Area of expertise - SQL, Python, DBT, AWS (LAMBDA) & Google Cloud Platform (GCP) technologies (e.g. Cloud Run, CloudSQL, Google Cloud Storage, BigQuery, Vertex AI)
Mandatory Skill Sets:Google Cloud Certified - Professional Data Engineer Area of expertise - SQL, Python, DBT, AWS (LAMBDA) & Google Cloud Platform (GCP) technologies (e.g. Cloud Run, CloudSQL, Google Cloud Storage, BigQuery, Vertex AI)
Preferred Skill Sets:1 Financial Services experience hands-on project experience
Years of Experience required- 7 - 10 years
Education Qualifications:
Degree qualifications in Data Science, Computer Science, Information Technology, Information Systems, Statistics, Applied Mathematics, Business Administration or any other related field
Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills Google Cloud Operations
Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date

Skills Required