Financial Markets- Data Engineer

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.

Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities.

Skills

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Apply a learning mindset and take ownership for your own development.
• Appreciate diverse perspectives, needs, and feelings of others.
• Adopt habits to sustain high performance and develop your potential.
• Actively listen, ask questions to check understanding, and clearly express ideas.
• Seek, reflect, act on, and give feedback.
• Gather information from a range of sources to analyse facts and discern patterns.
• Commit to understanding how the business works and building commercial awareness.
• Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements.
  
  

Role Overview

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.