Associate Engineer - Data Engineering- Associate 2

Industry/Sector

Not Applicable

Specialism

Data Engineering

Management Level

Associate

Job Description & 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.

The Opportunity

When you join PwC Acceleration Centers (ACs), you step into a pivotal role focused on actively supporting various Acceleration Center services, from Advisory to Assurance, Tax and Business Services. In our innovative hubs, you’ll engage in challenging projects and provide distinctive services to support client engagements through enhanced quality and innovation. You’ll also participate in dynamic and digitally enabled training that is designed to grow your technical and professional skills.

As part of the Data and Analytics team you will create and maintain adaptable data pipeline architecture while adapting to various client needs. As an Associate you will take ownership of your development, consistently delivering quality work and contributing to team success in a fast-paced environment.

Responsibilities

- Create and maintain streamlined data pipeline architecture

- Adapt solutions to meet diverse client needs

- Take ownership of personal development and learning

- Deliver quality work consistently in a dynamic environment

- Collaborate with team members to achieve project goals

- Analyze data to inform insights and recommendations

- Engage in problem-solving and critical thinking

- Uphold professional and technical standards in every task

What You Must Have

- 1-4 years of experience in data engineering

- Oral and written proficiency in English required

What Sets You Apart

- Proven experience in data pipeline architecture

- Familiarity with Azure data engineering tools

- Demonstrated ability in automating processes

- Experience in designing and deploying ETL pipelines

- Skilled in Microsoft Office Suite and Google platforms

- Excelling in problem solving and communication

- Navigating complexity and ambiguity effectively

- Committed to understanding business operations

Travel Requirements

Not Specified

Job Posting End Date