Data Engineer Associate

1 Year ago • All levels • Data Analysis

Job Summary

Job Description

As a Data Engineer Associate at PwC, you will focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. Your role will involve transforming raw data into actionable insights to drive informed decision-making and business growth. You will be responsible for designing and building data infrastructure and systems, implementing data pipelines, data integration, and data transformation solutions. We seek individuals driven by curiosity, who are reliable team members adaptable to various client and team dynamics. You are expected to take ownership, deliver quality work, and build your professional brand within the firm.
Must have:
  • Apply a learning mindset
  • Take ownership for development
  • Appreciate diverse perspectives
  • Sustain high performance
  • Listen and ask questions
  • Express ideas clearly
  • Seek and give feedback
  • Gather and analyze facts
  • Understand business operations
  • Build commercial awareness
Good to have:
  • Amazon Web Services (AWS)
  • Apache Airflow
  • Apache Hadoop
  • Azure Data Factory
  • Databricks Unified Data Analytics Platform
  • Data Architecture
  • Database Management System (DBMS)
  • Data Engineering
  • Data Integration
  • Data Lake
  • Data Modeling
  • Data Pipeline

Job Details

Line of Service

Advisory

Industry/Sector

Technology

Specialism

Advisory - Other

Management Level

Associate

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

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.

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.

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

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Strategy {+ 22 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

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About The Company

At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 152 countries with over 327,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com. PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity.


Content on this page has been prepared for general information only and is not intended to be relied upon as accounting, tax or professional advice. Please reach out to your advisors for specific advice.

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