ETIC, Data Engineer, Manager

15 Minutes ago • 8 Years +
Data Analysis

Job Description

Our data and analytics engineering team designs and develops robust data solutions, transforming raw data into actionable insights for informed decision-making and business growth. In this role, you will focus on building data infrastructure and systems, developing and implementing data pipelines, data integration, and data transformation solutions to enable efficient data processing and analysis. You will also enhance your leadership style, motivate, develop, and inspire others to deliver quality, coaching team members and managing performance.
Good To Have:
  • Relevant certifications in Microsoft Azure Cloud
Must Have:
  • Design and build data infrastructure and systems for efficient data processing and analysis.
  • Develop and implement data pipelines, data integration, and data transformation solutions.
  • Analyse and identify linkages and interactions between system components.
  • Take ownership of projects, ensuring successful planning, budgeting, execution, and completion.
  • Partner with team leadership for collective ownership of quality, timelines, and deliverables.
  • Develop skills outside your comfort zone and encourage others to do the same.
  • Effectively mentor others and use work review to deepen team expertise.
  • Address conflicts or issues, engaging in difficult conversations, escalating where appropriate.
  • Uphold professional and technical standards, the Firm's code of conduct, and independence requirements.
  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Business Administration, or a related field.
  • 8+ years of experience in the Data & Analytics field.

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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, 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.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

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

  • Analyse and identify the linkages and interactions between the component parts of an entire system.
  • Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
  • Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
  • Develop skills outside your comfort zone, and encourage others to do the same.
  • Effectively mentor others.
  • Use the review of work as an opportunity to deepen the expertise of team members.
  • Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
  • Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
  • Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Business Administration, or a related field.
  • Relevant certifications in Microsoft Azure Cloud

8+ years of experience in the Data & Analytics field

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