About the position
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. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm.
Responsibilities
- Craft and convey clear, impactful and engaging messages that tell a holistic story.
- Apply systems thinking to identify underlying problems and/or opportunities.
- Validate outcomes with clients, share alternative perspectives, and act on client feedback.
- Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations.
- Deepen and evolve your expertise with a focus on staying relevant.
- Initiate open and honest coaching conversations at all levels.
- Make difficult decisions and take action to resolve issues hindering team effectiveness.
- Model and reinforce professional and technical standards.
Requirements
- Bachelor's Degree
- 8 years of experience in data engineering or related field.
- Demonstrates technical proficiency with Azure, Azure Databricks, Azure Data Factory, Azure Fabric, Spark, Python/SQL.
Nice-to-haves
- Certification in one of the following cloud platform providers - AWS/Azure/GCP/Snowflake/Databricks.
- Experience leading technology workstreams from inception to delivery.
- Understanding and familiarity of CI/CD, cloud devops, containers (kubernetes/Docker, etc.).
Benefits
- Medical insurance
- Dental insurance
- Vision insurance
- 401k
- Holiday pay
- Vacation
- Personal and family sick leave
