Azure Data Engineer - Senior Associate

Line of Service

Internal Firm Services

Industry/Sector

Not Applicable

Specialism

IFS - Internal Firm Services - Other

Management Level

Senior Associate

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

As part of our Data Engineering team, you will create data pipelines and data structures utilizing modern data technology, engineering process, and languages. You will be responsible for helping organizations migrate and modernize data platforms in support of enterprise analytics, intelligent applications, and machine learning initiatives.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Use feedback and reflection to develop self awareness, personal strengths and address development areas.
• Delegate to others to provide stretch opportunities, coaching them to deliver results.
• Demonstrate critical thinking and the ability to bring order to unstructured problems.
• Use a broad range of tools and techniques to extract insights from current industry or sector trends.
• Review your work and that of others for quality, accuracy and relevance.
• Know how and when to use tools available for a given situation and can explain the reasons for this choice.
• Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
• Use straightforward communication, in a structured way, when influencing and connecting with others.
• Able to read situations and modify behavior to build quality relationships.
• Uphold the firm's code of ethics and business conduct.

What You will do

● Create and maintain optimal data pipeline architecture

● Identify, design and implement internal process improvements, automating manual

processes, optimizing data delivery, re-designing infrastructure for scalability

● Design, develop and deploy high volume ETL pipelines to manage complex and near-real

time data collection

● Work with the data management team and project leads to assist with data related technical

issues and support infrastructure needs

Preferred Knowledge/ Skills:

● Azure data engineer skills databricks, data factory, data lake, Azure sql db, synapse.
Preferable: Informatica, Oracle and Azure DevOps.

● A successful history of manipulating, processing and extracting value from large

disconnected data sets

● Familiarity with enterprise productivity tools including Microsoft Office Suite and Google

platforms and other project management software

● Strong business and technical acumen

● Strong problem solving, communication and follow-up skills

● Ability to navigate complexity and ambiguity, practicing resourcefulness to see things

through

● Identifying and keeping up with industry leading best practices in relevant technical domains

About the team

CommTech & Performance Comms: Wrangle and analyze data to produce intelligence and insights,

guiding strategic decision-making and measuring our impact.

Years of experience required – 4-9 years

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

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