ETIC, Data Engineer, Senior Associate

Line of Service

Advisory

Industry/Sector

Technology

Specialism

Advisory - 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:

• You’ll have 4+ years of hands-on experience of data analytics solutions on cloud platforms

• Assure that data is cleansed, mapped, transformed, and otherwise optimized for storage and use according to business and technical requirements

• Develop and maintain innovative Azure solutions

• Solution design using Microsoft Azure services and other tools

• The ability to automate tasks and deploy production standard code (with unit testing, continuous integration, versioning etc.)

• Load transformed data into storage and reporting structures in destinations including data warehouse, high speed indexes, real-time reporting systems and analytics applications

• Build data pipelines to collectively bring together data

• Other responsibilities include extracting data, troubleshooting and maintaining the data warehouse

• Gather requirements from stakeholders and translate them into technical specifications.

• Modern data lakes and data warehouse solutions.

• Experience in adapting your communication style to help translate complex technical information to audiences unfamiliar with the technologies

Technical skills:

•  Foundational understanding of Data & Analytics Architectures, definition of KPIs / metrics and insight requirements

•  Experience with Azure: ADLS, Databricks, Stream Analytics, SQL DW, COSMOS DB, Analysis Services, Azure Functions, Serverless Architecture, ARM Templates

• Programming languages: Python

• Data warehouse technologies: Synapse/Snowflake

• Data lake technologies: Hadoop, Apache Beam, Spark, and Hive

• Orchestration: Airflow/Control-M/(Any Orchestration tool)

• Machine learning frameworks: TensorFlow, PyTorch, and scikit-learn

 Practical knowledge of core data modeling, manipulation and visualization skills- for example using tools such as Excel, Alteryx, PowerBI/Tableau/Qlik

Project skills:
● Experience in shaping and planning projects through either Waterfall or Agile methodologies
● Experience using Agile project management tools (DevOps, Trello, JIRA, Kanbanchi etc)

Supporting the design and delivery of data transformation projects with clients. This will include:
● Translating business requirements into technical specifications, helping to understand and create solutions to our clients’ key challenges
● Participating in end-to-end planning, coordination and oversight of the project lifecycle including resourcing, scoping, architecting and delivery
● Developing client relationships including with C-level staff, Heads of Data and Analytics, IT and Data Architects and other business stakeholders during the lifecycle of a project
● Collaborating with our wider D&A teams across the firm, whether that be locally or working with our alternative delivery teams (onshore and offshore)
● Taking an active role in coaching and developing skills for more junior team members
● Man interface with client relationships including with C-level staff, Heads of Data and Analytics, IT and Data Architects and other business stakeholders during the lifecycle of a project.

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