Associate Engineer - Data Engineering- Associate 2

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. 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. 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

PwC Acceleration Centres