Financial Markets- Data Engineer
Financial Markets- Data Engineer
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Job Description
Line of Service
AssuranceIndustry/Sector
Not ApplicableSpecialism
AssuranceManagement Level
AssociateJob Description & Summary
At PwC our people in finance consulting specialise in providing consulting services related to financial management and strategy. These individuals analyse client needs develop financial solutions and offer guidance and support to help clients optimise their financial performance improve decisionmaking and achieve their financial goals.As a finance consulting generalist at PwC you will possess a broad understanding of various aspects of finance consulting. Your work will involve providing comprehensive guidance and support to clients in optimising their financial performance improving decisionmaking and achieving their financial goals. You will be responsible for analysing client needs developing financial solutions and offering recommendations tailored to specific business requirements.
Driven by curiosity you are a reliable contributing member of a team. In our fastpaced 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 Firms code of conduct and independence requirements.
Role Overview:
We are seeking a highly motivated Data Engineer Associate to join our dynamic team. The ideal
candidate will have a strong foundation in data engineering particularly with Python and SQL and
will have exposure to cloud technologies and data visualization tools such as Power BI Tableau or
QuickSight. The Data Engineer will work closely with data architects and business stakeholders to
support the design and implementation of data pipelines and analytics solutions. This role oers an
opportunity to grow technical expertise in cloud and data solutions contributing to projects that
drive business insights and innovation.
Key Responsibilities:
Data Engineering:
Develop optimize and maintain data pipelines and workflows to ensure eicient data
integration from multiple sources.
Use Python and SQL to design and implement scalable data processing solutions.
Ensure data quality and consistency throughout data transformation and storage
processes.
Collaborate with data architects and senior engineers to build data solutions that meet
business and technical requirements.
Cloud Technologies:
Work with cloud platforms (e.g. AWS Azure or Google Cloud) to deploy and maintain data
solutions.
Support the migration of onpremise data infrastructure to the cloud environment when
needed.
Assist in implementing cloudbased data storage solutions such as data lakes and data
warehouses.
Data Visualization:
Provide data to business stakeholders for visualizations using tools such as Power BI
Tableau or QuickSight.
Collaborate with analysts to understand their data needs and optimize data structures for
reporting.
Collaboration and Support:
Work closely with crossfunctional teams including data scientists and business analysts
to support datadriven decisionmaking.
Troubleshoot and resolve issues in the data pipeline and ensure timely data delivery.
Document processes data flows and infrastructure for team knowledge sharing.
Required Skills and Experience:
0 years of experience in data engineering working with Python and SQL.
Exposure to cloud platforms such as AWS Azure or Google Cloud is preferred.
Familiarity with data visualization tools (e.g. Power BI Tableau QuickSight) is a plus.
Basic understanding of data modeling ETL processes and data warehousing concepts.
Strong analytical and problemsolving skills with attention to detail.
Qualifications:
Bachelors degree in Computer Science Data Science Information Technology or related
fields.
Basic knowledge of cloud platforms and services is advantageous.
Strong communication skills and the ability to work in a teamoriented environment.
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
Accepting Feedback Accepting Feedback Accounting Consulting Accounting Policies Active Listening Communication Complying With Regulations Economic Forecasting Emotional Regulation Empathy Ensuring Compliance With Accounting Standards Financial Accounting Financial Economics Financial Management Financial Market Financial Modeling Financial Regulation Financial Reporting Financial Risk Management Financial Statement Analysis Financial Statement Preparation Financial Strategy Inclusion Intellectual Curiosity Investment Advising 6 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
Employment Type
Full-Time
