Assurance - Financial Markets-Data Engineer
Assurance - Financial Markets-Data Engineer
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Job Description
Line of Service
AssuranceIndustry/Sector
Not ApplicableSpecialism
AssuranceManagement Level
AssociateJob Description & Summary
A career within Financial Markets Business Advisory services will provide you with the opportunity to contribute to a variety of audit regulatory valuation and financial analyses services to design solutions that address our clients complex accounting and financial reporting challenges as well as their broader business issues.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 purposeled and valuesdriven 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 an Associate youll work as part of a team of problem solvers helping to solve complex business issues from strategy to . PwC Professional skills and responsibilities for this management level include but are not limited to:
- Invite and give in the moment feedback in a constructive manner.
- Share and collaborate effectively with others.
- Identify and make suggestions for improvements when problems and/or opportunities arise.
- Handle manipulate and analyse data and information responsibly.
- Follow risk management and compliance procedures.
- Keep uptodate with developments in area of specialism.
- Communicate confidently in a clear concise and articulate manner verbally and in the materials I produce.
- Build and maintain an internal and external network.
- Seek opportunities to learn about how PwC works as a global network of firms.
- Uphold the firms code of ethics and business conduct.
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 Active Listening Agile Methodology Alteryx (Automation Platform) Automation Automation Framework Design and Development Automation Programming Automation Solutions Automation System Efficiency Business Analysis Business Performance Management Business Process Automation (BPA) Business Transformation C Programming Language Communication Configuration Management (CM) Continuous Process Improvement Daily Scrum Data Analytics Data Architecture DataDriven Insights Data Ingestion Data Reporting Data Transformation 29 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Employment Type
Full-Time
