Line of Service
Internal Firm ServicesIndustry/Sector
TechnologySpecialism
IFS - Information Technology (IT)Management Level
ManagerJob Description & Summary
About the role:
Youllbe joining our Data & AI capability as a Manager in the Data Engineering team leading one or more teams to design and deliver advanced data solutions that address complex challenges for PwC and its clients. Operating at the forefront of data engineeringyoullsupport projects acrossvarious industries such ashealthcareandfinancial servicesshaping and scaling data platforms that underpin analyticsAIand machine learning.
Youllcombine hands-on technical delivery with team leadership setting direction for robust modern data engineering in a cross-functional environment collaborating across business and technology to deliver tangible value from data.
Werelooking for a motivated self-starter comfortable with ambiguity and experienced in managing cross-functional delivery with 4 years of data engineering experience to join usin eitherour ManchesterorBirminghamoffices.
What your days will look like:
Leading and developing teams of data engineers creating a collaborative high-performing environment focused on building reliable and scalable data solutions.
Providing technical direction for the design build and support of data pipelines dataplatformsand analytics infrastructure ensuring alignment with organisational goals and industry best practices.
Contributing hands-on to solution design development and troubleshooting including code reviews and resolution of complex technical issues.
Building data engineering capability by driving adoption of modern techniquestoolsand patterns supporting the professional growth of your teams and the wider Data & AI capability.
Engaging stakeholders across business technology partners and clients to understand requirements set priorities and deliver impactful data solutions.
Ensuring quality by overseeing the developmentdeploymentand validation of data solutionsmaintaininghigh standardsof accuracyreliabilityand performance.
This role is for you if:
Proven experience leading or managing data engineering teams or workstreams in complex environments.
Strong object-oriented Python skills for developingtestingand packaging code including experience with tools such asGitCliff and familiarity with frameworks such asPyTorchand TensorFlow where relevant to data and AI workloads.
Experience with Apache Spark for large-scale data processing.
Effective use of coding tools such as Cursor GitHub Copilot andsimilar toaccelerate high-quality delivery.
Experience developing APIs usingFastAPIor similar technologies to expose data and analytics services.
Strong understanding of business intelligence needs and optimising data transformations for AI and BI applications.
Solid understanding of best practices in data engineering architecture including data modelling orchestration testing and observability.
Familiarity with SDLC methodologies such asSAFe Agile andJadXand experience applying them to data engineering projects.
Experience using repositories and DevOps tooling including GitHub and Azure DevOps.
Hands-on experience with major data engineering tools and platforms such as Databricks Microsoft Fabric Azure Data Factory and Palantir.
Experience with at least one major cloud platform (AzureAWSor GCP) ideally more than one for data engineering workloads.
What youll receive from us:
No matter where you may be in your career or personal life our benefits are designed to add value and support recognising and rewarding you fairly for your contributions. We offer a range of benefits including empowered flexibility and a working week split between office home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.
We offer a range of benefits including empowered flexibility and a working week split between office home and client site; private medical cover and 24/7 access to a qualified virtual GP; six volunteering days a year and much more.
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 Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Coaching and Feedback Communication Creativity Data Anonymization Data Architecture Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling 32 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Manager
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