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Tech Stack
Tools & technologiesAirflowAWSAzureBigQueryCloudGoogle Cloud PlatformKafkaPySparkPythonTerraform
About the role
Key responsibilities & impact- Lead a team of data engineers
- Design and own the architecture of data pipelines and platforms using Databricks, Snowflake, MS Fabric, Azure, AWS, GCP, and other cloud-native technologies
- Lead technical delivery of scalable, secure, and maintainable data engineering projects
- Define and enforce engineering best practices and coding standards
- Drive adoption of CI/CD and Infrastructure as Code
- Guide data integrations between databases, applications, APIs, and cloud platforms, including batch and real-time integration
- Mentor team members and conduct code reviews
- Act as primary technical point of contact for clients
- Lead technical workshops and present architectural decisions
- Translate complex requirements into robust, well-architected data solutions
- Progress toward the Cloud Data Platform Architect role
Requirements
What you’ll need- Proven experience leading data engineering teams or projects
- Strong technical and people leadership skills
- Deep hands-on experience with Python, GIT, databases, OOP, testing, and design patterns
- Strong track record delivering projects using Databricks, Snowflake, or MS Fabric
- Experience with Azure, AWS, or GCP
- Cloud certification, such as Azure Solutions Architect, AWS Certified Solutions Architect, or GCP Professional Data Engineer
- Hands-on experience with CI/CD and Infrastructure as Code, such as Terraform, Bicep, or CloudFormation
- Excellent communication skills and ability to lead technical workshops and present to senior stakeholders
- Data warehousing, data lakes, Lakehouse architecture, operational data stores, or data modeling expertise is advantageous
- Multiple cloud certifications or expertise across more than one cloud platform is advantageous
- Experience designing CI/CD pipelines and IaC frameworks at scale is advantageous
- Experience with PySpark, Kafka, Airflow, or BigQuery is advantageous
- Experience with enterprise-grade batch and real-time integration architectures is advantageous
- Experience with AI, LLMs, or AI agents in data engineering workflows, such as RAG or prompt engineering, is advantageous
Benefits
Comp & perks- Professional growth and career development opportunities
- Fair pay and Equal Pay-certified employer
- Flexible benefits programme with 55,000 points
- 35 days of paid time off, including three well-being days and two additional days off at the end of the year
- One paid volunteering day every year
- Opportunity to work from one of PwC’s international offices, available from the Senior Associate level
- Ongoing training and certifications in consulting, business, technology, Agile, project management, data analytics, cloud, Microsoft technologies, business process analysis, and consulting skills
- Buddy programme, regular feedback, and access to a coach
- Extensive well-being support, including Dr. Digital, Human Dynamic programmes, workplace yoga, and running events
- Ultrabook and iPhone with unlimited data
- Social events and Away Days