Data-New Hire Senior Associate - Operate

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Senior Associate

Job Description & Summary

At PwC our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations reduce costs and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management technology and process optimization to deliver high-quality services to clients.

Those in managed service management and strategy at PwC will focus on transitioning and running services along with managing delivery teams programmes commercials performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process tools and services.

Focused on relationships you are building meaningful client connections and learning how to manage and inspire others. Navigating increasingly complex situations you are growing your personal brand deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients and to deliver quality. Embracing increased ambiguity you are comfortable when the path forward isnt clear you ask questions and you use these moments as opportunities to grow.

Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:

• Respond effectively to the diverse perspectives needs and feelings of others.
• Use a broad range of tools methodologies and techniques to generate new ideas and solve problems.
• Use critical thinking to break down complex concepts.
• Understand the broader objectives of your project or role and how your work fits into the overall strategy.
• Develop a deeper understanding of the business context and how it is changing.
• Use reflection to develop self awareness enhance strengths and address development areas.
• Interpret data to inform insights and recommendations.
• Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firms code of conduct and independence requirements.

Data Engineer Senior Associate (59 Years)
Our Analytics & Insights Managed Services team brings a unique combination of industry expertise technology data management and managed-services experience to create sustained outcomes for our clients and improve business performance. We empower companies to transform their approach to analytics and insights while building your skills in exciting new directions. Have a voice at our table to help design build and operate the next generation of software and services as a Data Engineer.

Job Requirements and Preferences

Basic Qualifications

• Minimum Degree Required:
  Bachelors degree in computer science Data Engineering Information Systems or a related technical field
  
• Minimum Years of Experience:
  59 years of hands-on experience designing building and operating data platforms and pipelines

Preferred Qualifications

• Degree Preferred:
  Masters degree in data science Analytics Computer Science Information Systems or related discipline
• Preferred Fields of Study:
  Data Processing/Analytics/Science Management Information Systems Software Engineering

Preferred Knowledge & Skills

As a Senior Associate youll take ownership of complex data solutions drive best practices and mentor junior teammates across the full data lifecycle:

• Advanced Data Pipeline Development
  Architect and implement scalable ETL/ELT workflows using Python (PySpark) Scala and SQL
  Orchestrate batch and real-time jobs with Airflow Prefect or Apache NiFi
• Big Data & Streaming Ecosystems
  Develop Spark applications and manage Hadoop components (HDFS YARN) for large-scale processing
  Build and integrate streaming solutions using Kafka Kinesis or Pulsar
• Cloud & Hybrid Infrastructure
  Deploy and operate data platforms on OCI/Azure/GCP (e.g. ADLS Glue/Dataflow Databricks clusters)
  Automate provisioning with Terraform or CloudFormation; containerize workloads with Docker/Kubernetes
• Data Modeling & Warehousing
  Design dimensional and normalized schemas for data lakes and warehouses (Snowflake Redshift BigQuery Dataiku)
  Implement partitioning clustering and indexing strategies to optimize query performance
• DevOps & Automation
  Build CI/CD pipelines for data code and infrastructure using GitHub Actions Jenkins or GitLab CI
  Automate testing monitoring and rollback with tools like Great Expectations Prometheus and Grafana
• Data Governance & Quality
  Establish lineage metadata management and quality checks (e.g. Deequ Great Expectations)
  Partner with data stewards to enforce access controls compliance and cataloging
• Performance Tuning & Scalability
  Profile and optimize Spark jobs SQL queries and storage layouts to meet SLA requirements
  Apply caching parallelism and resource-management best practices
• Collaboration & Leadership
  Translate complex technical designs into clear recommendations for business and IT stakeholders
  Mentor and coach junior engineers lead code reviews and champion best practices
• Accelerators & Innovation
  Contribute to reusable playbooks reference architectures and starter kits that accelerate delivery
  Stay current with emerging data technologies and drive continuous improvement

Travel Requirements

Not Specified

Job Posting End Date