Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

& Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

& Summary:

We are seeking hands-on Databricks Data Engineerwith 5–7 years of experience who can design, build, andoptimizescalable data pipelines on the Databricks Lakehouse The ideal candidate is strong in SQL, Python, andPySpark, understands Delta Lakeinside out, and is experienced with production-grade ETL/ELT, orchestration, cost/performance optimization, and data governance(e.g., Unity Catalog)

Candidate should have hands-on knowledge of Azure ADFand ADLS

Responsibilities:

You will work on:

• Build reliable, scalable batch and streamingpipelines using PySparkand Databricks Workflows/Jobs

• Implement Delta Lakebest practices: schema enforcement/evolution, ACID transactions, time travel, OPTIMIZE/ZORDER, and VACUUM

• Develop Delta Live Tables (DLT)or Structured Streamingpipelines with Auto Loaderfor ingestion

• Write robust modular code in Python(packaging, logging, configuration, error handling).

• Write efficient and scalable SQL queries for data extraction and reporting.

• OptimizeSpark jobs (partitions, joins, bucketing,caching, AQE, broadcast hints, file sizing)

• Familiarity with SQL Warehouses, Photon, DBRversions, cluster policies, and pools

• Workflows/Jobsorchestration: tasks, dependencies, parameters, retries, alerts, schedules.

• Unity Catalog permissions, data lineage, audit, external locations, shares; catalog-first design

• Ensure idempotent, repayable, and incrementalpipelines with proper checkpoints and watermarks

• Implement data quality checks (expectations tests in DLT/Great Expectations), unit/integration tests for pipelines

• Ensure data quality, integrity, and governance across the pipeline.

• Work with CI/CD tools to automate deployment and testing of data workflows.

• Work with stakeholders to definedataSLAs, schemas, and interface contracts

• Document pipelines, data sets (data dictionary, lineage), and usage guidelines

Primary Skills:

• Databricks Platform

• PySpark

• SQL

• Data Modelling

• Python(Scripting, Data Manipulation)

• Azure–ADF, ADLS

Secondary Skills:

• CI/CD (Git, Jenkins, Azure DevOps, etc.)

Mandatory skill sets:

Databricks certified Data Engineer Associate

Preferred skill sets:

Analytical mindset with strong problem-solving ability

Years of experiencerequired

Experience: 5–7Years

Education Qualification:

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology, Master of Engineering, Master of Business AdministrationDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure, Microsoft Azure Analytics Services

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, 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, Data Pipeline {+ 27 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

May 14, 2026