PwC UK

About the Company

Welcome to the PwC UK Linkedin page, bringing you updates and insights from our work and our people.

We are founded on a culture of partnership with a strong commercial focus. This is reflected in our purpose: To build trust in society and solve important problems.

Overseen by our Chairman, it drives what we say and do in our everyday work by informing our choice, shaping the debates, guiding our decision-making, and inspiring us to make extraordinary efforts.

Find out more about us in our digital Annual Report here: bit.ly/1L1h6X9

Listed Jobs

Company Name

PwC UK

Job Title

Data and Insights Engineer

Job Description

Job title: Data and Insights Engineer Role Summary: Build and maintain scalable data pipelines in Databricks, transform raw datasets into analytics-ready formats, and deliver insights through Power BI. Collaborate with stakeholders to streamline data flows, automate reporting, and support AI/ML initiatives. Expactations: Partner with business units to understand reporting needs, identify process improvements, transition legacy reports to automated frameworks, troubleshoot complex data issues, and mentor junior team members. Key Responsibilities: - Design, develop, and maintain reusable data pipelines in Databricks using PySpark and SQL. - Cleanse, transform, and enrich data from diverse sources into trustworthy datasets. - Automate, standardise, and optimise existing data processes. - Migrate reporting solutions to sustainable, automated frameworks integrating Databricks and Power BI. - Engage stakeholders to gather requirements, manage expectations, and deliver actionable insights. - Resolve data quality and performance issues using analytical problem‑solving. - Coach and mentor team members in data engineering practices. Required Skills: - Python (PySpark) and SQL programming proficiency. - Hands‑on experience with Databricks or equivalent data integration platforms. - Data visualization expertise with Power BI (Alteryx optional). - Strong analytical and problem‑solving abilities. - Effective communication and stakeholder‑management skills. - Experience deploying AI/ML models into production (preferred). - Coaching or mentoring experience. Required Education & Certifications: - Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or related discipline. - Databricks or PySpark certification preferred. - Other relevant data‑engineering certifications (e.g., Microsoft Certified: Power BI Data Analyst, AWS Certified Data Analytics) are valued.

Bristol, United kingdom

Hybrid

06-12-2025