Data Engineer Consultant (Healthcare)

PwC is hiring a Data Engineer Consultant (Healthcare) in Singapore, Singapore. Level rates it ; you can apply on PwC.

Level's read on this job

Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
PwC mentions visa sponsorship in this posting.
Tools and skills the posting cites include Databricks, Microsoft Fabric and SQL.
Level classifies it as a mid-level role.
Level lists 3,700+ other open roles at PwC.

AI in this role

Develop and optimize ETL pipelines, data models, and data integration solutions using Databricks and Microsoft Fabric.

DatabricksMicrosoft FabricSQLSsisT SQLPythonC#PowerShellSelenium

etldata-modelingdata-warehousingqaunit-testing

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Technology Strategy

Management Level

Associate

Job Description & Summary

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com.

About The Team

PwC Southeast Asia Consulting's vision is to create meaningful relationships with our clients by powering the next generation digital enterprise.

Our practice spans the whole range of clients’ digital capabilities, ranging from strategy to execution. We help solve complex boardroom problems, and work with the team to not only solve problems of today but get them ready for new opportunities for tomorrow, creating the pathway of how technology can enable business visions.

About the Role

Develop ETL strategy and ETL logic.
Conduct analysing work on requirements of analytics use case to determine the data mapping required.
Develop data model from conceptual to logical and physical or to support the leader to design the data model.
Drive conversation with customer project team members to get the output required for us to develop the ETL.
Develop unit test scripts, system integration test scripts, user acceptance test scripts.
Conduct QA on ETL result done by other data engineers in the team.
Conduct optimization of ETL logic that had been developed.
Responsible for testing and validating data from UAT
Responsible to do fix on the ETL code and regression testing.

About You

Bachelor’s degree in information systems, Computer Science, Engineering, or a related field or foreign equivalent from a recognized university.
Databricks
At least 3 to 5 years of development experience on Databricks, Microsoft Fabric
Must possess a strong command of SQL and be able to write Stored Procedures, SSIS, T-SQL from scratch
Must have strong analytical skills and have strong attention to detail.
Be able to work independently and ensure strict timelines are met without continuous technical supervision
Knowledge of TDD and various concepts of testing and test automation tools e.g., Selenium is advantageous.
Experience in using cloud platform and configuration
Experience in programming with Python, C#, PowerShell
Good to have experience in designing and building data visualization dashboards.
Past consulting background and experience in working with business and technical stakeholders will be desirable
Candidates with team management experience will be considered for Team Lead role

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, Analytical Reasoning, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Communication, Documentation Development, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Intellectual Curiosity, Optimism, Performance Assessment, Performance Management Software, Problem Solving, Product Management, Product Operations, Project Delivery {+ 11 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Yes

Government Clearance Required?

Yes

Job Posting End Date

How we rate this

Data Engineer Consultant (Healthcare) at PwC rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Data Engineer Consultant (Healthcare) is an open job at PwC.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Singapore.
The job was posted on September 3, 2026.
Seniority: mid.
Applications are handled by PwC. Apply on PwC

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ETLData ModelingData WarehousingQaUnit TestingDatabricksMicrosoft FabricSQL

Also common in data engineer jobs at this level

AWS Spark Azure Airflow Google Cloud Snowflake

Pay

Typical data engineer job: $147k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where data modeling was part of your work. What did you do?
Tell me about a project where data warehousing was part of your work. What did you do?
Tell me about a project where qa was part of your work. What did you do?
Tell me about a project where unit testing was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: ETL, Data Modeling, Data Warehousing, Qa, and Unit Testing. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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