A well-established
HealthTech SaaS provider
is engaging a contract
Power BI Engineer
to design and deliver a robust analytics and dashboarding capability across its platform.
This engagement will focus primarily on
Power BI engineering
, with the opportunity to contribute to
data engineering activities
as required.
Responsibilities:
Business Intelligence & Reporting
* Design, build, and maintain
high-quality Power BI dashboards and reports
.
* Develop scalable
semantic and data models
optimised for reporting and performance.
* Write and optimise
DAX expressions
and measures.
* Work with internal stakeholders to define KPIs, metrics, and reporting requirements.
* Ensure dashboards are performant, intuitive, and aligned with business needs.
* Support Power BI governance, access control, and best practices.
Data Engineering (Secondary Scope)
* Develop and maintain data pipelines feeding analytics and reporting layers.
* Write and optimise complex SQL queries.
* Support data modelling for analytical use cases.
* Improve data quality, reliability, and documentation.
* Collaborate with engineering teams on data architecture decisions.
Cloud Environment
* Work within an
AWS-hosted data environment
.
* Integrate Power BI with cloud-based data sources.
* Support scalable and secure data access patterns.
Required Experience
* Proven experience as a
Power BI Engineer / BI Developer
in a commercial environment.
* Power BI (datasets, reports, dashboards)
* DAX
* Data modelling (star/snowflake schemas)
* Advanced SQL capability
* Experience working with
cloud data platforms
(AWS preferred)
* Comfortable working in a product-led, stakeholder-facing environment
Desirable Experience
* Data engineering or analytics engineering background.
* Experience with AWS services such as RDS, S3, Redshift, or similar.
* Experience working in SaaS, HealthTech, or regulated industries.
* Familiarity with BI governance, data security, and role-based access.
Contract Highlights
* Greenfield and enhancement work on analytics capabilities.
* High autonomy and influence over BI design decisions.
* Opportunity to extend and broaden scope into data engineering.
* Long-term contract potential in a stable, growing product organisation.