Context & Purpose
We’re seeking a motivated and reliable Senior BI Developer to help drive the next phase of Evergreen Life’s data capability.
Evergreen Life is a digital health platform dedicated to helping individuals better understand and manage their health through secure digital records, actionable insights, and partnerships with healthcare organisations. Data is at the heart of how we deliver value to our customers and partners.
Our approach centres on data to inform decisions, supplying precise metrics so teams can confidently access insights and utilise dashboards autonomously. We emphasise simple data solutions that eliminate intricate coding requirements, allowing more employees to oversee and optimise the platform. By relying on configuration-driven adjustments, we swiftly tailor the system to business demands, making updates seamless and ensuring our data infrastructure remains adaptable as we expand.
Working across AWS and Azure, you will help shape a modern analytics environment using technologies such as PowerBI, cloud data warehouses, document databases and cloud data lakes like S3, Azure Storage or Fabric OneLake. Simplicity and ease of maintenance are at the core of our approach, ensuring that the platform can be managed and enhanced without requiring advanced engineering skills.
You’ll play a crucial role in developing reliable analytics datasets, reporting solutions and streamlined data pipelines using modern ELT tools. Your efforts will help Evergreen Life scale its analytics capability while delivering meaningful insights to the business and our customers.
This is an opportunity to make a significant impact on the company and, ultimately, on the health and wellbeing of 3 million (and growing) Evergreen Life users.
Your responsibilities
Here’s what you’ll get up to on a day-to-day basis:
- Lead the development of trusted analytics datasets and reporting solutions that support operational teams and business decision making.
- Data design, operational analytics, modelling, tuning, architecture, and governance
- Design and maintain reliable data transformation and ELT pipelines using modern cloud tooling such as Azure Data Factory or similar platforms.
- Help simplify and improve existing data workflows, including Python-based pipeline orchestration.
- Develop and maintain PowerBI semantic models, dashboards and reporting solutions, enabling teams across the organisation to self-serve insights.
- Work with data sources including document databases, relational databases, data warehouses and cloud data lakes.
- Ensure analytics datasets and pipelines are accurate, performant and capable of incremental data processing.
- Monitor and improve the performance and reliability of queries, data pipelines and reporting workloads.
- Support the delivery of embedded analytics used by customers and partners.
- Contribute to tooling selection, vendor management and architecture decisions, ensuring solutions deliver value for money.
- Promote a buy-before-build approach, favouring proven cloud services and usage-based tooling where appropriate.
- Support secure access to data, working with identity and access controls such as EntraID and role-based access models.
- Integrate with external platforms through API consumption and data exchange with third-party services.
- Work collaboratively with product, engineering and operational teams to deliver insights that improve the experience of Evergreen Life users.
Your skills
The below skills are what you will make use of in your day-to-day work. Don’t worry too much if you don’t tick every box – we’re mainly interested in how you work, not just what you know.
Core proficiencies & ideal experience
- Strong experience working in data analytics or analytics engineering roles
- Excellent SQL, data modelling and analytical problem-solving skills
- Strong experience delivering dashboards and analytics using Power BI
- Experience working with cloud-based data platforms and analytics environments
- Strong communication skills and the ability to translate data into meaningful insights
- Ability to design and maintain reliable data pipelines and incremental data processing approaches
- Experience optimising query performance and reporting workloads
- Experience working with structured and semi-structured data sources
Experience with technologies such as
- Data warehouses, databases and storage platforms
Examples may include Redshift, MongoDB Atlas, MySQL/MariaDB, S3, Azure Storage or Fabric OneLake
- Modern data integration and ELT tooling
Similar experience gained from using Azure Data Factory, AWS Glue, Apache Airflow, Matillion
- Cloud analytics and reporting tools
Examples may include PowerBI, Tableau or similar platforms
Desirable experience
- Experience working with EntraID authentication and RBAC security models
- Experience integrating external APIs or data services
- Experience evaluating data tooling and vendor solutions
- Experience working in health technology, healthcare or regulated data environments
Benefits
Evergreen Life Standard Benefits Package
