Design, implement and document data architecture and enterprise data models for a specialty insurer in the London Market using Azure Databricks.
Compensation
A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.
Responsibilities
Design lakehouse architecture on Azure Databricks using Delta Lake and the Medallion pattern
Design and apply dimensional models such as star and snowflake schemas
Create and maintain conceptual, logical and physical data models
Optimize platform performance and cost
Manage model lifecycle and recommend reuse
Requirements
Bachelor’s degree or equivalent experience
Nice to have: Databricks certification
Nice to have: Gold-layer semantic models for Power BI
This hybrid Data Engineer role focuses on designing and optimizing Databricks SQL and PySpark solutions for complex payer and Medicare Medicaid claims processing.
Responsibilities
Design scalable Databricks SQL and PySpark solutions that process large volumes of payer and Medicare Medicaid claims data to ensure reliable analytics outputs
Develop robust data pipelines that ingest, transform and aggregate claims information to support timely decision making for healthcare operations
Optimize PySpark jobs and Databricks SQL queries to improve runtime performance, stability and cost efficiency across the hybrid cloud environment
Implement reusable data models and curated datasets tailored for claims adjudication analytics, risk scoring and operational reporting needs
Collaborate with business and product stakeholders to translate payer and claims requirements into detailed technical solutions that align with organizational goals
As a Data Analyst - Associate you will analyze client needs, support operational process reviews, and help develop practical solutions that improve productivity, quality, and efficiency within our Operations Consulting practice.
Responsibilities
Analyzing large healthcare operational datasets to identify trends, performance metrics, and financial insights.
Building analytics datasets and data models in Databricks (Delta tables, Silver and Gold layers) using SQL, PySpark, and Python.
Extracting and transforming data using SQL on SQL Server and Databricks SQL
Rebuilding existing SQL-based logic as Databricks datasets and validating results against current outputs.
Supporting data pipelines and ETL/ELT processes that feed analytics and reporting, including data on Amazon S3.
The primary purpose of this position is to support healthcare revenue cycle operations by defining the metrics, analyzing operational data, building dashboards, and delivering business insights that improve operational performance and decision-making.
Responsibilities
Gathering requirements from operations and client stakeholders, and defining KPIs and metrics
Analyzing operational datasets using SQL (SQL Server, MySQL) and Databricks SQL to extract and interpret data
Developing interactive dashboards and reports using Power BI
Creating and modifying Power BI data models, Power Query transformations, and DAX calculations
Translating analytical insights into actionable business recommendations and operational improvements
Requirements
BE/BTECH
ME/MTECH
MBA
BCA/MCA
Nice to have: Microsoft Power BI Data Analyst certification (PL-300)
Lead Data Engineer / Data Product Lead – Snowflake
Compensation
Pay Rate: C$60.00–C$80.00 / Hour (CAD)
Responsibilities
Own one or more enterprise data products across architecture, design, development, testing, deployment, and ongoing enhancement.
Design and build scalable data solutions using Databricks, PySpark, Spark SQL, Delta Lake, and Python.
Contribute to architecture across data ingestion, transformation, medallion/lakehouse layers, semantic models, data quality, lineage, and downstream consumption.
Partner with Product Owners, architects, business stakeholders, analytics teams, and engineering leads to translate requirements into scalable technical solutions.
Design reusable and modular data models that support evolving reporting and analytical requirements.
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