Senior Data & Analytics Engineer — Real‑Time Healthcare Platform

ERNI - Swiss Software Engineering; Barcelona; Hybrid; EUR 65,000 - 90,000; Full time

Job summary

ERNI - Swiss Software Engineering is seeking a senior data platform expert to design and implement scalable end-to-end data solutions for healthcare analytics. You will leverage Databricks, PySpark, SQL and Azure to build data pipelines, analytical models and business-facing data products that support near real-time and batch processing.

You will work in a hybrid model, collaborating with stakeholders, mentors and peers to drive architecture decisions, governance and observability across the

Qualifications

• Experience building cloud-based data solutions on Azure.
• Hands-on with Databricks, Spark/PySpark and SQL.
• Experience designing analytical data models and delivering business-facing data products.
• Strong experience with dashboards and reporting tools (Power BI/Tableau/Looker).
• Event-driven architectures and near real-time data processing.
• Involvement across ingestion, transformation, modeling and visualization.

Responsibilities

• Design, develop and evolve end-to-end data solutions from ingestion to analytics and visualization.
• Collaborate with business stakeholders to translate requirements into dashboards and data products delivering real value.
• Contribute to architecture decisions in greenfield environments and promote best practices in data engineering.

Skills

Cloud data solutions

Analytical data models

End-to-end data pipelines

Data lifecycle management

Tools

Databricks

PySpark

SQL

Azure

Power BI

Tableau

Looker

Job description

ERNI - Swiss Software Engineering is seeking a senior data platform expert to design and implement scalable end-to-end data solutions for healthcare analytics. You will leverage Databricks, PySpark, SQL and Azure to build data pipelines, analytical models and business-facing data products that support near real-time and batch processing.

You will work in a hybrid model, collaborating with stakeholders, mentors and peers to drive architecture decisions, governance and observability across the