Data Engineer • Senior

Who you are

You have 5+ years of experience in data engineering, with a strong background in building and maintaining data pipelines that support analytics and machine learning initiatives. Your expertise in cloud environments, particularly AWS, allows you to design scalable solutions that handle large volumes of data efficiently.

You are proficient in SQL and have hands-on experience with databases such as PostgreSQL and BigQuery. Your familiarity with data orchestration tools like Airflow enables you to automate workflows and ensure data integrity across systems. You understand the importance of data quality and have implemented best practices to maintain it.

You possess strong programming skills in Python, which you use to develop data processing scripts and integrate various data sources. Your experience with Docker allows you to create reproducible environments for data applications, ensuring consistency across development and production.

You are a collaborative team player who enjoys working closely with product and data teams to transform raw data into actionable insights. Your ability to communicate complex technical concepts to non-technical stakeholders makes you an effective bridge between engineering and business needs.

Desirable

Experience with real-time data processing frameworks like Kafka is a plus, as is familiarity with Elasticsearch for search and analytics capabilities. Knowledge of machine learning concepts and frameworks will help you contribute to advanced analytics projects.

What you'll do

In your role as a Senior Data Engineer at Accurx, you will be responsible for architecting and scaling a robust data infrastructure that supports the communication needs of the NHS. You will design and implement data pipelines that handle massive event-driven communication flows, ensuring that data is structured and reliable for downstream analytics.

You will collaborate with product and data teams to transform healthcare communication data into high-performance models for analytics and machine learning. This involves working closely with data scientists to understand their requirements and providing them with the necessary data in a timely manner.

You will implement sophisticated ELT practices in a cloud environment, focusing on data integrity and performance optimization. Your role will also involve monitoring data flows and troubleshooting any issues that arise, ensuring that the data infrastructure remains robust and efficient.

You will have the opportunity to mentor junior data engineers, sharing your knowledge and best practices to help them grow in their roles. Your contributions will directly impact the quality of patient care by enabling faster and safer communication among healthcare professionals.

What we offer

At Accurx, you will be part of a mission-driven team that is dedicated to improving healthcare communication. We offer a competitive salary and benefits package, along with opportunities for professional development and growth. You will work in a collaborative environment where your ideas and contributions are valued, and you will have the chance to make a real difference in the lives of patients and healthcare providers alike.