Senior Data Engineer

Five billion people in the world do not have access to safe and affordable surgery, and this is a problem everywhere, not just in developing countries. Proximie is on a mission to improve healthcare by transforming the world’s operating rooms into connected ecosystems of people, devices, and data.

Proximie’s advanced telepresence and cloud data solutions ensure seamless information flow in and out of the operating room (OR). Once collected, this data becomes a “single source of truth,” allowing healthcare professionals to utilize powerful analytics to identify patterns, trends, and bottlenecks, as well as uncover optimization opportunities.

Proximie empowers medical device companies and healthcare organizations with operating room intelligence to drive productivity and innovation.

Our key solution areas are:

Real-time Connectivity: Be in the operating room from anywhere.
Unified Data: Creating a single source of truth in the OR.
Analytics and Insight: Turning incisive insight into decisive results.
Video Library: Learn more from every procedure.

Proximie was Founded in 2016 by Dr. Nadine Hachach Haram, an NHS surgeon and is headquartered in London with offices in the United States and Lebanon. Proximie has 100 employees today and is deployed in over 50 countries.

Check out Nadine’s Origins Story here: https://www.proximie.com/about-us/

Position Overview

We are hiring a senior data engineer based in Beirut to join Proximie’s data engineering team. As we grow as a company, our data becomes more important than ever. We need to utilise it to make analytical decisions, store it securely, move it between different systems, all the while ensuring that we adhere to healthcare and data protection regulations. As an AWS partner it is important that the senior data engineer has experience having worked with the cloud provider before, preferably building data lakes and building data pipelines on it.

Responsibilities

• Design, evolve and future-proof scalable data architectures to meet performance, cost, and reliability goals.
• Build and orchestrate resilient batch and real-time data pipelines.
• Data modelling & cataloguing including;
  • Performance Tuning in various technologies (e.g. Spark, Presto, Athena, Postgres)
  • Build automated testing frameworks including implement anomaly detection and validation checks (e.g. with Great Expectations).
• Monitoring & Incident Response including;
  • Enforce data access controls, encryption at rest/in transit, PII masking/anonymization, and collaborate on HIPAA/GDPR (or equivalent) compliance.
  • Manage and version cloud infrastructure using IaC tooling (e.g. Terraform)
• Partner with Data Scientists, Analysts, Product and Business teams to translate requirements into data solutions.
• Drive development of customer-facing data products—APIs, timelines, dashboards—and support machine-learning data pipelines.
• Mentor junior engineers, champion best practices, document architectures/runbooks/data dictionaries, and standardize coding conventions and CI/CD.

Key Requirements

• BSc in Computer Science or equivalent.
  
• Minimum of 5+ years as a Data Engineer with experience developing and supporting with data lakes, warehouses preferably on AWS.
• Experience designing and building robust data pipelines.
• Experience across a variety of AWS products such as S3, Glue, EMR, Lambda, Aurora or equivalents
• Professional software development experience with Python and SQL
• Able to work as a team to deliver against requirements in a collaborative and agile way.

Desirable Requirements

• Certification from a major cloud provider, ideally AWS Certified Solutions Architect
• Data visualisation experience.
• Experience in creating data systems compliant with HIPAA, GDPR and related frameworks.
• Experience of testing, CI and monitoring data-driven applications.
• Experience working with third-party APIs.
• Experience with dbt, Snowflake or DataBricks.
• Experience with orchestration tools e.g., Airflow.
• Experience with messaging and event-processing platforms.
• Experience with Terraform.
• Building REST/GraphQL APIs.

Why Work for Proximie?

• You will be encouraged to grow in your role, take ownership and gain responsibilities.
• Generous annual leave.
• Two “well-being” days per year plus the day off for your birthday.
• “Summer Fridays” – early office closing on Fridays during summer months.
• Bi-annual bonus programme – based on individual contribution.
• To support your professional growth, all permanent employees will have access to an annual stipend of $1,000 to assist with personal development activities.
• Flexible working hours - we trust our people to manage their time and to focus on wider results.
• A flat organizational structure where every opinion matters, ideas are cultivated, and innovation is encouraged.
• Proximie is a truly global company with teams across the UK, Europe, United States, Middle East, and Australia - with that you will have opportunities to see the world.

Proximie is an equal opportunity employer. We are committed to providing a work environment that supports, inspires, and respects all individuals. We do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under the law.