Data Engineer

Who is FluidAI?

FluidAI Medical is creating a paradigm shift in post-operative care, utilizing the plethora of data within the body, to help in the detection of post-operative complications at their onset. Our clinically validated platform sensing technology augments existing wound drains and catheters, providing healthcare providers with a smart monitoring tool that can support earlier detection of deadly complications and enhance the delivery of care.

We are an equal-opportunity employer and have a diverse team representation across language, ethnicity, gender and nationality.

Why join FluidAI Medical?

• Mission to save lives and improve patient care with revolutionary technology that's already deployed on patients in real-world settings.
• Work with a high-performing and cross-functional team that is empowered to grow, learn, and contribute across all levels of the organization.
• We are a team of passionate builders and boundary-breakers that are on a singular mission to disrupt how patient care is done. We aim to succeed and perform together - as a team and as individuals.
• Gain exposure across the entire technical stack, from novel sensing technologies and proprietary hardware to mobile/web software and ML algorithms.
• Personal career-focused development and training with access to workshops, coursework, and experienced mentors/consultants.

Data Engineer

FluidAI Medical is at the forefront of integrating data, technology, and healthcare to improve patient outcomes. Our platform generates rich, high-frequency clinical and operational data, and we are expanding our team to include a
Data Engineer
who can build robust data pipelines, enable and perform analytics, and translate complex data into actionable insights that support both clinical and business decision-making.

This role is ideal for a hands-on Data Engineer with strong
Python and SQL skills
, a solid foundation in
data engineering
, and the ability to build
analytics tools, KPIs, dashboards, and reporting solutions
. Experience working with
clinical or medical data
is highly preferred.

This position is remote but requires travel across the Middle East to collaborate with the FluidAI team and clients.

Responsibilities

• Design, build, and maintain scalable and reliable data pipelines that ingest, process, and transform data from multiple sources (devices, applications, databases, and external systems).
• Write clean, efficient, and production-grade
  Python
  code for data processing, automation, and analytics workflows.
• Develop and optimize complex
  SQL
  queries and data models to support analytics, reporting, and downstream applications.
• Build and maintain
  analytics tools
  , dashboards, and KPI frameworks that provide clear visibility into product performance, clinical outcomes, and business metrics.
• Partner with product, clinical, operations, and leadership teams to define key metrics, translate business and clinical questions into data requirements, and deliver actionable insights.
• Apply strong analytical thinking to explore datasets, identify trends, anomalies, and opportunities for improvement across the organization.
• Ensure data quality, consistency, and reliability through validation checks, monitoring, and documentation.
• Support experimentation, analysis, and reporting for pilots, deployments, and clinical studies where applicable.
• Create and maintain clear documentation for data pipelines, data models, KPIs, and analytics definitions to ensure alignment and scalability.
• Participate in sprint planning and Agile ceremonies, contributing to roadmap planning and prioritization from a data perspective.
• Collaborate closely with software, hardware, and ML teams to enable data access and analytics across the full technology stack.
• Follow best practices around data security, privacy, and compliance, especially when working with sensitive clinical and medical data.

Qualifications

• Strong hands-on experience as a
  Data Engineer
  , Analytics Engineer, or similar role.
• High proficiency in
  Python
  for data engineering, analytics, and data processing workflows.
• Advanced
  SQL
  skills, including complex joins, window functions, performance optimization, and data modeling.
• Experience working with
  cloud-based data warehousing and analytics platforms
  , such as
  Databricks, Snowflake, Amazon Redshift
  , or similar technologies.
• Experience with
  on-premise or hybrid data warehousing solutions
  , including technologies from
  Oracle, Microsoft (SQL Server, Azure Synapse), or comparable enterprise data platforms
  .
• Proven experience building
  dashboards, KPIs, and analytics solutions
  using BI or analytics tools (e.g., Looker, Tableau, Power BI, Metabase, Superset, or similar).
• Strong business and general analytics skills, with the ability to translate data into insights and recommendations for both technical and non-technical stakeholders.
• Experience designing
  data models and analytics layers
  that support scalable reporting and self-serve analytics.
• Experience working with
  time-series, sensor, operational, or high-volume datasets
  is a strong plus.
• Prior experience working with
  clinical, medical, or healthcare data
  is highly preferred.
• Familiarity with modern data stacks, APIs, ETL/ELT frameworks, and data orchestration tools is a plus.
• Fluent in English; Arabic is a strong plus. Ability to communicate insights clearly to diverse stakeholders.
• Must be able and willing to
  travel to Saudi Arabia for work, including extended periods of time
  .
• Comfortable working in cross-functional, fast-paced, and collaborative environments.
• Strong problem-solving mindset with a bias toward impact, ownership, and continuous improvement.

Application Process

Introductory phone call (~15 minutes).

Technical & analytics working session (~1 hour).

Final interview (~45 minutes).

Offer stage.

If you are passionate about using data to drive better healthcare outcomes and want to build analytics and data foundations that directly impact patient care, we would love to hear from you.