At a Glance
- Tasks: Design and build scalable data architectures to enhance healthcare analytics and insights.
- Company: Proximie, a global leader in surgical technology and data solutions.
- Benefits: Generous leave, professional development stipend, flexible hours, and a supportive culture.
- Other info: Mentorship opportunities and a flat structure where your ideas matter.
- Why this job: Join a mission-driven team making a real impact on patient outcomes worldwide.
- Qualifications: 5+ years as a Data Engineer with AWS experience and strong Python/SQL skills.
The predicted salary is between 60000 - 80000 € per year.
Proximie’s engineering organization is the heartbeat of the company — designing and delivering products that drive measurable clinical and operational impact. Our platform empowers surgical teams around the world to improve patient outcomes, optimise operating room efficiency, and harness data for smarter, more connected surgery. As Proximie continues its global expansion, we are seeking a Senior Data Engineer to join our data engineering team. Our data has become 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 a Senior Data Engineer you’ll help shape the future of Proximie’s Data & Insights platform, ensuring our systems are robust, secure, and scalable to power analytics, AI, and data products used by hospitals worldwide.
Responsibilities
- Reporting to a Data Engineering Lead based in the UK, the Senior Data Engineer will be responsible for:
- 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).
- Collaborate closely with Data Scientists, Analysts, Product, and Customer Success teams to design reliable, well‑documented datasets and APIs that enable analytics, insights, and ML capabilities.
- 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 standardise coding conventions and CI/CD.
Requirements
- Bachelor’s degree in Computer Science, Mathematics, or related field (or equivalent practical experience).
- Minimum of 5+ years as a Data Engineer with experience developing and supporting with data lakes, warehouses preferably on AWS.
- Extensive experience designing, deploying, and maintaining data infrastructure on AWS (or equivalent), including data lakes, warehouses, and real‑time 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 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.
- Building REST/GraphQL APIs.
Benefits
- You will be encouraged to grow in your role, take ownership and gain responsibilities.
- Proximie’s values are Ownership, Deliver Results, Build Trust and Go Beyond.
- 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.
- 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 organisational 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, and the Middle East where 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.
Senior Data Engineer, UK employer: Democrance
Proximie is an exceptional employer that fosters a culture of innovation and collaboration, empowering employees to take ownership of their roles while contributing to meaningful advancements in healthcare technology. With generous benefits including flexible working hours, professional development stipends, and a commitment to employee well-being, Proximie offers a supportive environment where every voice is valued. As a global company with a flat organisational structure, employees have the unique opportunity to work alongside diverse teams and make a tangible impact on patient outcomes worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer, UK
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Proximie. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This gives you a chance to demonstrate your expertise in AWS, Python, and SQL, making you stand out from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss how you’ve tackled challenges in data architecture and pipeline management, as well as how you collaborate with teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Proximie team!
We think you need these skills to ace Senior Data Engineer, UK
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with AWS, data pipelines, and any relevant projects that showcase your skills in data architecture and analytics.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're passionate about data engineering and how you can contribute to Proximie's mission. Share specific examples of your past work that align with our goals in healthcare and data protection.
Showcase Your Technical Skills:Don’t forget to mention your technical proficiencies! Include your experience with Python, SQL, and any tools like dbt or Airflow. We want to see how you can help us build robust data solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Democrance
✨Know Your Data Tools
Make sure you’re well-versed in the data technologies mentioned in the job description, like AWS services, Python, and SQL. Brush up on your experience with data lakes and real-time pipelines, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Proximie values innovative solutions, so think of examples where you designed scalable architectures or improved data processes.
✨Understand Compliance and Security
Since the role involves healthcare data, be ready to talk about your knowledge of HIPAA, GDPR, and data protection regulations. Highlight any experience you have with data access controls and encryption, as this is crucial for the position.
✨Collaboration is Key
Proximie emphasises teamwork, so prepare to discuss how you’ve collaborated with data scientists, analysts, and other teams. Share examples of how you’ve contributed to projects that required cross-functional cooperation and communication.