Senior Data Engineer in Camden Town

Senior Data Engineer in Camden Town

Camden Town Full-Time 36000 - 60000 ÂŁ / year (est.) No home office possible
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Proximie Limited

At a Glance

  • Tasks: Design and build scalable data architectures to enhance healthcare analytics.
  • Company: Proximie, a pioneering tech company transforming operating rooms globally.
  • Benefits: Generous leave, flexible hours, professional development stipend, and summer Fridays.
  • Why this job: Join a mission-driven team improving patient outcomes with cutting-edge technology.
  • Qualifications: 5+ years as a Data Engineer with AWS experience and strong Python skills.
  • Other info: Collaborative culture with opportunities for global exposure and career growth.

The predicted salary is between 36000 - 60000 ÂŁ per year.

Proximie is on a mission to improve healthcare by transforming the world’s operating rooms into connected ecosystems of people, devices, and data. Our Intelligence Suite transforms operating room (OR) performance, keeping teams in sync and workflows on track to maximise throughput. Simultaneously our computer vision and AI capabilities capture real-time data and detect surgical events – improving quality of data outputs. The result: ORs are optimised like never before – with predictive analytics and automated notifications ensuring patients and staff are in the right place at the right time. Once practitioners are in the OR, our Surgical Suite enables real-time remote access and creates a secure video record of every procedure; improving training, education, and collaboration. It is an intuitive asset which helps instil a culture of continuous learning, accelerates the adoption of cutting-edge medical devices, and enhances surgical performance across the entire global workforce – improving outcomes and saving lives. Proximie was commercialised in 2019 and is available in over 800 facilities globally.

Position Overview

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, optimize 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 standardize 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.

    Why Work for Proximie?

    • 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 ÂŁ1,000 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 and the Middle East 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.

    Senior Data Engineer in Camden Town employer: Proximie Limited

    Proximie is an exceptional employer that fosters a culture of continuous learning and innovation, empowering employees to take ownership of their roles while contributing to meaningful advancements in healthcare. With generous benefits such as flexible working hours, well-being days, and a personal development stipend, Proximie supports professional growth and encourages collaboration across its global teams. Join us in transforming operating rooms worldwide and be part of a mission that truly saves lives.
    Proximie Limited

    Contact Detail:

    Proximie Limited Recruiting Team

    StudySmarter Expert Advice 🤫

    We think this is how you could land Senior Data Engineer in Camden Town

    ✨Tip Number 1

    Network like a pro! Reach out to current employees at Proximie on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. It’s all about making connections!

    ✨Tip Number 2

    Prepare for technical interviews by brushing up on your data engineering skills. Practice coding challenges and be ready to discuss your past projects in detail. Show us how you’ve tackled real-world problems with data!

    ✨Tip Number 3

    Don’t forget to showcase your soft skills! Proximie values collaboration, so be ready to discuss how you work in teams, mentor others, and contribute to a positive work culture. We want to see your personality shine through!

    ✨Tip Number 4

    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. Let’s make it happen!

    We think you need these skills to ace Senior Data Engineer in Camden Town

    Data Architecture Design
    Batch and Real-Time Data Pipelines
    Data Modelling
    Performance Tuning
    Automated Testing Frameworks
    Anomaly Detection
    Data Access Controls
    Encryption Techniques
    Cloud Infrastructure Management
    Infrastructure as Code (IaC)
    Collaboration with Data Scientists and Analysts
    API Development
    Mentoring Junior Engineers
    AWS Services (S3, Glue, EMR, Lambda, Aurora)
    Python and SQL Programming

    Some tips for your application 🫡

    Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data lakes, AWS, and any relevant projects that showcase your skills in building scalable data architectures.

    Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about improving healthcare through data engineering and how your background aligns with Proximie's mission.

    Showcase Your Technical Skills: Don’t forget to mention your technical expertise! Include specific tools and technologies you’ve worked with, like Python, SQL, and AWS services, to demonstrate your fit for the role.

    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 this exciting opportunity at Proximie!

    How to prepare for a job interview at Proximie Limited

    ✨Know Your Data Tools

    Familiarise yourself with the specific data technologies mentioned in the job description, like AWS services, Python, and SQL. Be ready to discuss your experience with these tools and how you've used them to solve real-world problems.

    ✨Showcase Your Problem-Solving Skills

    Prepare examples of how you've designed scalable data architectures or built resilient data pipelines in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your impact.

    ✨Understand Compliance and Security

    Since Proximie operates in the healthcare sector, brush up on HIPAA and GDPR regulations. Be prepared to discuss how you’ve ensured data security and compliance in your past projects, as this will be crucial for the role.

    ✨Collaborate and Communicate

    Emphasise your ability to work in a team and communicate effectively with cross-functional teams. Think of examples where you collaborated with data scientists or product teams to deliver successful projects, as teamwork is key at Proximie.

    Senior Data Engineer in Camden Town
    Proximie Limited
    Location: Camden Town
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