National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Sr Data Engineer (hybrid working)

Insulet Corporation
Greater London
3 days ago
Create job alert

Insulet started in 2000 with an idea and a mission to enable our customers to enjoy simplicity, freedom and healthier lives through the use of our Omnipod® product platform. In the last two decades we have improved the lives of hundreds of thousands of patients by using innovative technology that is wearable, waterproof, and lifestyle accommodating.

We are looking for highly motivated, performance driven individuals to be a part of our expanding team. We do this by hiring amazing people guided by shared values who exceed customer expectations. Our continued success depends on it!

Position Overview:
Insulet Corporation, maker of the OmniPod, is the leader in tubeless insulin pump. TheSr Data Engineerrole is responsible for data lake infrastructure, development of automated data uploads and scripting for data cleansing and analytics. Reporting to the Director, Data Engineering you will develop tools and processes to transform data for use with Insulet’s Analytics team and senior technical leaders. We are a fast growing company that provides an energetic work environment and tremendous career growth opportunities.

Responsibilities:

Develop new and novel data architectures and pipelines and lead technical discussions to align stakeholders on the technical approach using Databricks. Work with cross functional stakeholders to accomplish data integrations, approvals, validation and deployment Mentor junior data engineering teammates and provide advice and feedback to management. Design, implementation and maintenance of Insulet’s data lake, warehouse and overall architecture Work with IT, analytics and cross functional teams to identify data sources, determine data collection and design aggregation mechanisms Perform data quality checks and data clean up Interface with business stakeholders in cross-functional teams, including manufacturing, quality assurance, and post-market surveillance in order to understand various applications and their data sets Develop data preprocessing tools as needed Maintenance and understanding of the various business intelligence tools used to visualize and report team analytics results to the company

Education and Experience:

Bachelors degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related STEM field is required Master’s degree in Mathematics, Computer Science, Electrical and Computer Engineering, or a closely related STEM field; or a BS with experience working with data technologies, is preferred Experience in data quality assurance, control and lineage for large datasets inrelational/non-relational databases Experience managing robust ETL/ELT pipelines for big real-world datasets that could include messy data, unpredictable schema changes and/or incorrect data types Experience with both batch data processing and streaming data Experience in implementing and maintaining Business Intelligence tools linked to an external data warehouse orrelational/non-relational databasesis required Experience in medical device, healthcare, or manufacturing industries is desirable HIPAA experience a plus

Skills/Competencies:

Demonstrated leadership in enterprise data literacy and data architecture Demonstrated knowledge in SQL/relational and noSQL databases is require Demonstrated knowledge of managing large data sets in the cloud (Azure/AWS SQL, Databricks, etc) is required Knowledge of ETL and workflow tools (Databricks workflows, Azure Data Factory, AWS Glue, etc) is a plus Demonstrated knowledge of building, maintaining and scaling cloud architectures (Azure, AWS, etc), specifically cloud data tools that leverage Spark, is required Demonstrated coding abilities in Python, Java, C or scripting language Demonstrated familiarity with different data types as inputs (e.g. CSV, XML, JSON, etc) Demonstrated knowledge of database and dataset validation best practice Ability to communicate effectively and document objectives and procedures

Insulet Corporation (NASDAQ: PODD), headquartered in Massachusetts, is an innovative medical device company dedicated to simplifying life for people with diabetes and other conditions through its Omnipod product platform. The Omnipod Insulin Management System provides a unique alternative to traditional insulin delivery methods. With its simple, wearable design, the tubeless disposable Pod provides up to three days of non-stop insulin delivery, without the need to see or handle a needle. Insulet’s flagship innovation, the Omnipod 5 Automated Insulin Delivery System, integrates with a continuous glucose monitor to manage blood sugar with no multiple daily injections, zero fingersticks, and can be controlled by a compatible personal smartphone in the U.S. or by the Omnipod 5 Controller. Insulet also leverages the unique design of its Pod by tailoring its Omnipod technology platform for the delivery of non-insulin subcutaneous drugs across other therapeutic areas. For more information, please visit insulet.com and omnipod.com.

We are looking for highly motivated, performance-driven individuals to be a part of our expanding team. We do this by hiring amazing people guided by shared values who exceed customer expectations. Our continued success depends on it!

Please read our Privacy Notice to learn how Insulet handles your personal information when you apply for a vacancy with us .

Related Jobs

View all jobs

Sr. Data Engineer

Sr Lead Data Engineer

Sr Lead Data Engineer

Sr Cloud Data Architect

Sr. Business Intelligence Engineer, Alexa International

Sr. Business Intelligence Engineer, GOX - Global Operational Excellence

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.