Sr Data Engineer (hybrid working)
GB - United Kingdom (London - Office)
Insulet Corporation
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. The Sr Data Engineer role 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 in relational/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 or relational/non-relational databases is 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 here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS AWS Glue Azure Business Intelligence Computer Science CSV Databricks Data quality Data warehouse ELT Engineering ETL Java JSON Mathematics NoSQL Pipelines Privacy Python RDBMS Spark SQL STEM Streaming XML
Perks/benefits: Career development
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.