Data Engineer at Medtronic

Heerlen, Limburg, Netherlands

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent work experience). Master’s degree is a bonus
3+ years of hands-on experience in data engineering or related roles
Experience building and optimizing data pipelines, architectures, and data sets. Strong understanding of ETL/ELT concepts and best practices
Proficient in SQL and relational databases (e.g., PostgreSQL, MySQL, Oracle)
Knowledge of data warehousing solutions (e.g., Snowflake)
Experience with big data processing frameworks (e.g., Apache Spark, Hadoop)
Experience with data transformation, metadata management, dependencies, and workload orchestration
Hands-on experience with cloud data services (e.g., AWS Glue, Azure Data Factory, GCP Dataflow)
Familiarity with scripting languages such as Python (required), Scala, or Java
Comfortable with shell scripting and command-line tools (e.g., Bash, CLI)
Experience with version control systems, especially Git, including Git user interfaces (e.g., GitHub, GitLab)
Experience using LLMs and agentic tools for process automation
Strong analytical and problem-solving skills
Effective verbal and written communication skills
Customer-focused mindset with the ability to adapt to evolving needs
Collaborative, proactive, and able to build trust with both internal and external stakeholders
Comfortable navigating ambiguity and solving complex, large-scale problems
Curious, resilient, and motivated to continuously improve and explore new solutions
Desirable Qualifications
Experience with containerization and orchestration (Docker, Kubernetes)
Familiarity with real-time data streaming

Responsibilities

Design & Build Data Pipelines: Architect, implement, and optimize ETL/ELT processes to ingest data from various sources (databases, APIs, streaming systems)
Data Modelling: Develop and maintain logical and physical data models in data warehouses/lakes like AWS S3 & Athena or Oracle
Deploy and manage data infrastructure on cloud platforms (AWS, Azure, or GCP) using IaC tools to ensure scalability, reliability and cost efficiency
Data Quality & Governance: Implement data validation, monitoring, and alerting frameworks to ensure accuracy, consistency, and security of data assets
Collaboration & Documentation: Understand requirements, translate business needs into technical solutions, and document data schemas, pipeline designs, and best practices
Explore and integrate innovative data tools, including LLMs and agentic systems, into the existing data ecosystem to enhance analytics and automation

Skills

ETL

ELT

AWS

Athena

Oracle

Azure

GCP

IaC

Data Modeling

Data Pipelines

LLMs

Medtronic

Develops and manufactures medical devices and therapies

About Medtronic

Medtronic provides medical technology, services, and solutions to improve patient care. The company develops a variety of medical devices, including pacemakers, insulin pumps, surgical tools, and neurostimulation devices, which help diagnose, prevent, and treat chronic diseases. These products are used by hospitals, clinics, and healthcare professionals around the world. Medtronic stands out from competitors by investing significantly in research and development to create new products and offering additional services like training and patient management programs. The goal of Medtronic is to enhance patient outcomes and lower healthcare costs through its comprehensive range of medical solutions.

Fridley, MinnesotaHeadquarters

1949Year Founded

$3.2MTotal Funding

IPOCompany Stage

Biotechnology, HealthcareIndustries

10,001+Employees