Talantix.io
Doghouse Recruitment•28.01.26
AI SCORE 8.5

Medior Data Engineer - Python & AWS (Hybrid)

$75K/year
HybridMedTechWWVisaRelocation
Python•AWS•ETL•ELT•DataOps•Polars•Pandas•PySpark

About the Role

We are looking for a Medior Data Engineer to join our team at a fast-growing MedTech scale-up in Utrecht. This Medior Data Engineer role offers the opportunity to work with cutting-edge technology and make a significant impact in the healthcare sector. As a Medior Data Engineer, you will turn real-world device data into insights that shape patient care, all while working in a hybrid setup.

What You'll Do

  • Design and maintain production-grade ETL and ELT pipelines to support operational insights and long-term product performance.
  • Develop Python-based data pipelines using modern libraries like Polars, Pandas, and PySpark.
  • Run data pipelines in containerized environments and integrate them with AWS orchestration services.
  • Collaborate with a Senior Data Engineer to enhance performance and robustness of data systems.
  • Investigate data issues and extend automated quality checks to ensure data reliability.
  • Translate business requirements into clean datasets and clear dashboards for stakeholders.

Requirements

  • 2+ years of experience in data engineering.
  • Strong Python skills and familiarity with modern data tooling such as Polars, Pandas, PyArrow, or PySpark.
  • Experience with AWS, containers, or DataOps practices.
  • Hands-on experience with ETL or ELT pipelines in a data lake or lakehouse environment.
  • Excellent communication skills and the ability to work in a regulated environment.

Nice to Have

  • Experience with data visualization tools.
  • Knowledge of machine learning concepts.
  • Familiarity with Agile methodologies.

What We Offer

  • A competitive salary of up to €75K.
  • Hybrid working setup allowing for flexibility.
  • Visa and relocation support, including HSM eligibility and the 30% ruling.
  • Opportunities for professional growth and development.
  • A collaborative and innovative work environment.
Language Requirements
EnglishB2
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This Medior Data Engineer position offers a unique opportunity to work in a fast-growing MedTech company, making a real impact in patient care. With a competitive salary and hybrid work setup, it's an attractive role for data professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

About Doghouse Recruitment

Explore exciting Doghouse Recruitment careers in 2026. Discover a range of remote, hybrid, and office roles tailored to your skills. Utilize our advanced filters, application tracking, and company insights to find your perfect position. Stay updated with industry news and seize career opportunities at Doghouse Recruitment. Start your journey today and unlock your potential with us!

Industry
Tech
Location
On-site

Who Will Succeed Here

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Proficient in Python with hands-on experience in data manipulation libraries such as Pandas and Polars, enabling efficient data processing and transformation.

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Strong understanding of AWS services like S3, Lambda, and Redshift for building scalable ETL pipelines, with a mindset geared towards leveraging cloud technologies for data solutions.

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Experience with DataOps methodologies, fostering a culture of collaboration and automation in data engineering practices, while being adaptable to hybrid work environments.

Learning Resources

→Python for Data Science Handbookguide
→AWS Data Engineering on Udemycourse
→PySpark Documentationarticle

Career Path

Medior Data Engineer - Python & AWS(Now)→Senior Data Engineer(1-2 years)→Lead Data Engineer or Data Architect(3-5 years)

Market Overview

Market Size 2024
$15.2B
Annual Growth
11.5%
AI Adoption
60%
Investment
+35%
Labour Demand
+20%
Avg Salary
$120K

Skills & Requirements

Required
PythonAWSETL
Growing in Demand
Machine LearningData Visualization (e.g., Tableau, Power BI)Apache Kafka
Declining
Hadoop MapReduceSQL Server Integration Services (SSIS)

Domain Trends

Rise of DataOps
DataOps is gaining traction as companies seek to improve data flow and collaboration, with 70% of organizations investing in DataOps practices by 2025.
Increased Use of Cloud Data Warehousing
The cloud data warehousing market is projected to grow by 25% annually, with AWS Redshift and Snowflake leading the adoption among enterprises.
Integration of AI in Data Processing
Over 50% of data engineering teams are expected to integrate AI tools to automate ETL processes, significantly reducing data preparation time.

Industry News

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