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Data Engineer

Abbott

Data Engineer

full-timePosted: Jan 12, 2026

Job Description

About the Role

We are looking for a Data Engineer passionate about building robust and scalable data solutions. In this role, you will design and implement data architectures and pipelines that enable efficient processing, integration, and visualization to support business objectives. You will collaborate closely with technology and engineering teams to deliver high-quality, innovative solutions.

Location: Weesp, The Netherlands. This is an office based position.

Key Responsibilities

  • Design and implement data pipelines for various projects and initiatives.
  • Develop and maintain optimal pipeline architecture using AWS native services.
  • Design and optimize data models on AWS Cloud with Databricks, Redshift, RDS, and S3.
  • Integrate and assemble large, complex datasets to meet diverse business requirements.
  • Perform ETL processes: read, transform, stage, and load data into selected tools and frameworks.
  • Customize and manage integration tools, databases, warehouses, and analytical systems.
  • Enhance internal Python libraries for pipeline development.
  • Monitor and optimize data performance, uptime, and scalability.
  • Create architecture and design documentation and contribute to best practices.
  • Participate in technical planning, design, and peer code reviews.
  • Stay current with emerging trends and recommend innovative solutions.

Qualifications

Must-have:

  • Bachelor’s degree in Computer Science, IT, or a related field.
  • Minimum 3 years of experience in Data Engineering or Software Engineering.
  • Hands-on experience with AWS, Databricks, and/or Spark.
  • Strong programming skills in Python, ideally PySpark or Kafka.
  • Knowledge of strategies for processing large volumes of structured and unstructured data, including multi-source integration.
  • Experience with data cleaning, wrangling, visualization, and reporting.
  • Excellent communication skills and ability to work effectively in a distributed team.
  • Fluent in English, written and spoken.

Nice-to-have:

  • Experience developing Power BI reports.
  • Familiarity with BI applications, data quality, and performance tuning.
  • Ability to communicate in Dutch, German or Spanish.

We are looking for

A proactive and independent Data Engineer who thrives in a global environment. You are not only technically skilled but also an excellent communicator who can build strong relationships across teams and regions. Collaboration is key in this role, so you should be comfortable working with diverse stakeholders and aligning technical solutions with business objectives. Your ability to work autonomously, adapt to change, and maintain clarity in complex situations will set you apart.

Why Join Us?

You’ll work with cutting-edge technologies, complex data solutions, and an international team that values innovation and collaboration. We offer a dynamic environment with opportunities for professional growth and impact.

Ready to make an impact?
Apply today and help us drive data-driven decision-making! Make sure to include your CV and cover letter.

Locations

  • Weesp, North Holland, Netherlands

Salary

Estimated Salary Rangemedium confidence

75,000 - 135,000 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • AWS native servicesintermediate
  • Databricks, Redshift, RDS, S3intermediate
  • Python, PySpark, Kafkaintermediate
  • ETL processesintermediate
  • Data modelingintermediate
  • Data cleaning and wranglingintermediate
  • Power BI (nice-to-have)intermediate

Required Qualifications

  • Bachelor’s degree in Computer Science, IT or related (experience)
  • 3+ years Data Engineering/Software Engineering experience (experience)
  • Hands-on AWS, Databricks/Spark experience (experience)
  • Fluent English (experience)

Responsibilities

  • Design and implement data pipelines
  • Develop pipeline architecture on AWS
  • Integrate large datasets
  • Perform ETL processes
  • Monitor data performance
  • Create documentation
  • Participate in code reviews

Benefits

  • general: Work with cutting-edge technologies
  • general: Professional growth opportunities
  • general: Dynamic international team

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Abbott logo

Data Engineer

Abbott

Data Engineer

full-timePosted: Jan 12, 2026

Job Description

About the Role

We are looking for a Data Engineer passionate about building robust and scalable data solutions. In this role, you will design and implement data architectures and pipelines that enable efficient processing, integration, and visualization to support business objectives. You will collaborate closely with technology and engineering teams to deliver high-quality, innovative solutions.

Location: Weesp, The Netherlands. This is an office based position.

Key Responsibilities

  • Design and implement data pipelines for various projects and initiatives.
  • Develop and maintain optimal pipeline architecture using AWS native services.
  • Design and optimize data models on AWS Cloud with Databricks, Redshift, RDS, and S3.
  • Integrate and assemble large, complex datasets to meet diverse business requirements.
  • Perform ETL processes: read, transform, stage, and load data into selected tools and frameworks.
  • Customize and manage integration tools, databases, warehouses, and analytical systems.
  • Enhance internal Python libraries for pipeline development.
  • Monitor and optimize data performance, uptime, and scalability.
  • Create architecture and design documentation and contribute to best practices.
  • Participate in technical planning, design, and peer code reviews.
  • Stay current with emerging trends and recommend innovative solutions.

Qualifications

Must-have:

  • Bachelor’s degree in Computer Science, IT, or a related field.
  • Minimum 3 years of experience in Data Engineering or Software Engineering.
  • Hands-on experience with AWS, Databricks, and/or Spark.
  • Strong programming skills in Python, ideally PySpark or Kafka.
  • Knowledge of strategies for processing large volumes of structured and unstructured data, including multi-source integration.
  • Experience with data cleaning, wrangling, visualization, and reporting.
  • Excellent communication skills and ability to work effectively in a distributed team.
  • Fluent in English, written and spoken.

Nice-to-have:

  • Experience developing Power BI reports.
  • Familiarity with BI applications, data quality, and performance tuning.
  • Ability to communicate in Dutch, German or Spanish.

We are looking for

A proactive and independent Data Engineer who thrives in a global environment. You are not only technically skilled but also an excellent communicator who can build strong relationships across teams and regions. Collaboration is key in this role, so you should be comfortable working with diverse stakeholders and aligning technical solutions with business objectives. Your ability to work autonomously, adapt to change, and maintain clarity in complex situations will set you apart.

Why Join Us?

You’ll work with cutting-edge technologies, complex data solutions, and an international team that values innovation and collaboration. We offer a dynamic environment with opportunities for professional growth and impact.

Ready to make an impact?
Apply today and help us drive data-driven decision-making! Make sure to include your CV and cover letter.

Locations

  • Weesp, North Holland, Netherlands

Salary

Estimated Salary Rangemedium confidence

75,000 - 135,000 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • AWS native servicesintermediate
  • Databricks, Redshift, RDS, S3intermediate
  • Python, PySpark, Kafkaintermediate
  • ETL processesintermediate
  • Data modelingintermediate
  • Data cleaning and wranglingintermediate
  • Power BI (nice-to-have)intermediate

Required Qualifications

  • Bachelor’s degree in Computer Science, IT or related (experience)
  • 3+ years Data Engineering/Software Engineering experience (experience)
  • Hands-on AWS, Databricks/Spark experience (experience)
  • Fluent English (experience)

Responsibilities

  • Design and implement data pipelines
  • Develop pipeline architecture on AWS
  • Integrate large datasets
  • Perform ETL processes
  • Monitor data performance
  • Create documentation
  • Participate in code reviews

Benefits

  • general: Work with cutting-edge technologies
  • general: Professional growth opportunities
  • general: Dynamic international team

Target Your Resume for "Data Engineer" , Abbott

Get personalized recommendations to optimize your resume specifically for Data Engineer. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Data Engineer" , Abbott

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score
Quiz Challenge

Answer 10 quick questions to check your fit for Data Engineer @ Abbott.

10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.