Staff Data Engineer Job at Adevinta (Amsterdam)

Staff Data Engineer

Adevinta

Location:
Netherlands , Amsterdam

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

In the Marktplaats data and analytics teams, data is at the heart of everything we do. As a Data Engineer of the Data Platform team at Marktplaats you will be relied on to independently develop and deliver high-quality features for our new Data/ML Platform, refactor and translate our data products and finish various tasks to a high standard. You will be the cornerstone of the platform’s reliability, scalability and performance, working hands on with batch and streaming data pipelines, storage solutions and APIs that serve complex analytical and ML workloads.The role encompasses ownership of the self-serve data platform, including data collection, lake management, orchestration, processing, and distribution.

Job Responsibility:

Independently develop and deliver high-quality features for our new Data/ML Platform
Refactor and translate our data products
Be the cornerstone of the platform’s reliability, scalability and performance
Work hands on with batch and streaming data pipelines, storage solutions and APIs
Encompass ownership of the self-serve data platform, including data collection, lake management, orchestration, processing, and distribution
Ensure data quality, schema governance and monitoring across pipelines
Collaborate in a small, fast moving team with high levels of autonomy and impact

Requirements:

10+ years of hands-on experience in Software Development/Data Engineering
Proven experience building cloud native data intensive applications (both real time and batch based)
Strong background in Data Engineering to support other Data Engineers, Back Enders and Data Scientists
Hands-on experience building and maintaining Spark applications (Python and PySpark)
Experienced in AWS Cloud usage and data management
Experience with orchestrators such as Airflow, Kubeflow & Databricks workflows
Solid experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Fundamental understanding of various Parquet, Delta Lake and other OTFs file formats
Proficiency on an IaC tool such as Terraform, CDK or CloudFormation
Experience with Databricks (Lakehouse, ML/MosaicAI, Unity Catalog, MLflow, Mosaic AI, model serving etc)
Data validation/analysis skills & proficiency in SQL
Strong written and verbal English communication skill

Nice to have:

Prior experience building and operating data platforms
AWS experience is preferred, GCP is good to have
Scala Spark is a plus

What we offer:

An attractive Base Salary
Participation in our Short-Term Incentive plan (annual bonus)
Work From Anywhere: up to 20 days a year of working from anywhere
A 24/7 Employee Assistance Program for you and your family
A range of locally relevant benefits

Additional Information:

Job Posted:
January 10, 2026

Employment Type:

Fulltime

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