AWS Data Engineer — Streaming & Lakehouse Lead (Hybrid)

Jobgether SRL; Netherlands; Hybrid; EUR 27,000 - 32,000; Full time

Benefits offered by this job

Restaurant meal benefits

Hybrid remote working model

Flexible working hours

Professional development opportunities

Job summary

Lever, Inc. is seeking a Software Data Engineer (AWS) based in the Netherlands to build scalable streaming and batch data pipelines supporting manufacturing operations.

You will work with Kafka, Flink, Spark Streaming, and lakehouse architectures on AWS, delivering end-to-end data solutions in a global industrial setting. You will take ownership from design through deployment, collaborate with international teams, and contribute to modernization of legacy data systems with CI/CD, IaC, and

Qualifications

• Master's degree in Computer Science, Computer Engineering, or related technical discipline.
• Strong programming and data engineering skills with Python and SQL.
• Hands-on experience building streaming data pipelines using Kafka/MSK and Flink or Spark Streaming.
• Practical experience with AWS services including EKS, Fargate, Lambda, S3, Aurora/RDS PostgreSQL, DynamoDB, and VPC.

Responsibilities

• Design and develop scalable streaming data pipelines using Kafka/MSK, Flink or Spark Streaming.
• Build batch transformations within a medallion lakehouse architecture (Bronze/Silver/Gold) on Amazon S3 with Iceberg/Parquet.
• Design and manage data storage across Aurora/RDS PostgreSQL, DynamoDB, and lakehouse storage.
• Deploy and maintain AWS infrastructure for data and ML workloads (EKS, Fargate, Lambda, S3, VPC).
• Refactor, optimize, and implement CI/CD, containerization, and deployment best practices.

Skills

Python

SQL

Data engineering

Communication

Education

Master's degree in CS/CE

Tools

Kafka/MSK

Flink

Spark Streaming

Docker

Terraform

Git

CI/CD

REST APIs

EKS

S3/Aurora/DynamoDB

Job description

Lever, Inc. is seeking a Software Data Engineer (AWS) based in the Netherlands to build scalable streaming and batch data pipelines supporting manufacturing operations.

You will work with Kafka, Flink, Spark Streaming, and lakehouse architectures on AWS, delivering end-to-end data solutions in a global industrial setting. You will take ownership from design through deployment, collaborate with international teams, and contribute to modernization of legacy data systems with CI/CD, IaC, and