Data Engineer: Databricks/PySpark, Hybrid & Growth

Kyndryl Inc.

Hoofddorp

Hybrid

EUR 70,000 - 110,000

Full time

6 days ago
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Benefits offered by this job

Be Well program
Hybrid-friendly culture

Job summary

Kyndryl Inc. is seeking a Data Engineer to design, build, and maintain scalable data pipelines on a cloud-based platform.

You will work with Databricks, PySpark, Python, and SQL to process structured and semi-structured data, implement Delta Lake, and optimize performance across Bronze/Silver/Gold layers. The role emphasizes hands-on development, data quality, and CI/CD support within a hybrid, Be Well-enabled environment.

Qualifications

  • Must have hands-on Databricks, PySpark, Python, and SQL experience.
  • Proficient in ETL/ELT development and Delta Lake.
  • Experience in building data pipelines and lakehouse architectures.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines.
  • Develop data-processing workloads using Databricks, PySpark, Python, and SQL.
  • Build ingestion and transformation pipelines for structured and semi-structured data.
  • Implement Delta Lake and Bronze/Silver/Gold architectures.
  • Perform data transformation, validation, and quality checks.
  • Optimize Databricks jobs, Spark workloads, and SQL queries.
  • Integrate data from multiple sources into enterprise platforms.
  • Develop and maintain pipeline orchestration and scheduling.
  • Implement monitoring, logging, and recovery mechanisms; support CI/CD.

Skills

Databricks
PySpark
Python
SQL
ETL/ELT
Delta Lake
Data pipelines

Tools

Azure Data Factory
ADLS Gen2
Azure Databricks
Airflow
Unity Catalog
CI/CD
Git
Terraform

Job description

Kyndryl Inc. is seeking a Data Engineer to design, build, and maintain scalable data pipelines on a cloud-based platform.

You will work with Databricks, PySpark, Python, and SQL to process structured and semi-structured data, implement Delta Lake, and optimize performance across Bronze/Silver/Gold layers. The role emphasizes hands-on development, data quality, and CI/CD support within a hybrid, Be Well-enabled environment.

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