Husqvarna Group

Senior Data Engineer

Husqvarna Group

part-time

Posted on:

Location Type: Hybrid

Location: Huskvarna • Sweden

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Job Level

Senior

Tech Stack

AWSAzureCloudPySparkPythonTerraform

About the role

  • Monitor and operate pipelines to ensure reliability, performance and cost-efficiency
  • Own security and backups across cloud accounts and environments
  • Build and maintain pipelines, run proof-of-concepts, evaluate new tools, and help squads solve development, security and operational issues
  • Manage and maintain Databricks: workspace governance, infrastructure, access patterns and guardrails
  • Ensure data quality, metadata completeness, and consistent application of privacy/PII policies across the Data Mesh
  • Create and maintain platform architecture for all things Data Mesh

Requirements

  • Strong practical experience using Python in data engineering contexts
  • Building and maintaining big-data pipelines (e.g., PySpark)
  • Integrating with external REST APIs
  • Setting up and maintaining CI/CD pipelines; solid DevOps mindset
  • Strong understanding of Git
  • Hands-on experience with AWS (e.g., CloudFormation, ECS, S3) and exposure to Azure services
  • Familiarity with Terraform, Databricks Asset Bundles or AWS CloudFormation
  • Experience applying privacy/PII rules, data quality checks and metadata standards at scale
Benefits
  • Flexible working environment
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonPySparkCI/CDDevOpsGitAWSAzureTerraformDatabricksdata quality