Senior Data Engineer at Husqvarna Group maintaining data pipelines and ensuring data quality in a hybrid environment. Collaborating with teams to enhance data solutions across cloud platforms and fostering innovation in data management.
Responsibilities
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
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