Epiroc

1 month ago

Azure Databricks Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Design and operate enterprise-grade data pipelines on the Azure Databricks platform. You’ll ingest data from multiple sources, transform it into trusted formats for analytics and AI/ML workloads, and collaborate with data scientists, analysts, and platform engineers in an international environment focused on governance, security, and automation.

Location: Prague

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Design scalable Spark-based pipelines on Databricks (batch and streaming) to power analytics and AI workloads.
•Implement data transformations with Delta Lake to deliver reliable, performant datasets.
•Manage governance and security using Unity Catalog, including permissions, lineage, and metadata.
•Operate workloads through orchestration (Databricks Jobs, DLT, structured streaming) and ensure production readiness via monitoring and error handling.
•Support automation and CI/CD practices to enable controlled deployments and lifecycle management in Azure.

Key Requirements

•Proven experience designing scalable Spark-based data pipelines (batch and streaming) on Azure Databricks, with Delta Lake for ACID transactions, partitioning, and schema management.
•Strong hands-on knowledge of PySpark/Scala and Spark SQL, plus ability to operationalize pipelines using Databricks Jobs and Delta Lake.
•Experience with Unity Catalog for data access control, lineage, and metadata management in a multi‑team environment.
•Familiarity with DevOps practices and CI/CD pipelines (Git, Azure DevOps, GitHub Actions) and deployment automation (Terraform) in Azure.
•Ability to design and implement bronze/silver/gold data lake architectures and ensure production readiness through monitoring and performance tuning.

Experience:Data engineeringCloudAzureDatabricks

Skills:Data engineeringCommunicationTeam collaboration

Languages:English

Tech Stack:Azure DatabricksApache SparkPySparkScalaSpark SQLDelta LakeUnity CatalogADLS Gen2Azure Data FactorySynapseKey VaultAzure DevOpsGitTerraformDatabricks JobsDLT

Company Brief

Epiroc

Designs, manufactures and services equipment, tools and solutions for mining and infrastructure industries, including rock drilling rigs, excavation tools, and aftermarket services to improve productivity and sustainability.

Industry: Mining & Metals

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Stockholm, Sweden

Founded: 2018

Website LinkedIn

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Epiroc

1 month ago

Azure Databricks Data Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 11 hours agoStatus: Live

Job Summary

Location: Prague

Workplace: Hybrid

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Design scalable Spark-based pipelines on Databricks (batch and streaming) to power analytics and AI workloads.
•Implement data transformations with Delta Lake to deliver reliable, performant datasets.
•Manage governance and security using Unity Catalog, including permissions, lineage, and metadata.
•Operate workloads through orchestration (Databricks Jobs, DLT, structured streaming) and ensure production readiness via monitoring and error handling.
•Support automation and CI/CD practices to enable controlled deployments and lifecycle management in Azure.

Key Requirements

•Proven experience designing scalable Spark-based data pipelines (batch and streaming) on Azure Databricks, with Delta Lake for ACID transactions, partitioning, and schema management.
•Strong hands-on knowledge of PySpark/Scala and Spark SQL, plus ability to operationalize pipelines using Databricks Jobs and Delta Lake.
•Experience with Unity Catalog for data access control, lineage, and metadata management in a multi‑team environment.
•Familiarity with DevOps practices and CI/CD pipelines (Git, Azure DevOps, GitHub Actions) and deployment automation (Terraform) in Azure.
•Ability to design and implement bronze/silver/gold data lake architectures and ensure production readiness through monitoring and performance tuning.

Experience:Data engineeringCloudAzureDatabricks

Skills:Data engineeringCommunicationTeam collaboration

Languages:English

Tech Stack:Azure DatabricksApache SparkPySparkScalaSpark SQLDelta LakeUnity CatalogADLS Gen2Azure Data FactorySynapseKey VaultAzure DevOpsGitTerraformDatabricks JobsDLT

Company Brief

Epiroc

Industry: Mining & Metals

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Stockholm, Sweden

Founded: 2018

Website LinkedIn