Data Engineer – ETL/ELT Pipelines & Data Warehouse

Hitachi Vantara Corporation

Ludvika kommun

On-site

SEK 600,000 - 900,000

Full time

14 days+
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Benefits offered by this job

Collective agreement
Flexible working time
Health care and wellness allowance
Career possibilities in Hitachi Energy

Job summary

Hitachi Energy is seeking a Data Engineer to build, optimize, and maintain backend data pipelines powering analytics and BI. You will transform architectural blueprints into scalable data flows, ensuring high reliability and data privacy.

The role collaborates with data platform architects, developers, and BI analysts to deliver robust data infrastructure. The candidate will work within a structured environment following PPS guidelines and ITIL processes, focusing on data quality, interfaces,

Qualifications

  • Proven background as a Data Engineer or Backend Data Developer in enterprise-scale data platforms.
  • Experience building and optimizing data pipelines and interfaces.
  • Strong knowledge of data warehouse concepts and data modeling.

Responsibilities

  • Build and optimize ETL/ELT pipelines to integrate multiple data sources into a unified data warehouse.
  • Implement backend data structures, data marts, and schemas with performance in mind.
  • Ensure data quality, integrity, and consistency across systems.
  • Monitor pipeline health, troubleshoot issues, and support service requests.
  • Adhere to PPS guidelines and ITIL/ITSM processes for operations.

Skills

ETL/ELT pipelines
SQL
Python
Scala
Spark

Tools

Data warehouse

Job description

Hitachi Energy is seeking a Data Engineer to build, optimize, and maintain backend data pipelines powering analytics and BI. You will transform architectural blueprints into scalable data flows, ensuring high reliability and data privacy.

The role collaborates with data platform architects, developers, and BI analysts to deliver robust data infrastructure. The candidate will work within a structured environment following PPS guidelines and ITIL processes, focusing on data quality, interfaces,

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