OPEN
OPEN
OPEN is a Nordic payments and point-of-sale technology company serving hospitality, retail, electric vehicle charging, and fuel businesses. Founded in 2005, the company operates across Sweden, Norway, Finland, and Denmark, developing industry-specific POS systems, payment terminals, and cloud-connected SaaS services. Its platform combines business integrations, inventory management, real-time analytics, and digital payment tools, supported by round-the-clock assistance for both startups and established enterprises.

Data Engineer, Semarchy and SQL

Build and optimize data pipelines for critical banking platforms using Semarchy xDI and SQL. Join a data team working on ingestion, transformation, data quality, and production delivery.

Description

  • Build and maintain reliable, high-performance data pipelines.
  • Create ingestion and transformation workflows with Semarchy xDI and SQL.
  • Help shape and evolve data marts and data models.
  • Maintain data quality, consistency, and traceability across the data lifecycle.
  • Improve the performance of data processing and integration workflows.
  • Run technical acceptance tests and support production releases.
  • Collaborate with Data Analysts, business teams, and project stakeholders.
  • Take part in Agile ceremonies and continuous improvement work.

Requirements

  • Background in data engineering, data integration, or ETL development.
  • Strong SQL skills and understanding of data transformation.
  • Experience with an integration platform such as Semarchy, Talend, Informatica, or DataStage.
  • Understanding of data quality, governance, and reliability needs.
  • Familiarity with business intelligence environments and data architecture.
  • Self-directed, detail-focused, and analytical approach to work.
  • Able to collaborate in demanding environments with significant business impact.
  • Banking or regulatory sector knowledge is an advantage.

Benefits

  • Work remotely up to three days per week.
  • Join an active Data community to share expertise and build skills.
  • Career paths include Lead Data Engineer, Data Architect, and Data Expert roles.

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