OPEN
OPEN
OPEN ir Ziemeļvalstu maksājumu un tirdzniecības vietu tehnoloģiju uzņēmums, kas apkalpo ēdināšanas, mazumtirdzniecības, elektrisko transportlīdzekļu uzlādes un degvielas nozares uzņēmumus. Uzņēmums dibināts 2005. gadā un darbojas Zviedrijā, Norvēģijā, Somijā un Dānijā, izstrādājot konkrētām nozarēm paredzētas tirdzniecības vietu sistēmas, maksājumu termināļus un ar mākoni savienotus SaaS pakalpojumus. Tā platforma apvieno uzņēmējdarbības integrācijas, krājumu pārvaldību, reāllaika analītiku un digitālo maksājumu rīkus, nodrošinot diennakts atbalstu gan jaunuzņēmumiem, gan jau izveidotiem uzņēmumiem.

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.

Apraksts

  • 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.

Prasības

  • 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.

Priekšrocības

  • 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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