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Senior Data Engineer

  • Sweden
  • English
  • Posted 16.09.26 09:02

At least 5 years continuous experience in data engineering area.

  • E. B.Sc. or M.Sc. in Computer Science, Engineering, Information Technology or equivalent work experience.
  • Strong knowledge and hands on experience of big data technologies such as data lakes, Apache Spark, Flink, Kafka etc.
  • Good knowledge of data warehousing concepts and ETL processes, DevOps, CI/CD and software testing.
  • Expertise with one of programming languages such as SQL, or Python.
  • Have working experience of AWS (Redshift, EMR, S3) and Azure (Data Factory, Power BI service) data analytics services.
  • Experience with Data platform tools like Databricks and/or Snowflake.
  • Be able to use Power BI for data analytics and visualization.
  • Be able to manage data platform with IaC (Infrastructure as Code) will be preferred.
  • Experience with connectivity data in automotive industry will be preferred.
  • Fluent in English with Chinese skill as a plus

Responsibilities and Deliveries

  • Design, develop and maintain scalable batch and stream data pipelines to ingest data into platform from various sources, use tools to automate and orchestrate data pipelines
  • Develop and implement data processing workflows of cleansing, deduplication, and transformation processes to prepare data for data services
  • Operate and maintain platform with infrastructure team.
  • Perform data platform upgrade test including regression test, security test, functional test.
  • Implement checks and measures to ensure the security, accuracy, completeness, and consistency of data
  • Set up tools to monitor pipeline performance, data quality, and system health
  • Diagnose and resolve issues with data pipelines, storage systems, or integrations
  • Collaborate with stakeholders to define data models and ensure the data meets their needs
  • Provide technical guidance and data access support to data consumers and addressing technical challenges.
  • Document data pipelines, architectures, and workflows to ensure clarity and ease of maintenance
  • Design and maintain data models for reporting and analytics in BI tools
  • Develop simple dashboard with Power BI

Pragmatic, self-driven, and solution-oriented

  • Comfortable working in ambiguous and evolving environments
  • Curious, flexible, and eager to learn new technologies
  • Proactive, self-starting, and able to manage multiple tasks effectively
  • Strong sense of ownership and accountability
  • Team-oriented with a collaborative mindset

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