Data Engineer CV Review for Swedish Tech

The tech scene in Sweden is huge on data. As a Data Engineer, your job is to build the reliable pipelines that make everything else possible. We'll help you show hiring managers that you know how to build systems that scale.

What Swedish Recruiters Expect

Swedish recruiters look for solid skills in Python or Scala, and tools like dbt or Airflow. They care about data quality and how you handle the messy parts of the pipeline. Showing you understand how to model data for real-world business decisions is the key to getting noticed.

Pro Tip for Data Engineers

Swedish tech culture values "lagom" — be confident about your technical impact but avoid over-inflating titles. Use data to back up your achievements.

Demonstrating Technical Impact

Quantify your impact to stand out. Try something like: 'I designed a new data flow that cut query times in half and saved the company 200k SEK a year in cloud bills'. Highlighting how you work with analysts and scientists is also a big plus.

Key Skills to Highlight

  • ETL/ELT Pipeline Design
  • Distributed tools (Spark, Flink)
  • Cloud Warehouses (Snowflake, BigQuery)
  • Orchestration (Airflow, Dagster)
  • Data Modeling and Governance
  • Streaming (Kafka, Kinesis)

Common Mistakes

  • Focusing too much on 'Data Science' tasks
  • Ignoring how you test your pipelines
  • Not mentioning data privacy or GDPR
  • Being vague about the volume of data you handled

Ready to Land Your Data Engineer Role?

Don't leave your first impression to chance. Let our Swedish recruitment experts review your CV and give you the professional edge you need.

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