Data Engineer

About the role

Etraveli Group, a global flight technology provider, is looking for a Data Engineer to join its Data Platform team in Gothenburg. The role bridges raw, distributed data sources and high-performing data products, supporting analytics, machine learning and business decisions across Finance, Customer Service, Sales and Data Science. It is based in Gothenburg.

Key responsibilities

• Design, develop and maintain robust batch and streaming pipelines for business intelligence, machine learning and other stakeholders.
• Ingest and interpret data from cloud and on-premise sources into the expanding data lakehouse platform.
• Evaluate, integrate and configure data engineering frameworks and tooling, prioritizing scalability, performance and maintainability.
• Define and enforce data quality standards with monitoring and alerting.
• Work with ML engineers, backend developers, DBAs and business stakeholders to optimize data pipelines.
• Improve query performance through indexing, partitioning, caching and efficient data modeling.
• Promote best practices and share status updates within the team.

Required profile

• 5+ years of experience in data engineering, data warehousing or a comparable technical role.
• Strong foundation in data warehousing concepts (Star and Snowflake schemas, slowly changing dimensions, incremental loads).
• Deep understanding of data lakehouse architectures, including object storage (S3/Ceph), table formats (Apache Iceberg, Delta Lake) and data formats (Parquet, Avro, JSON, CSV).
• Experience with distributed messaging (Kafka) and CDC tools (Debezium, Flink CDC, Kafka Connect).
• Comfortable with Linux, Docker and Kubernetes.

Required skills

• Hands-on experience building batch and streaming pipelines; familiarity with Spark, dbt, Dremio/Trino, Databricks and Airflow.
• Proficiency in SQL and scripting languages such as Python, Scala and Bash.
• CI/CD pipelines (Jenkins, Artifactory) and monitoring/alerting stacks (Grafana, Kibana); Vault is a strong merit.

What we offer

• Hybrid model: two days from home, plus two weeks per year of remote work.
• Healthcare allowance, pension and health insurance.
• Daily breakfast at the office in Merkurhuset, close to public transport.
• Gaming and after-work activities, hackathons and dev weeks, and continuous training.