Über
We're looking for a Data Engineer to help our clients build the data infrastructure that everything else depends on. You'll design and implement pipelines, warehouses, and governance frameworks that turn fragmented enterprise data into a trustworthy, accessible foundation. What You'll Do
Design and build modern data pipelines using batch and real-time streaming patterns Implement lakehouse architectures on cloud platforms (Snowflake, Databricks, BigQuery) Develop data quality frameworks, lineage tracking, and governance automation Migrate legacy ETL processes to modern, cloud-native architectures Collaborate with data scientists and analysts to ensure infrastructure meets analytical needs What We're Looking For
4+ years of data engineering experience Proficiency in SQL and Python; experience with Spark, dbt, or Airflow Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery, or Redshift) Understanding of data modeling, warehousing patterns, and streaming architectures (Kafka, Kinesis) Experience with infrastructure as code and CI/CD for data pipelines Strong problem-solving skills and attention to data quality Nice to Have
Experience with data governance tools (Collibra, Alation, or similar) Background in building data platforms for regulated industries Familiarity with ML feature stores and serving infrastructure Interested?
Send us a note with your resume and tell us why you're a fit for this role.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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