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The rather fashionable lovechild of data engineering and analysis that's been making waves since dbt Labs (formerly Fishtown Analytics) popularized it around 2016. Think traditional BI analyst meets software engineering practices, but with better documentation and fewer existential crises about data quality.
These chaps essentially bridge the gap between raw data and business insights, wielding modern data stack tools like dbt, Snowflake, and BigQuery with remarkable panache. Rather unlike their data engineering predecessors, who'd spend weeks building complex ETL pipelines, analytics engineers focus on transformation, testing, and documentation - all while maintaining a peculiarly obsessive relationship with version control. The role has gained tremendous traction, particularly among tech-savvy startups who'd rather not maintain separate teams for data engineering and analysis. Quite clever, really, though one does wonder if it's not just another Silicon Valley rebrand of existing practices.

Used together with Analytics Engineering

Additional Resources

The Rise of Analytics Engineering The Fundamentals of Analytics Engineering
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data engineer

Senior Consultant - Data (Data Engineering) @ slalom-consulting

SG | 2025-12-25
A senior data engineer role focusing on designing and operating production-grade data pipelines for Fortune 100 clients, with a notable emphasis on modern data platform best practices. The key... read more »
Analytics, Data Engineering, ETL/ELT, Analytics Engineering, Python, DevOps, CI/CD, Agile/Scrum, Data Modelling, AWS, Kubernetes, Snowflake, Databricks, Spark, Hive, Delta, Iceberg, Vector DB, Airflow, Dagster, Prefect, GitHub, Datadog
data engineer

Data Engineer - Singapore @ plaudai

SG | 2025-12-24
Plaud Inc. seeks a data professional to develop data pipelines, support data collection, and build datasets for AI evaluation, with a notable emphasis on data security practices. The role offers... read more »
AI/ML, GDPR/CCPA, Cyber Security, Analytics, Data Collection, Data Engineering, Analytics Engineering, SQL, Python, Go, Scala, ETL/ELT, Airflow, Prefect, Dagster, BigQuery, Snowflake, Redshift, Tableau, Looker, Superset, Data Modelling, Data Governance