Senior Data Engineer

What You’ll Do Build and maintain batch and streaming data pipelines. Move production data into archival/data lake storage safely and observably. Improve quality, reliability, and observability of derived datasets. Design validations for freshness, completeness, schema correctness, and data quality. Build reusable datasets that reduce one-off data extraction and aggregation work. Optimize queries and data processing jobs for correctness, latency, and cost. Prototype in the right tools, then integrate scoped production experiments with amo’s systems where needed. Must Have Senior-level experience building and operating data pipelines. Strong Python and SQL. Production experience with Python or Scala. Experience with PySpark, Spark SQL, Spark Streaming, Parquet, and Iceberg. Strong understanding of batch and stream processing. Query optimization experience. Familiarity with data engine internals and distributed data systems. Experience with data lakes, table/storage formats, and derived datasets. Nice To Have Experience with Flink or similar stream processing systems. Experience with ML training or inference pipelines. Familiarity with ranking, recommendations, embeddings, or entity resolution. Experience with privacy-sensitive data systems, GDPR workflows, or data deletion/export pipelines. Experience reading or making scoped changes in Rust-backed systems. Life at amo To ensure that everyone is set up for success within our way of working, we work together onsite 5 days a wee