or data platforms, with proven ability to solve complex distributed systems challenges independently Expertise in large-scale data processing pipelines (batch and streaming) using technologies such as Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Hlx Technology
or data platforms, with proven ability to solve complex distributed systems challenges independently Expertise in large-scale data processing pipelines (batch and streaming) using technologies such as Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks More ❯
london, south east england, united kingdom Hybrid / WFH Options
Hlx Technology
or data platforms, with proven ability to solve complex distributed systems challenges independently Expertise in large-scale data processing pipelines (batch and streaming) using technologies such as Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Hlx Technology
or data platforms, with proven ability to solve complex distributed systems challenges independently Expertise in large-scale data processing pipelines (batch and streaming) using technologies such as Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration frameworks More ❯
on APIs, SDKs, data platforms, data integration, or enterprise SaaS. Data platform knowledge: Strong familiarity with data warehouses/lakehouses (Snowflake, Databricks, BigQuery), orchestration tools (Airflow, Prefect), streaming (Kafka, Flink), and transformation (dbt). Technical proficiency: Solid understanding of REST/GraphQL APIs, SDK development, authentication/authorization standards (OAuth, SSO), and best practices in developer experience. Customer empathy More ❯
