designing and supporting multi-tenant SaaS data platforms with strategies for data partitioning, tenant isolation, and cost management Exposure to real-time data processing technologies such as Kafka, Kinesis, Flink, or Spark Streaming, alongside batch processing capabilities Strong knowledge of SaaS compliance practices and security frameworks Core Competencies Excellent problem-solving abilities with the capacity to translate requirements into More ❯
Liverpool, Merseyside, North West, United Kingdom Hybrid / WFH Options
Forward Role
Excellent stakeholder management and documentation skills Team leadership experience with ability to mentor and develop engineering talent Nice to haves: Knowledge of data streaming platforms such as Kafka or Flink Exposure to graph databases or vector database technologies Professional certifications in Azure or AWS cloud platforms If you're ready to take the lead on transformative data engineering projects More ❯
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 ❯
slough, 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 ❯
Israel. Willingness and ability to travel abroad. Bonus Points: Knowledge and hands-on experience of Office 365 - A big advantage. Experience in Kafka, and preferably some exposure to ApacheFlink, is a plus. Why Join Semperis? You'll be part of a global team on the front lines of cybersecurity innovation. At Semperis, we celebrate curiosity, integrity, and people 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 ❯
