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 ❯
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 ❯
to cross-functional teams, ensuring best practices in data architecture, security and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise ApacheFlink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data Ensure all data solutions comply with industry standards and government regulations … not limited to EC2, S3, RDS, Lambda and Redshift. Experience with other cloud providers (e.g., Azure, GCP) is a plus In-depth knowledge and hands-on experience with ApacheFlink for real-time data processing Proven experience in mentoring and managing teams, with a focus on developing talent and fostering a collaborative work environment Strong ability to engage with More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Rise Technical Recruitment Limited
a trusted partner across a wide range of businesses.In this role you'll take ownership of the reliability and performance of large-scale date pipelines built on AWS, ApacheFlink, Kafka, and Python. You'll play a key role in diagnosing incidents, optimising system behaviour, and ensuring reporting data is delivered on time and without failure.The ideal candidate will … have a strong experience working with streaming and batch data systems, a solid understanding of monitoring a observability, and hands-on experience working with AWS, ApacheFlink, Kafka, and Python.This is a fantastic opportunity to step into a SRE role focused on data reliability in a modern cloud native environment, with full ownership of incident management, architecture, and performance. … various other departments and teams to architect scalable, fault-tolerant data solutions The Person: *Experience in a data-focused SRE, Data Platform, or DevOps role*Strong knowledge of ApacheFlink, Kafka, and Python in production environments*Hands-on AWS experience with AWS (Lambda, EMR, Step Functions, Redshift, etc.)*Comfortable with monitoring tools, distributed systems debugging, and incident response Reference More ❯
trusted partner across a wide range of businesses. In this role you'll take ownership of the reliability and performance of large-scale date pipelines built on AWS, ApacheFlink, Kafka, and Python. You'll play a key role in diagnosing incidents, optimising system behaviour, and ensuring reporting data is delivered on time and without failure. The ideal candidate … will have a strong experience working with streaming and batch data systems, a solid understanding of monitoring a observability, and hands-on experience working with AWS, ApacheFlink, Kafka, and Python. This is a fantastic opportunity to step into a SRE role focused on data reliability in a modern cloud native environment, with full ownership of incident management, architecture … various other departments and teams to architect scalable, fault-tolerant data solutions The Person: Experience in a data-focused SRE, Data Platform, or DevOps role Strong knowledge of ApacheFlink, Kafka, and Python in production environments Hands-on AWS experience with AWS (Lambda, EMR, Step Functions, Redshift, etc.) Comfortable with monitoring tools, distributed systems debugging, and incident response Reference More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Rise Technical Recruitment Limited
trusted partner across a wide range of businesses. In this role you'll take ownership of the reliability and performance of large-scale date pipelines built on AWS, ApacheFlink, Kafka, and Python. You'll play a key role in diagnosing incidents, optimising system behaviour, and ensuring reporting data is delivered on time and without failure. The ideal candidate … will have a strong experience working with streaming and batch data systems, a solid understanding of monitoring a observability, and hands-on experience working with AWS, ApacheFlink, Kafka, and Python. This is a fantastic opportunity to step into a SRE role focused on data reliability in a modern cloud native environment, with full ownership of incident management, architecture … various other departments and teams to architect scalable, fault-tolerant data solutions The Person: *Experience in a data-focused SRE, Data Platform, or DevOps role *Strong knowledge of ApacheFlink, Kafka, and Python in production environments *Hands-on AWS experience with AWS (Lambda, EMR, Step Functions, Redshift, etc.) *Comfortable with monitoring tools, distributed systems debugging, and incident response Reference More ❯
essential requirement includes experience of analytics area, especially in data warehouse and data lake technologies. Familiar with services and products related to data analysis, for example: Redshift, EMR, ElasticSearch, Flink, Spark, Hbase, Kafka, Kinesis, Trino, Hudi, Iceberg, etc.Experience with Data and AI projects and tool usage will be given priority. About the team Diverse Experiences AWS values diverse experiences. … years of IT development or implementation/consulting in the software or Internet industries experience - Familiar with services and products related to data analysis, for example: Redshift, EMR, OpenSearch, Flink, Spark, Hbase, Kafka, Kinesis, Trino, Hudi, Iceberg, etc. - Experience in deploying and maintaining big data projects. PREFERRED QUALIFICATIONS - Experience working within software development or Internet-related industries - Experience migrating More ❯