1 to 25 of 31 Kafka Jobs in the East Midlands

database design. Familiarity with cloud platforms (e.g., AWS, Azure) and microservices architecture. What Will Set You Apart Knowledge of DevOps tools and practices (e.g., Docker, Kubernetes). Experience with Kafka for real-time data streaming. Financial Services industry experience is advantageous but not essential. Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders. More ❯

Join to apply for the Staff Machine Learning Engineer role at SecurityScorecard 2 days ago Be among the first 25 applicants Join to apply for the Staff Machine Learning Engineer role at SecurityScorecard Get AI-powered advice on this job More ❯

logging, monitoring, and error handling. Knowledge of industry-standard solutions like Splunk and ELK is beneficial. Expertise in public cloud platforms, especially AWS. Knowledge of Enterprise Integration Patterns and Kafka is beneficial. Expertise in industry-standard DevOps solutions (e.g., Jenkins, GitLab, AWS CodePipeline). Financial services experience is advantageous. Ability to take a lead role and ownership of complex More ❯

organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services More ❯

organisations. You can expect to get involved in variety of projects in the cloud (AWS, Azure, GCP), learning about and using data services such as Databricks, Data Factory, Synapse, Kafka, Redshift, Glue, Athena, BigQuery, S3, Cloud Data Fusion etc. About You You're an engineer at heart and enjoy the challenge of building reliable, efficient data applications systems, services More ❯

Participate in on-call rotation to ensure 24/7 coverage of global trading systems Use the latest technology stacks such as AWS, Java 17, Python 3, HDF5, Kubernetes, Kafka and Argo Candidate Requirements Years experience in financial technology support, preferably in electronic trading Strong understanding of market data structures and exchange connectivity Scripting abilities in Python, Bash, or … similar languages Knowledge of monitoring tools and alerting frameworks Exposure to data technologies such as Kafka, Spark or Delta Lake is useful but not mandat Bachelor's degree in Computer Science, Engineering, or related technical field This role offers competitive compensation and the opportunity to work with cutting-edge trading technology. Hybrid work arrangement available with 3 days per More ❯

Participate in on-call rotation to ensure 24/7 coverage of global trading systems Use the latest technology stacks such as AWS, Java 17, Python 3, HDF5, Kubernetes, Kafka and Argo Candidate Requirements Years experience in financial technology support, preferably in electronic trading Strong understanding of market data structures and exchange connectivity Scripting abilities in Python, Bash, or … similar languages Knowledge of monitoring tools and alerting frameworks Exposure to data technologies such as Kafka, Spark or Delta Lake is useful but not mandat Bachelor's degree in Computer Science, Engineering, or related technical field This role offers competitive compensation and the opportunity to work with cutting-edge trading technology. Hybrid work arrangement available with 3 days per More ❯

to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal (no need More ❯

to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal (no need More ❯

to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal (no need More ❯

to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal (no need More ❯

to professionals from various data eng. backgrounds — data pipelines, ML Eng, data warehousing, analytics engineering, big data, cloud etc.) Technical Exposure: Experience with tools like SQL, Python, Apache Spark, Kafka, Cloud platforms (AWS/GCP/Azure), and modern data stack technologies Formal or Informal Coaching Experience: Any previous coaching, mentoring, or training experience — formal or informal (no need More ❯

in a 100% remote setup Lucrative salary, bonus, and unlimited holiday What You’ll Bring Extensive experience with Node.js & TypeScript in large-scale microservices Solid knowledge of Kubernetes + Kafka or RabbitMQ Deep understanding of AWS and cloud architectures Comfortable working fully remote in a B2B capacity Apply to be considered with interviews commencing from the 30th of June More ❯

customer segmentation, and real-time personalization. Hands-on experience with agile product development methodologies. Excellent communication and stakeholder management skills. Knowledge of modern data tools (e.g., Snowflake, Databricks, dbt, Kafka). Understanding of machine learning workflows and personalization engines. Product certifications (e.g., SAFe, Pragmatic, CSPO). Key Success Metrics: Consistent development roll outs of the Horizon CDP platform Increased More ❯

cloud-native, multi-tenant SaaS architecture, leveraging Infrastructure as Code (IaC) and designing for cost efficiency—experience in regulated domains Deep knowledge of distributed and event-driven systems, like Kafka, AWS SNS/SQS, and development in languages such as Java and Python. Strong understanding of data-centric architecture principles, including data governance, data Lakehouse, and AI-driven platforms. More ❯

cloud-native, multi-tenant SaaS architecture, leveraging Infrastructure as Code (IaC) and designing for cost efficiency—experience in regulated domains Deep knowledge of distributed and event-driven systems, like Kafka, AWS SNS/SQS, and development in languages such as Java and Python. Strong understanding of data-centric architecture principles, including data governance, data Lakehouse, and AI-driven platforms. More ❯

cloud-native, multi-tenant SaaS architecture, leveraging Infrastructure as Code (IaC) and designing for cost efficiency—experience in regulated domains Deep knowledge of distributed and event-driven systems, like Kafka, AWS SNS/SQS, and development in languages such as Java and Python. Strong understanding of data-centric architecture principles, including data governance, data Lakehouse, and AI-driven platforms. More ❯

cloud-native, multi-tenant SaaS architecture, leveraging Infrastructure as Code (IaC) and designing for cost efficiency—experience in regulated domains Deep knowledge of distributed and event-driven systems, like Kafka, AWS SNS/SQS, and development in languages such as Java and Python. Strong understanding of data-centric architecture principles, including data governance, data Lakehouse, and AI-driven platforms. More ❯

cloud-native, multi-tenant SaaS architecture, leveraging Infrastructure as Code (IaC) and designing for cost efficiency—experience in regulated domains Deep knowledge of distributed and event-driven systems, like Kafka, AWS SNS/SQS, and development in languages such as Java and Python. Strong understanding of data-centric architecture principles, including data governance, data Lakehouse, and AI-driven platforms. More ❯

support delivery throughout the project lifecycle. Automotive industry expertise is preferred. Experience working with public cloud-based enterprise data transform and load products and services (e.g., Mulesoft, SnapLogic, Boomi, Kafka) is preferred but not required. Proficiency in JIRA is also highly advantageous. Key responsibilities include: Lead Analysis Projects Drive and manage complex analysis initiatives, ensuring alignment with business objectives … of Agile methodologies and hands-on experience in Agile project delivery. Experience working with public cloud-based enterprise data transform and load products and services (e.g., Mulesoft, SnapLogic, Boomi, Kafka) preferred but not required. Excellent stakeholder management and communication skills Ability to work independently and collaboratively in a remote working environment In addition to a competitive salary, our benefits More ❯

support delivery throughout the project lifecycle. Automotive industry expertise is preferred. Experience working with public cloud-based enterprise data transform and load products and services (e.g., Mulesoft, SnapLogic, Boomi, Kafka) is preferred but not required. Proficiency in JIRA is also highly advantageous. Key responsibilities include: Lead Analysis Projects Drive and manage complex analysis initiatives, ensuring alignment with business objectives … of Agile methodologies and hands-on experience in Agile project delivery. Experience working with public cloud-based enterprise data transform and load products and services (e.g., Mulesoft, SnapLogic, Boomi, Kafka) preferred but not required. Excellent stakeholder management and communication skills Ability to work independently and collaboratively in a remote working environment In addition to a competitive salary, our benefits More ❯

support delivery throughout the project lifecycle. Automotive industry expertise is preferred. Experience working with public cloud-based enterprise data transform and load products and services (e.g., Mulesoft, SnapLogic, Boomi, Kafka) is preferred but not required. Proficiency in JIRA is also highly advantageous. Key responsibilities include: Lead Analysis Projects Drive and manage complex analysis initiatives, ensuring alignment with business objectives … of Agile methodologies and hands-on experience in Agile project delivery. Experience working with public cloud-based enterprise data transform and load products and services (e.g., Mulesoft, SnapLogic, Boomi, Kafka) preferred but not required. Excellent stakeholder management and communication skills Ability to work independently and collaboratively in a remote working environment In addition to a competitive salary, our benefits More ❯

support delivery throughout the project lifecycle. Automotive industry expertise is preferred. Experience working with public cloud-based enterprise data transform and load products and services (e.g., Mulesoft, SnapLogic, Boomi, Kafka) is preferred but not required. Proficiency in JIRA is also highly advantageous. Key responsibilities include: Lead Analysis Projects Drive and manage complex analysis initiatives, ensuring alignment with business objectives … of Agile methodologies and hands-on experience in Agile project delivery. Experience working with public cloud-based enterprise data transform and load products and services (e.g., Mulesoft, SnapLogic, Boomi, Kafka) preferred but not required. Excellent stakeholder management and communication skills Ability to work independently and collaboratively in a remote working environment In addition to a competitive salary, our benefits More ❯

support delivery throughout the project lifecycle. Automotive industry expertise is preferred. Experience working with public cloud-based enterprise data transform and load products and services (e.g., Mulesoft, SnapLogic, Boomi, Kafka) is preferred but not required. Proficiency in JIRA is also highly advantageous. Key responsibilities include: Lead Analysis Projects Drive and manage complex analysis initiatives, ensuring alignment with business objectives … of Agile methodologies and hands-on experience in Agile project delivery. Experience working with public cloud-based enterprise data transform and load products and services (e.g., Mulesoft, SnapLogic, Boomi, Kafka) preferred but not required. Excellent stakeholder management and communication skills Ability to work independently and collaboratively in a remote working environment In addition to a competitive salary, our benefits More ❯

support delivery throughout the project lifecycle. Automotive industry expertise is preferred. Experience working with public cloud-based enterprise data transform and load products and services (e.g., Mulesoft, SnapLogic, Boomi, Kafka) is preferred but not required. Proficiency in JIRA is also highly advantageous. Key responsibilities include: Lead Analysis Projects Drive and manage complex analysis initiatives, ensuring alignment with business objectives … of Agile methodologies and hands-on experience in Agile project delivery. Experience working with public cloud-based enterprise data transform and load products and services (e.g., Mulesoft, SnapLogic, Boomi, Kafka) preferred but not required. Excellent stakeholder management and communication skills Ability to work independently and collaboratively in a remote working environment In addition to a competitive salary, our benefits More ❯