in finance or trading) Deep knowledge of data structures, algorithms, and system performance tuning Experience working in Linux-based environments Bonus: Exposure to FIX protocol, messaging systems (e.g., Aeron, Kafka), or C++ If you're passionate about performance engineering and want to work on systems that directly impact global financial markets, please apply for immediate consideration. More ❯
in finance or trading) Deep knowledge of data structures, algorithms, and system performance tuning Experience working in Linux-based environments Bonus: Exposure to FIX protocol, messaging systems (e.g., Aeron, Kafka), or C++ If you're passionate about performance engineering and want to work on systems that directly impact global financial markets, please apply for immediate consideration. More ❯
True ownership. No legacy, no red tape 🛠️ Tech You’ll Use Kotlin & Node.js (multi-threaded, cloud-native backends) React & TypeScript (scalable frontends) AWS (fully cloud-based) Event-driven architecture (Kafka, Pub/Sub, queues) 🚀 What You’ll Do Architect and scale the core platform Lead engineering best practices from the start Build systems that handle real-time, high-volume More ❯
databases and handling complex queries. Creating automated build processes using Gradle. Requirements Strong expertise in Spark and Scala. Hands-on experience with Hadoop. Proficiency with data processing frameworks like Kafka and Spark. Experience with database engines such as Oracle, PostgreSQL, Teradata, Cassandra. Understanding of distributed computing technologies, approaches, and patterns. Nice to have Experience with Data Lakes, Data Warehousing More ❯
a proven ability to lead and mentor a team. Expertise in SQL, Python, and R. Strong proficiency in AWS technologies such as Redshift, S3, EC2, and Lambda. Experience with Kafka and real-time data streaming technologies. Advanced skills in building ETL pipelines and integrating data from APIs. Familiarity with data visualization and reporting tools like Tableau. Exceptional analytical skills More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intec Select
a proven ability to lead and mentor a team. Expertise in SQL, Python, and R. Strong proficiency in AWS technologies such as Redshift, S3, EC2, and Lambda. Experience with Kafka and real-time data streaming technologies. Advanced skills in building ETL pipelines and integrating data from APIs. Familiarity with data visualization and reporting tools like Tableau. Exceptional analytical skills More ❯
technologies including salt, git, Ansible, Terraform, Puppet and network element managers. • Network Performance Management (SNMP, NETMON, LiveAction) • Demonstrated experience in any two or more of the following: Netflow, Elastic, Kafka, Grafana, Prometheus, or Nexus Repo. • Demonstrate expertise in design and improvement of complex and geographically diverse enterprise networks. • Expert knowledge of US Army security requirements for network infrastructure. More ❯
and real-time data systems. Strong track record in networks, telecom, or customer experience domains (preferred). Proficiency in cloud platforms like GCP, AWS, or Azure; plus tools like Kafka, Spark, Snowflake, Databricks. Skilled collaborator with excellent stakeholder and vendor management capabilities. Confident communicator with the ability to bridge technical and business audiences. London – Hybrid £500pd Outside IR35 More ❯
and real-time data systems. Strong track record in networks, telecom, or customer experience domains (preferred). Proficiency in cloud platforms like GCP, AWS, or Azure; plus tools like Kafka, Spark, Snowflake, Databricks. Skilled collaborator with excellent stakeholder and vendor management capabilities. Confident communicator with the ability to bridge technical and business audiences. London – Hybrid £500pd Outside IR35 More ❯
Python for scripting and analytics Airflow (or equivalent workflow orchestration tools) Power BI , and optionally Plotly/Dash for data visualisation Strong experience with AWS or equivalent Spark or Kafka (experience with one or the other expected) Proficiency in data modelling techniques such as Star or Snowflake schema Experience designing and deploying transformation pipelines in production Passion for data More ❯
in cloud-, 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 such as Java and Python. Strong understanding of data-centric architecture principles, including data governance, data Lakehouse, and AI-driven platforms. Excellent More ❯
nice to have). Artifact Management: Familiarity with Artifactory. Communication: Ability to collaborate with both technical and development teams. Desirables: Experience with Prometheus, Grafana, or ELK Stack. Knowledge of Kafka and Kubernetes. Familiarity with OTel for presenting observability data. Please send me your CV if you are interested, we also offer upto £1000 for successful referrals. Oscar Associates (UK More ❯
Desirable Experience: Experience with low-latency systems, high-frequency trading (HFT) or execution consultancy Exposure to Python for prototyping and data analytics Familiarity with distributed systems, messaging frameworks (eg Kafka), or order management systems (OMS) Position Overview: Salary: Up to £115,000 base Location: London (Hybrid, 2-3 days per week onsite) Industry: Financial services, electronic trading, Front Office More ❯
a fast-paced and dynamic environment. Strong understanding of data modeling, database design, and SQL query optimization. Experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark, Kafka). Knowledge of cloud platforms and services, such as AWS, Azure, or Google Cloud Platform. Benefits: €90,000+ Company car Opportunity to work on innovative projects at the intersection More ❯
with engineering leads and product stakeholders Strong troubleshooting skills and experience in complex environments Ability to lead, mentor, and influence without direct management lines Nice-to-Haves: Exposure to Kafka, Helm, or other message brokers/tools Experience supporting or scaling SaaS platforms Familiarity with security in cloud environments Prior experience in fast-paced industries You'll Get: Annual More ❯
paced world of volatile markets Finance experience preferred but not strictly required Any of the following would be beneficial: Python, C++, Matlab, R; SQL Server or PostgreSQL, RabbitMQ or Kafka, Memcache or Redis Familiarity with compilers and formal languages Knowledge of Interest Rates financial products, e.g. swaps, swaptions, bonds, bond futures, bond repos, etc., is highly desirable Excellent salaries 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 ❯
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 ❯
