1,651 to 1,675 of 1,894 Kafka Jobs

align technology with business objectives and cost efficiency. Security & Compliance Knowledge: GDPR, API authentication, and observability best practices. Big data processing: Understanding data lakes, warehouses, and tools like Spark, Kafka, and Airflow. ETL Pipelines: Ability to evaluate data ingestion, transformation, and cleaning processes. DevOps & CI/CD: Hands-on knowledge of Jenkins, GitHub Actions, Terraform, and CloudFormation. What's More ❯

Join to apply for the Data Architect role at Supermercados Guanabara 4 days ago Be among the first 25 applicants Join to apply for the Data Architect role at Supermercados Guanabara Get AI-powered advice on this job and more More ❯

regulatory reporting (MI-FID, PRIIPs, Consumer Duty) via policy-as-code pipelines. Platform Modernisation : Drive shift from batch ETL to event-driven streaming; partner with cloud-engineering on Snowflake, Kafka, K8s. Vendor & Tooling Strategy : Rationalise BI, MDM, and metadata tooling; negotiate enterprise licences. Leadership & Change : Build and mentor a 20-30 FTE cross-location data-architecture guild; embed OKRs More ❯

of these areas. Pride in readable, well-designed, well-tested solutions Ability to take a lead on the direction for a technical area in the platform space (eg. Containers, Kafka, Networking) Extensive experience with infrastructure tooling, ideally Terraform A strong background in software engineering, preferably with Go Proven leadership skills, including coaching, team-building and generally supporting peers and More ❯

customer experiences. To be successful as a BATS Rates Java Developer – AVP, you should have experience with: Java development in investment banking domain Relational database management systems Messaging brokers (Kafka, Solace, MQ, etc.) Some Other Highly Valued Skills May Include Low latency programming experience Proficiency in Scripting Efficient communication skills You may be assessed on the key critical skills More ❯

effectively to a non-technical audience Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience What Gives You an Edge: Prior experience with Kafka or similar streaming data technologies Deep understanding of cloud ecosystems and experience with public cloud platforms (AWS, Azure, GCP) Active participation in open-source communities or previous experience working More ❯

write scalable, reliable, testable and reusable code Strong knowledge of design patterns and .NET Class Library Experience with Git, NuGet, NCover/dotCover, nUnit Ideally experience with SignalR, Tibco, Kafka, Redis, Cassandra, Elastic Search Willingness to learn from team members Additional Information At Entain, we know that signing top players requires a great starting package, and plenty of support More ❯

CD pipelines across Azure API architecture Strong experience designing, implementing, and securing RESTful and/or gRPC APIs Real-time data systems Skilled in message streaming with platforms like Kafka, Azure Event Hubs, or RabbitMQ Leadership in fast-paced environments Proven track record as a tech lead in high-growth or startup environments, with the ability to build, mentor More ❯

record of delivering complex software solutions in fast-paced environments. You're an expert in at least one technical area critical to our platform (e.g., database optimization, service frameworks, Kafka, container orchestration). You possess a deep understanding of modern software development methodologies (TDD, Pair Programming, Continuous Deployment) and can effectively champion them within your team. You have a More ❯

CD pipelines across Azure API architecture – Strong experience designing, implementing, and securing RESTful and/or gRPC APIs Real-time data systems – Skilled in message streaming with platforms like Kafka, Azure Event Hubs, or RabbitMQ Leadership in fast-paced environments – Proven track record as a tech lead in high-growth or startup environments, with the ability to build, mentor More ❯

experiences, don’t let it stop you from applying. BASIC QUALIFICATIONS - 10+ years of technical specialist, design and architecture experience - 10+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 10+ years of consulting, design and implementation of serverless distributed solutions experience - Australian citizen with ability to obtain security clearance. PREFERRED QUALIFICATIONS - AWS Professional level certification - 10+ More ❯

of data modelling (e.g., Kimball, Star Schema, Data Vault). Proficient in cloud and DataOps solutions especially with Azure or AWS stack and including event streaming (Azure Event Hubs, Kafka). Experience with Big Data Solutions(Hadoop, Cassandra). Understanding of compliance (GDPR, ISO 22701) and frameworks (TOGAF, DAMA). Skilled with architecture tools (Visio, Draw.io, Archi, SparxEA). More ❯

conversion data, targeting and measurement, as well as the changing privacy and compliance landscape. Have a data engineering background, or working experience with data technologies such as Databricks, Spark, Kafka, SQL and Airflow. Have a strong sense of ownership and track record of delivery. You get huge satisfaction from solving complex problems, and delivering the highest quality features. Strong More ❯

to be successful Demonstrated experience as a Data engineer in a high volume, low latency environment; video games experience is a plus Experience with Big Data technologies such as Kafka, Spark Expert in Python for API integration, data manipulation and enrichment Advanced SQL: Aggregate and window functions, joins and CTEs Strong understanding of database design for optimal performance; experience More ❯

Tableau) and data analytics languages (SQL, Python). Familiarity with Salesforce, Dynamics 365, or similar enterprise systems. Excellent communication, collaboration, and stakeholder management skills. Nice-to-Haves Knowledge of Kafka, Snowflake, or Databricks. Experience with AI in data (e.g., real-time forecasting, visualisation). Background in advisory or consulting roles within data strategy. Ability to thrive in ambiguous, fast More ❯

achieve in the cloud. BASIC QUALIFICATIONS - Strong software development skills in multiple languages (Java, Python, R) with extensive ETL and data management experience - Deep understanding of Hadoop ecosystem (Sqoop, Kafka, etc.) and SQL-on-Hadoop technologies (Hive, Spark SQL) with proven experience in MPP models - Demonstrated expertise in GenAI, including LLMs, RAG architectures, vector databases, and production deployment experience More ❯

Kingdom 1 month ago Software Engineer - Data Infrastructure - OpenSearch/ElasticSearch Edinburgh, Scotland, United Kingdom 1 month ago Edinburgh, Scotland, United Kingdom 1 month ago Software Engineer - Data Infrastructure - Kafka Edinburgh, Scotland, United Kingdom 1 month ago Edinburgh, Scotland, United Kingdom 4 days ago Lead Python Software Engineer, Commercial Systems Edinburgh, Scotland, United Kingdom 1 month ago Edinburgh, Scotland More ❯

years of IT platform implementation in a technical and analytical role experience. - Experience in consulting, design and implementation of serverless distributed solutions. - Experienced in databases (SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) and managing complex, large-scale customer-facing projects. - Experienced as a technical specialist in design and architecture, with expertise in cloud-based solutions (AWS or equivalent), systems, networks More ❯

Software Engineer - Data Infrastructure - OpenSearch/ElasticSearch Glasgow, Scotland, United Kingdom 1 month ago Software Engineer - Solutions Engineering Glasgow, Scotland, United Kingdom 2 months ago Software Engineer - Data Infrastructure - Kafka Glasgow, Scotland, United Kingdom 1 month ago Python Software Engineer - Ubuntu Hardware Certification Team Glasgow, Scotland, United Kingdom 2 months ago Glasgow, Scotland, United Kingdom 1 week ago Glasgow More ❯

transformative programmes, ideally in a greenfield environment. Expertise in trading systems, particularly ETRM platforms such as Endur Strong knowledge of general cloud architecture (Azure, AWS) and messaging patterns (RabbitMQ, Kafka, Service Bus). Familiarity with API connectivity stacks, data warehousing, and reporting frameworks. Experience in agile development methodologies and modern technology stacks. Excellent stakeholder management skills, with the ability More ❯

of the brightest technical minds in the industry today. BASIC QUALIFICATIONS - 10+ years of technical specialist, design and architecture experience - 10+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 10+ years of consulting, design and implementation of serverless distributed solutions experience - Australian citizen with ability to obtain security clearance. PREFERRED QUALIFICATIONS - AWS Professional level certification - 10+ More ❯

of current cyber security threats, actors and their techniques. Experience with data science, big data analytics technology stack, analytic development for endpoint and network security, and streaming technologies (e.g., Kafka, Spark Streaming, and Kinesis). Strong sense of ownership combined with collaborative approach to overcoming challenges and influencing organizational change. Amazon is an equal opportunities employer. We believe passionately More ❯

associated security incident response systems Stay informed about emerging threats and security best practices. Data Ingestion and Enrichment: Configure Elasticsearch pipelines for data ingestion from various sources, primarily from Kafka Enhance data enrichment by integrating threat intelligence feeds and contextual information. Keep abreast of relevant technologies in the area Reading, attending briefings and talks. Contribute to the running of More ❯

software landscape. Experience working with CRM, BPM, payments, and/or ticketing systems. You will have the opportunity to work across a variety of technologies including GCP, Kubernetes (GKE), Kafka, Elasticsearch, Oracle, Couchbase and Apigee, so previous experience in any of these is welcome. About Us Our vision is to give everyone the belief they can make their move. More ❯

Social network you want to login/join with: Software Engineer III (DSE - London), London col-narrow-left Client: FactSet Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: f44b7b8754c5 Job Views More ❯