Experience working in environments with AI/ML components or interest in learning data workflows for ML applications . Bonus if you have e xposure to Kafka, Spark, or Flink . Experience with data compliance regulations (GDPR). What you can expect from us: Opportunity for annual bonuses Medical Insurance Cycle to work scheme Work from home and wellbeing More ❯
Experience working in environments with AI/ML components or interest in learning data workflows for ML applications . Bonus if you have e xposure to Kafka, Spark, or Flink . Experience with data compliance regulations (GDPR). What you can expect from us: Salary 65-75k Opportunity for annual bonuses Medical Insurance Cycle to work scheme Work More ❯
are recognised by industry leaders like Gartner's Magic Quadrant, Forrester Wave and Frost Radar. Our tech stack: Superset and similar data visualisation tools. ETL tools: Airflow, DBT, Airbyte, Flink, etc. Data warehousing and storage solutions: ClickHouse, Trino, S3. AWS Cloud, Kubernetes, Helm. Relevant programming languages for data engineering tasks: SQL, Python, Java, etc. What you will be doing More ❯
Grow with us. We are looking for a Machine Learning Engineer to work along the end-to-end ML lifecycle, alongside our existing Product & Engineering team. About Trudenty: The Trudenty Trust Network provides personalised consumer fraud risk intelligence for fraud More ❯
Charlotte, North Carolina, United States Hybrid / WFH Options
Vanguard
Python programming for data engineering tasks. Experience using Python libraries and frameworks. Strong hands-on experience with real-time data streaming technologies such as AWS Kinesis, Apache Kafka, ApacheFlink, or similar technologies. Solid understanding of SQL and experience working with relational databases (e.g., Aurora . Experience with data warehousing concepts and tools (e.g., Amazon Redshift, Snowflake). Experience More ❯
generation (SSG) in Next.js Experience with testing frameworks like Jest, Cypress, or React Testing Library. Experience with authentication strategies using OAuth, JWT, or Cognito Familiarity with Apache Spark/Flink for real-time data processing is an advantage. Hands-on experience with CI/CD tools Commercial awareness and knowledge of public sector. Excellent communicator, able to interact with 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 ❯
non-technical stakeholders • A background in software engineering, MLOps, or data engineering with production ML experience Nice to have: • Familiarity with streaming or event-driven ML architectures (e.g. Kafka, Flink, Spark Structured Streaming) • Experience working in regulated domains such as insurance, finance, or healthcare • Exposure to large language models (LLMs), vector databases, or RAG pipelines • Experience building or managing More ❯
non-technical stakeholders • A background in software engineering, MLOps, or data engineering with production ML experience Nice to have: • Familiarity with streaming or event-driven ML architectures (e.g. Kafka, Flink, Spark Structured Streaming) • Experience working in regulated domains such as insurance, finance, or healthcare • Exposure to large language models (LLMs), vector databases, or RAG pipelines • Experience building or managing More ❯
non-technical stakeholders A background in software engineering, MLOps, or data engineering with production ML experience Nice to have: Familiarity with streaming or event-driven ML architectures (e.g. Kafka, Flink, Spark Structured Streaming) Experience working in regulated domains such as insurance, finance, or healthcare Exposure to large language models (LLMs), vector databases, or RAG pipelines Experience building or managing More ❯
with big data technologies ( e.g. , Spark, Hadoop)Background in time-series analysis and forecastingExperience with data governance and security best practicesReal-time data streaming is a plus (Kafka, Beam, Flink)Experience with Kubernetes is a plusEnergy/maritime domain knowledge is a plus What We Offer Competitive salary commensurate with experience and comprehensive benefits package (medical, dental, vision) Significant More ❯
with big data technologies ( e.g. , Spark, Hadoop)Background in time-series analysis and forecastingExperience with data governance and security best practicesReal-time data streaming is a plus (Kafka, Beam, Flink)Experience with Kubernetes is a plusEnergy/maritime domain knowledge is a plus What We Offer Competitive salary commensurate with experience and comprehensive benefits package (medical, dental, vision) Significant More ❯
in data processing and reporting. In this role, you will own the reliability, performance, and operational excellence of our real-time and batch data pipelines built on AWS, ApacheFlink, Kafka, and Python. You'll act as the first line of defense for data-related incidents , rapidly diagnose root causes, and implement resilient solutions that keep critical reporting systems … on-call escalation for data pipeline incidents, including real-time stream failures and batch job errors. Rapidly analyze logs, metrics, and trace data to pinpoint failure points across AWS, Flink, Kafka, and Python layers. Lead post-incident reviews: identify root causes, document findings, and drive corrective actions to closure. Reliability & Monitoring Design, implement, and maintain robust observability for data … batch environments. Architecture & Automation Collaborate with data engineering and product teams to architect scalable, fault-tolerant pipelines using AWS services (e.g., Step Functions , EMR , Lambda , Redshift ) integrated with ApacheFlink and Kafka . Troubleshoot & Maintain Python -based applications. Harden CI/CD for data jobs: implement automated testing of data schemas, versioned Flink jobs, and migration scripts. Performance More ❯
to support real-time decision-making in the FX market. Building such systems is highly challenging and provides opportunities to work with modern technologies like NoSQL databases, Kafka, ApacheFlink, and more. It offers significant opportunities for growth, leadership, and innovation, as well as direct interaction with clients and business teams to deliver impactful solutions in the FX market. More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
WorksHub
us achieve our objectives. So each team leverages the technology that fits their needs best. You'll see us working with data processing/streaming like Kinesis, Spark and Flink; application technologies like PostgreSQL, Redis & DynamoDB; and breaking things using in-house chaos principles and tools such as Gatling to drive load all deployed and hosted on AWS. Our More ❯
