knowledge of modern software architecture, including service-oriented architecture. Experience with leading cloud platforms (AWS, Azure, Google Cloud). Experience with Oracle, Postgres, and NoSQL databases. Experience with CI/CD pipelines, containerized deployments. Familiarity with compliance frameworks (e.g. SOC2, ISO 27001). Familiarity with regulatory frameworks (e.g. GDPR, HIPAA More ❯
make us believe you will excel. Experience with testing frameworks JUnit5, Mockito or Spring Integration. Strong database skills and experience is required; we have NoSQL databases as well as relational databases in use often with large data volumes. Strong data modelling concepts and principles having extensive experience of building data More ❯
plus, especially within multi-disciplinary teams Deep knowledge of database technologies: Distributed systems (e.g., Spark, Hadoop, EMR) RDBMS (e.g., SQL Server, Oracle, PostgreSQL, MySQL) NoSQL (e.g., MongoDB, Cassandra, DynamoDB, Neo4j) Solid understanding of software engineering best practices - code reviews, testing frameworks, CI/CD, and code maintainability Experience deploying applications More ❯
Expertise in Designing and implementing Codebase architectures such as package strategy, monorepo's, code branching and code workflows. Experience with Cloud hosted SQL and noSQL databases. Experience with PaaS providers such as Vercel, Netlify and Amplify. Experience with Web Rendering approaches such as SSG, ISR, SSR, CSR and hybrid approaches. More ❯
Modelling & Storage Relational (PostgreSQL, SQL Server), NoSQL (MongoDB, Cassandra), Dimensional modelling. DevOps & Automation Docker, Kubernetes, Terraform, CI/CD pipelines for data flows. Architectural Competencies Data Modelling: Designing dimensional, relational, and Document data lineage and recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL, Scala, Java. Big Data More ❯
their customers on messaging platforms they are familiar with while meeting their regulatory requirements. Tech stack: Micro-services Container Platforms (OpenShift, Kubernetes, CRC, Docker) NoSQL DBs (Cassandra, Zookeeper, MongoDB) Large scale data processing (Kafka) Dependency injection frameworks (Spring) Spunk/Grafana CI/CD Build tools: Maven, Git, Jenkins Your More ❯
in designing, developing and maintaining microservices and familiarity with event-driven systems and design patterns. Familiarity with algorithms, data structures, and databases (SQL/NoSQL). Experience in gathering requirements, collaborating with stakeholders, and creating documentation. What we offer: A comprehensive health and life insurance. A flexible work environment: you More ❯
software engineering practices (coding practices to DS, unit testing, version control, code review). Experience with Hadoop (especially the Cloudera and Hortonworks distributions), other NoSQL (especially Neo4j and Elastic), and streaming technologies (especially Spark Streaming). Deep understanding of data manipulation/wrangling techniques. Experience using development and deployment technologies More ❯
to integrate various systems. Strong knowledge of containerization (Docker) and continuous integration/deployment (CI/CD) practices. Experience with database systems (relational and NoSQL) and working with financial data. Familiarity with DevOps practices and tools to streamline the development life cycle, such as infrastructure-as-code (eg, Terraform or More ❯
/or Golang Bash scripting CI/CD with GitHub Actions, CircleCI or Jenkins Database, at least one of each SQL (preferably PostgreSQL) and NoSQL Linux administration, Debian/Ubuntu, Alpine Thorough understanding of networking Excellent communication skills Ability to work independently and remotely Security aware Qualifications Bachelor's degree More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Footprint IT Solutions
/or Golang Bash scripting CI/CD with GitHub Actions, CircleCI or Jenkins Database, at least one of each SQL (preferably PostgreSQL) and NoSQL Linux administration, Debian/Ubuntu, Alpine Thorough understanding of networking Excellent communication skills Ability to work independently and remotely Security aware Qualifications Bachelor's degree More ❯
production. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Proficiency in programming languages such as Python, SQL, and R. Knowledge of SQL and NoSQL databases for data storage and retrieval. Experience with LLM application design and deployment. Strong software engineering skills, including version control (Git), code reviews, and unit More ❯
software development methodologies (e.g., Agile, Waterfall). Familiarity with Git-based version control systems (e.g., GitHub, GitLab). Basic knowledge of databases (e.g., SQL, NoSQL). Knowledge of Spring Boot framework, Test-driven development, Web Services (REST/SOAP) development, and Docker containers. Familiarity with Cloud technologies (AWS, Azure, GCP More ❯
API and major Cloud Services (AWS, Azure, GCP) at an Associate/Professional level. Cloud Native Architecture including Microservices. Data Storage (Block, Object, SQL, NoSQL). Authentication, Authorisation, Identity Platforms. Information Security, Privacy and Regulatory Compliance. Performance Tuning, Hardening and Troubleshooting. Problem Solving Skills to methodically find faults and perform More ❯
roles Bachelor’s in CS, Engineering, Mathematics, Finance, etc. Proficiency in Python, SQL , and one or more: R, Java, Scala Experience with relational/NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with big data tools (Hadoop, Spark, Kafka), cloud platforms (Azure, AWS, GCP), and workflow tools (Airflow, Luigi) Bonus: experience with More ❯
clean code Familiarity with streaming data technologies such as Apache Kafka and AWS native messaging/streaming features Ability to work with SQL and NoSQL databases like Postgres and MongoDB Understanding of DevOps tools and AWS services Attention to detail and organizational skills Proven success in delivering large-scale development More ❯
to 4 years of experience as a Data Engineer or similar role (e.g., Software Engineer). Strong experience with SQL, Python, and relational/NoSQL databases (e.g., MongoDB). Familiarity with cloud platforms (preferably Azure). Experience with ETL/ELT frameworks and tools such as dbt. Proficiency in data More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Intellect Group
to 4 years of experience as a Data Engineer or similar role (e.g., Software Engineer). Strong experience with SQL, Python, and relational/NoSQL databases (e.g., MongoDB). Familiarity with cloud platforms (preferably Azure). Experience with ETL/ELT frameworks and tools such as dbt. Proficiency in data More ❯
Java, SpringBoot, Python, Javascript/TypeScript. Event-driven architecture based on Kafka and Solace Queue. Restful APIs, gRPC, and socket-based APIs. Relational and NoSQL databases. Docker and Kubernetes, Jenkins, and ArgoCD. Continuous Integration and Continuous Delivery. Best development practices. Agile and lean values. More ❯
and responsive design principles. Strong experience with Node.js, Express.js, and building RESTful APIs or microservices. Proficiency in working with both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB) databases. CI/CD & DevOps: Experience with integrating automated tests into CI/CD pipelines (e.g., Jenkins, CircleCI, GitLab CI) and familiarity with containerisation More ❯
principles, and resolving monolith vs. microservices trade-offs. Experience in code review. Experience with unit, E2E, and UI testing frameworks. Experience with SQL and NoSQL databases. Best practices in building scalable mobile APIs (REST, HTTPS, etc.). Good principles of security management (secrets, protocols, etc.). Experience with some Python More ❯
principles, and resolving monolith vs. microservices trade-offs. Experience in code review. Experience with unit, E2E, and UI testing frameworks. Experience with SQL and NoSQL databases. Best practices in building scalable mobile APIs (REST, HTTPS, etc.). Good principles of security management (secrets, protocols, etc.). Experience with some Python More ❯
science, mathematics, or a related field Experience developing and deploying machine learning systems into production Experience working with a variety of relational SQL and NoSQL databases Experience working with big data tools: Hadoop, Spark, Kafka, etc. Experience with at least one cloud provider solution (AWS, GCP, Azure) and understanding of More ❯
science, mathematics, or a related field Experience developing and deploying machine learning systems into production Experience working with a variety of relational SQL and NoSQL databases Experience working with big data tools: Hadoop, Spark, Kafka, etc. Experience with at least one cloud provider solution (AWS, GCP, Azure) and understanding of More ❯
