more of Node.js or similar backend languages (C#/.NET omitted) Designing and creating REST APIs Experience of integration technologies like SOAP Strong understanding and experience of relational and NoSQL database design and implementation Experience building on container platforms such as Docker, Kubernetes Front-end skills Experience of using at least one of these JavaScript frameworks to create modern front More ❯
or Django . Solid experience with data libraries like Pandas , NumPy , and Dask . Familiarity with data processing frameworks (e.g., PySpark , Apache Beam ). Proficient in both SQL and NoSQL databases (e.g., PostgreSQL , MongoDB ). Understanding of ETL workflows and tools such as Apache Airflow or Luigi . Experience with message brokers (e.g., Kafka , RabbitMQ ) for streaming or event-based More ❯
or Django . Solid experience with data libraries like Pandas , NumPy , and Dask . Familiarity with data processing frameworks (e.g., PySpark , Apache Beam ). Proficient in both SQL and NoSQL databases (e.g., PostgreSQL , MongoDB ). Understanding of ETL workflows and tools such as Apache Airflow or Luigi . Experience with message brokers (e.g., Kafka , RabbitMQ ) for streaming or event-based More ❯
reliable systems. Requirements Key Responsibilities: Build RESTful APIs and microservices using Node.js (Express/NestJS) and/or Python (FastAPI/Django/Flask) Design and manage relational and NoSQL databases (PostgreSQL, MongoDB) Implement user authentication and authorization (OAuth2, JWT) Integrate with 3rd-party APIs and external services Optimize system performance and monitor API uptime Write unit/integration tests More ❯
reliable systems. Requirements Key Responsibilities: Build RESTful APIs and microservices using Node.js (Express/NestJS) and/or Python (FastAPI/Django/Flask) Design and manage relational and NoSQL databases (PostgreSQL, MongoDB) Implement user authentication and authorization (OAuth2, JWT) Integrate with 3rd-party APIs and external services Optimize system performance and monitor API uptime Write unit/integration tests More ❯
AWS, GCP, or Azure) and containerization (Docker, Kubernetes). Strong understanding of CI/CD pipelines, DevOps practices, and software deployment strategies. Deep knowledge of database technologies (SQL and NoSQL) and performance optimization techniques. Experience in software testing, including test automation, performance testing, and security testing. Familiarity with Agile development methodologies and modern product engineering practices. Excellent problem-solving, analytical More ❯
C++) and experience with DevOps practices (CI/CD). Familiarity with containerization (Docker, Kubernetes), RESTful APIs, microservices architecture, and big data technologies (Hadoop, Spark, Flink). Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB), message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Experience with natural language processing libraries such as NLTK, spaCy, or Hugging Face More ❯
familiarity with RESTful APIs and service-orientated architecture for building and integrating web services. Solid understanding of database technologies , including both relational (SQL, e.g., PostgreSQL, MySQL) and non-relational (NoSQL, e.g., MongoDB) databases. Practical experience with version control systems , particularly Git, and associated workflows (e.g., Gitflow). What we offer : Excellent salary Employer matched pension 30 days annual leave + More ❯
and Kinesis. Azure: Proficiency in services like Azure Blob Storage, Azure Data Lake, VMs, Azure Functions, Azure SQL Database, HDInsight, and Azure Machine Learning Studio. Data Storage & Databases: SQL & NoSQL Databases: Experience with databases like PostgreSQL, MySQL, MongoDB, and Cassandra. Big Data Ecosystems: Hadoop, Spark, Hive, and HBase. Data Integration & ETL: Data Pipelining Tools: Apache NiFi, Apache Kafka, and Apache More ❯
Provided Where Needed) Experience deploying to cloud platforms (preferably AWS ). Containerisation (Docker, Kubernetes). Infrastructure as Code (Ansible, Terraform). Exposure to various data storage technologies (SQL/NoSQL/Graph). Clearance: Applicants must be eligible for SC clearance to start and willing to go through Enhanced SC . Reference : AMC/JWH/TLL1 More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Anson McCade
Provided Where Needed) Experience deploying to cloud platforms (preferably AWS ). Containerisation (Docker, Kubernetes). Infrastructure as Code (Ansible, Terraform). Exposure to various data storage technologies (SQL/NoSQL/Graph). Clearance: Applicants must be eligible for SC clearance to start and willing to go through Enhanced SC . Reference : AMC/JWH/TLL1 More ❯
datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience More ❯
datasets and complex data pipelines. Experience with data architecture design and data pipeline optimization. Proven expertise with Databricks, including hands-on implementation experience and certifications. Experience with SQL and NoSQL databases. Experience with data quality and data governance processes. Experience with version control systems (e.g., Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience More ❯
GitLab CI). • Excellent communication, collaboration, and technical documentation skills. Preferred Qualifications: • Exposure to mobile application development lifecycle, backend-for-frontend (BFF) patterns, and mobile performance optimization. • Experience with NoSQL databases (e.g., MongoDB, Cassandra). • Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes). • Knowledge of event-driven or reactive architectures, messaging systems (Kafka, RabbitMQ), or domain More ❯
GitLab CI). • Excellent communication, collaboration, and technical documentation skills. Preferred Qualifications: • Exposure to mobile application development lifecycle, backend-for-frontend (BFF) patterns, and mobile performance optimization. • Experience with NoSQL databases (e.g., MongoDB, Cassandra). • Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes). • Knowledge of event-driven or reactive architectures, messaging systems (Kafka, RabbitMQ), or domain More ❯
GitLab CI). • Excellent communication, collaboration, and technical documentation skills. Preferred Qualifications: • Exposure to mobile application development lifecycle, backend-for-frontend (BFF) patterns, and mobile performance optimization. • Experience with NoSQL databases (e.g., MongoDB, Cassandra). • Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration (Kubernetes). • Knowledge of event-driven or reactive architectures, messaging systems (Kafka, RabbitMQ), or domain More ❯
architecture Familiar with AWS, Unix/Linux, Git, SQL, and REST Bonus Points for Experience or interest in: Functional programming languages such as Scala, Haskell and Clojure Relational and NoSQL databases such as PostgreSQL and MongoDB DevOps such as Terraform, Fargate and Kubernetes Frontend development such as Node.js and React Messaging protocols Internal and external DSL's Single sign-on More ❯
APIs. Cloud and Deployment Knowledge: Familiarity with cloud environments (AWS, Google Cloud, etc.), and technologies such as Docker, Kubernetes, and Terraform. Database Knowledge: Experience working with both SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Version Control Systems: Proficient in Git and understanding of workflows such as GitFlow. API-First Design: Experience in building and maintaining robust, flexible APIs with More ❯
Cognitive Services, Cosmos DB, Azure Service Bus and Azure Kubernetes Service. Containerisation Technology (Docker, Kubernetes, Nginx). Strong SQL Server skillset, including T-SQL. Experience of building solutions incorporating NoSQL Databases such as Redis, MongoDB, AWS DynamoDB, or Azure Cosmos DB. Experience of TDD and Unit Testing Frameworks, such as MSTest or NUnit. Git Source Control, with GitHub or Azure More ❯
APIs. Cloud and Deployment Knowledge: Familiarity with cloud environments ( AWS , Google Cloud, etc.), and technologies such as Docker, Kubernetes and Terraform. Database Knowledge: Experience working with both SQL and NoSQL databases (e.g., PostgreSQL, MongoDB). Version Control Systems: Proficient in Git and understanding of workflows such as GitFlow. API-First Design: Experience in building and maintaining robust, flexible APIs with More ❯
production-grade deployment. Collaborate with platform teams to ensure scalability, resilience, and observability of data pipelines. Database Engineering: Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data … 8+ years of experience in data engineering within a production environment. Advanced knowledge of Python and Linux shell scripting for data manipulation and automation. Strong expertise in SQL/NoSQL databases such as PostgreSQL and MongoDB. Experience building stream processing systems using Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services More ❯
production-grade deployment. Collaborate with platform teams to ensure scalability, resilience, and observability of data pipelines. Database Engineering: Write and optimize complex SQL queries on relational (Redshift, PostgreSQL) and NoSQL (MongoDB) databases. Work with ELK stack (Elasticsearch, Logstash, Kibana) for search, logging, and real-time analytics. Support Lakehouse architectures and hybrid data storage models for unified access and processing. Data … 8+ years of experience in data engineering within a production environment. Advanced knowledge of Python and Linux shell scripting for data manipulation and automation. Strong expertise in SQL/NoSQL databases such as PostgreSQL and MongoDB. Experience building stream processing systems using Apache Kafka . Proficiency with Docker and Kubernetes in deploying containerized data workflows. Good understanding of cloud services More ❯
to work on a vast variety of projects and get exposure to a variety of technology such as (but not exhaustively) NodeJS, Java, Kotlin, Spring boot framework, RESTful microservices, NoSQL databases. YOUR PROFILE Required Extensive experience of building microservices withJava (Spring Boot) Experience using version control software - Git Experience using Docker, Docker Compose Experience with CI/CD (Gitlab, GitHub … Experience with cloud technologies such AWS or Azure Experience working in an agile team environment Familiarity using Infrastructure as Code tools such as Terraform Familiarity building and integrating with NoSQL database (familiarity with MongoDB is preferred) or SQL databases such as Postgres Familiarity with web standards, accessibility, and development best practice Bonus: Building microservices in C# Experience building solutions that More ❯
Angular, Spring, .NET, Django). Understanding of data structures, algorithms, and software design principles. Familiarity with version control tools like Git. Experience working with databases (SQL and/or NoSQL). Strong problem-solving and communication skills. Ability to work both independently and in a collaborative team environment. Preferred Qualifications: Master’s degree in a related field. Experience with cloud More ❯
to the success driving innovation and excellence in our network infrastructure. Essential Technical Skills: Front-end: Angular, TypeScript Back-end: Java, Python, Spring Boot Database: MongoDB, PL/SQL,NOSQL API Development: RESTful APIs Version Control: Git CI/CD: TeamCity Desirable Skills: Docker and Containerization Monitoring and Logging (e.g., Prometheus, Grafana, ELK Stack) Cloud Platforms (AWS, Azure, Google Cloud More ❯
