field. Relevant coursework or projects in data engineering are a plus. Experience: Minimum of 1 years of experience in software development. Technical Skills: Proficiency in programming languages such as Python, Java, or Scala. Knowledge of data modeling and schema design. Familiarity with SQL skills and relational databases (e.g., PostgreSQL, MySQL). Familiarity with at least one cloud platform (e.g., AWS More ❯
transformative program,and the leadership skills to integrate existing service delivery components into a unified and high-performing model. Experience in both frontend and backend development. Proficiency in Java, Python, JavaScript, Angular, and NodeJS. Experience with RESTful APIs, microservices, and event-driven architectures. Solid understanding of data structures, algorithms, and database technologies (SQL and NoSQL). Experience with cloud technologies More ❯
in all areas listed below. AI techniques (supervised and unsupervised machine learning, deep learning, graph data analytics, statistical analysis, time series, geospatial analysis, NLP, sentiment analysis, pattern detection, etc.) Python, R, or Spark for data insights Data Bricks/Data QISQL for data access and processing (PostgreSQL preferred, but general SQL knowledge is important) Latest Data Science platforms (e.g., Databricks More ❯
Bachelor's degree in computer science, software engineering, or related field Professional experience as software engineer, preferably in a consultancy or industry setting Experience with multiple programming languages, including Python, Java, C++, Rust, or Go Experience with associated software development frameworks and tools such as pytest and OpenAPI Experience working in Unix/Linux environments Knowledge of database systems and More ❯
large scale application/data deployments, managing software or data development lifecycles, and resolving issues that impact product success Proficiency in modern programming languages and frameworks (e.g., Java, GO, Python, JavaScript, etc.). Strong understanding of cloud platforms (e.g., AWS, Azure, GCP) Strong understanding and experience of AI and MLE platforms and approaches (e.g., MCP, A2A, etc) Experience with containerization More ❯
at scale Advanced troubleshooting skills with the ability to diagnose and resolve intricate technical issues in production environments Strong knowledge in at least one scripting/programming language (PowerShell, Python, Bash) with demonstrable complex automation implementations Experience designing and implementing robust monitoring solutions and advanced alerting strategies Strong background in cloud security principles and implementation of security controls in Azure More ❯
related field 3+ years of professional software development experience Excellent problem-solving skills and a proactive approach to addressing challenges. Strong programming skills in languages such as Go, SQL, Python, Java or Scala Experience in the effective application of AI tooling in your development process A growth mindset and eagerness to work in a fast-paced, mission-driven environment Excellent More ❯
on experience with database performance tuning, security, and backup strategies. Knowledge of infrastructure technologies such as storage, networking, and containerized environments. Experience in database migration, automation, and scripting (PowerShell, Python, or Bash). Ability to work in a fast-paced, enterprise environment with multiple stakeholders. Strong problem-solving and analytical skills. Preferred Qualifications: Advanced degree in Computer Science, Information Technology More ❯
cloud infrastructure across Cloud(Azure,AWS) andon-premenvironments. Implement and maintainInfrastructure as Code(e.g.Terraform,Azure ARM/Bicep,AWS CloudFormation, andAnsible). Automate configuration management and routine tasks (e.g. Python,Bash). CI/CD & GitOps Maintain and optimizeinfrastructure, Pipeline-as-Code and shared libraries (e.g. Teamcity, Jenkins). Implement AI deployments and workflows ( e.g. GitOpsworkflows usingArgoCDorFluxCDfor Kubernetes-based AI More ❯
role in .Net and C# or Java or similar OO development language. Proficiency in C# or Java or another OO development language – alongside knowledge of scripting languages like Bash, Python or PowerShell Production experience operating containerization technologies - ideally with Kubernetes and/or Docker. Proficiency with one or more public cloud providers such as Azure, AWS or GCP Proficiency using More ❯
Role: Tech Stack: Backend :AWS Serverless Service, including Lambda, API Gateway, DynamoDB, S3, SNS,SQS, EventBridge, Kinesis, Node.js, YAML Frontend :React/Next.js, React Native Programming Languages :TypeScript; JavaScript, Python Infrastructure : Terraform, GitHub CI/CD pipelines Responsibilities: Provide technical leadership and mentorship to your team. As a Senior Full-stack Software Engineer, you will be responsible for guiding and More ❯
2+ years of experience in a DevOps or Site Reliability Engineering role • You're experienced with deploying and managing AI-based products in production environments • You are fluent in Python • You have experience with containerization technologies such as Docker and Kubernetes • You have experience with CI/CD pipelines and automated deployment tools • You have deep understanding of cloud platforms More ❯
Java, Spring Boot and Microservices. Strong understanding of Agile and DevOps practices, with a focus on continuous integration and delivery. Some proficiency in one or more programming languages (e.g., Python, Java, JavaScript) and experience with software architecture patterns. Experience with cloud platforms (e.g., AWS, Azure, GCP) and infrastructure as code. Familiarity with CI/CD pipelines, automated testing, and modern More ❯
e.g., PostGIS, GDAL, GeoServer). Technical Skills: Expertise in big data frameworks and technologies (e.g., Hadoop, Spark, Kafka, Flink) for processing large datasets. Proficiency in programming languages such as Python, Java, or Scala, with a focus on big data frameworks and APIs. Experience with cloud services and technologies (AWS, Azure, GCP) for big data processing and platform deployment. Strong knowledge More ❯
with SIEM tools, vulnerability management, malware analysis, and firewall configurations. Ability to communicate complex technical solutions to a wide range of audiences, both technical and non-technical. Skilled in Python, JSON, YAML, Bash, or other relevant scripting languages. 3–5 years of experience in Technical Support, or similar hands-on roles. Bachelor’s/Master’s degree in a technical More ❯
with SIEM tools, vulnerability management, malware analysis, and firewall configurations. Ability to communicate complex technical solutions to a wide range of audiences, both technical and non-technical. Skilled in Python, JSON, YAML, Bash, or other relevant scripting languages. 3–5 years of experience in Technical Support, or similar hands-on roles. Bachelor’s/Master’s degree in a technical More ❯
available from junior to senior level and we are looking for data engineers who have a variety of different skills which include some of the below. • Strong proficiency in Python • Extensive experience with cloud platforms (AWS, GCP, or Azure) • Experience with: o Data warehousing and lake architectures o ETL/ELT pipeline development o SQL and NoSQL databases o Distributed More ❯
team members. Your Skills And Experience Extensive experience of DevOps/MLOps experience with a strong focus on building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services (AWS) - SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS More ❯
with opportunities to mentor and get involved in wider tech and cyber skills initiatives Experience required Strong background in software engineering with one or more languages (Java, JavaScript, .Net, Python) Hands-on experience with version control (Git, Mercurial, etc.) and CI/CD tools (Jenkins, Bamboo, TeamCity, Bitbucket) Proven track record delivering in agile environments (Scrum, Kanban, Lean) Understanding of More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Anson McCade
with opportunities to mentor and get involved in wider tech and cyber skills initiatives Experience required Strong background in software engineering with one or more languages (Java, JavaScript, .Net, Python) Hands-on experience with version control (Git, Mercurial, etc.) and CI/CD tools (Jenkins, Bamboo, TeamCity, Bitbucket) Proven track record delivering in agile environments (Scrum, Kanban, Lean) Understanding of More ❯
london, south east england, united kingdom Hybrid / WFH Options
Anson McCade
with opportunities to mentor and get involved in wider tech and cyber skills initiatives Experience required Strong background in software engineering with one or more languages (Java, JavaScript, .Net, Python) Hands-on experience with version control (Git, Mercurial, etc.) and CI/CD tools (Jenkins, Bamboo, TeamCity, Bitbucket) Proven track record delivering in agile environments (Scrum, Kanban, Lean) Understanding of More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Anson McCade
with opportunities to mentor and get involved in wider tech and cyber skills initiatives Experience required Strong background in software engineering with one or more languages (Java, JavaScript, .Net, Python) Hands-on experience with version control (Git, Mercurial, etc.) and CI/CD tools (Jenkins, Bamboo, TeamCity, Bitbucket) Proven track record delivering in agile environments (Scrum, Kanban, Lean) Understanding of More ❯
outputs Key technical skills, knowledge and professional qualifications provided: Databases – has a deep understanding of relational databases Use DevOps methods and work in an Agile environment Programming - expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows Has expertise in SQL AI and Machine Learning knowledge as it applies More ❯
