practices & mentor junior devs What we’re looking for: 5+ years software engineering, incl. 3+ in Go Strong background in microservices & distributed systems Experience with AWS/Azure/GCP Hands-on with CI/CD, Git, YAML, monitoring tools Excellent problem-solver, proactive communicator, team player Perks: 💻 Fully remote (UK) with high-end kit provided 📈 Annual reviews + More ❯
PySpark. Experience with data engineering tools (e.g., Airflow, Kafka, SQL, Parquet). Solid understanding of commodities markets , trading workflows, and financial instruments. Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). Proven ability to work in fast-paced, high-pressure environments with direct exposure to the Front Office. Excellent communication skills and ability to translate technical More ❯
Senior Lead Data Engineer (Snowflake, Databricks, Apache Iceberg, Spark + SQL workload optimizations) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment More ❯
Senior Lead Data Engineer (Snowflake, Databricks, Apache Iceberg, Spark + SQL workload optimizations) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment More ❯
Senior Lead Data Engineer (Snowflake, Databricks, Apache Iceberg, Spark + SQL workload optimizations) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Az-Tec Talent
delivery background. Familiarity with tools such as dbt, Fivetran, Matillion , or similar. Programming skills in Python, Java, or Scala . Cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP). Knowledge of DataOps, CI/CD , and infrastructure-as-code concepts. What’s on Offer Hybrid working model (2–3 days per week in London). Competitive salary More ❯
delivery background. Familiarity with tools such as dbt, Fivetran, Matillion , or similar. Programming skills in Python, Java, or Scala . Cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP). Knowledge of DataOps, CI/CD , and infrastructure-as-code concepts. What’s on Offer Hybrid working model (2–3 days per week in London). Competitive salary More ❯
a Data Engineer in an Agile environment Proficiency with Python, Java or Scala, plus SQL and NoSQL databases Experience with SQL Server/SSRS Cloud experience (AWS, Azure or GCP) and familiarity with Docker/Kubernetes Strong problem-solving skills, attention to detail, and a quality-driven mindset Experience with CI/CD pipelines and writing complex queries Excellent communication More ❯
and OpenShift Virtualization. Mandatory Skills Infrastructure as Code tools (Terraform, Ansible, etc.). OpenShift Virtualization and Kubernetes. Scripting languages (e.g., Bash, Python) for automation tasks. Cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. CI/CD tools (Jenkins, GitLab, ArgoCD, etc.). Desirable Skills Networking, storage, and virtualization concepts. Version control systems (Git) and collaborative development workflows. Security best More ❯
and OpenShift Virtualization. Mandatory Skills Infrastructure as Code tools (Terraform, Ansible, etc.). OpenShift Virtualization and Kubernetes. Scripting languages (e.g., Bash, Python) for automation tasks. Cloud platforms (AWS, Azure, GCP) and hybrid cloud environments. CI/CD tools (Jenkins, GitLab, ArgoCD, etc.). Desirable Skills Networking, storage, and virtualization concepts. Version control systems (Git) and collaborative development workflows. Security best More ❯
Role: NodeJS. Developer Location: Sterling Virginia (Locals to Virginia will be required) Hybrid model: 3-4 days onsite a week is mandatory. COMPLETE REMOTE IS NOT AVAILABLE. Position type: W2 contract. Job Description: We are seeking a skilled Node.js Developer More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices (version control, testing … in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal skills — able to More ❯
SR2 | Socially Responsible Recruitment | Certified B Corporation™
well-defined analytical problems and evidence-based recommendations. Scoping and delivering complex technical projects end-to-end. Designing and implementing cloud-based or hybrid data solutions (AWS, Azure, or GCP). Applying advanced analytical and statistical methods to uncover insights and support decision-making. Writing maintainable, production-quality code (Python or similar) and adhering to best practices (version control, testing … in a STEM discipline. Proven expertise in data science, analytics, or applied machine learning. Strong coding ability in Python (or equivalent), with familiarity across cloud platforms (AWS, Azure, or GCP). Understanding of database technologies (SQL and NoSQL). Experience with CI/CD pipelines, software engineering best practice, and modern development workflows. Excellent communication and interpersonal skills — able to More ❯
field (or equivalent experience). 7+ years in infrastructure engineering with at least 3 years in an architecture or design role. Strong experience with cloud platforms (e.g., AWS, Azure, GCP). In-depth knowledge of networking, virtualization, storage, and security concepts. Familiarity with infrastructure-as-code (e.g., Terraform, CloudFormation). Hands-on experience with monitoring tools, CI/CD pipelines More ❯
with Git and build tools such as Maven or Gradle Nice to have Experience with React, JavaScript, HTML and CSS Familiarity with cloud platforms such as AWS, Azure or GCP Knowledge of CI/CD tools such as Jenkins or GitHub Actions Experience with microservices and database technologies like PostgreSQL or MySQL This is an opportunity to join a modern More ❯
City of London, London, United Kingdom Hybrid/Remote Options
Billigence
data tools such as dbt, Fivetran, Matillion, or similar data integration platforms Programming skills in Python, Java, or Scala Relevant cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid/remote working environment More ❯
data tools such as dbt, Fivetran, Matillion, or similar data integration platforms Programming skills in Python, Java, or Scala Relevant cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data quality frameworks, and metadata management Benefits: Hybrid/remote working environment More ❯
state management, and API development. Strong background in designing micro frontend (MFE) architectures and optimising CI/CD, automation, and testing practices. Extensive experience with cloud-native environments (preferably GCP and Azure, AWS experience will also be considered), containerisation, and infrastructure tools (Docker, Kubernetes, Helm, Terraform). Skilled in performance optimisation and secure development practices Proven leadership, mentorship, and collaboration More ❯
environments (Docker/Kubernetes). Exposure to other messaging platforms (Kafka, RabbitMQ, MQ). Understanding of DevOps tools and CI/CD pipelines. Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native Solace deployments. Why Join Us? Join a multi-discipline team, delivering advanced Messaging APIs, developing tools, administering , supporting low latency, high throughput messaging system for prices, orders More ❯
environments (Docker/Kubernetes). Exposure to other messaging platforms (Kafka, RabbitMQ, MQ). Understanding of DevOps tools and CI/CD pipelines. Knowledge of cloud environments (AWS, Azure, GCP) and cloud-native Solace deployments. Why Join Us? Join a multi-discipline team, delivering advanced Messaging APIs, developing tools, administering , supporting low latency, high throughput messaging system for prices, orders More ❯
Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors. Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform. Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly More ❯
the right solution - whether leveraging existing AI tools or building custom workflows & solutions. Designing and implementing agentic systems using techniques spanning RAG, grounding, prompt engineering, and orchestration on a GCP-first stack. Building and maintaining production ML pipelines and services for non-GenAI use cases (e.g. recommender systems, customer segmentation models, marketing optimisation modules, leveraging supervised, unsupervised and/or … product sense, including Bachelor's or Master's degree in Computer Science, Engineering, or related field. Strong Python engineering skills (FastAPI, testing, typing) and experience with cloud-native development (GCP preferred). Hands-on experience with GCP Vertex AI (model endpoints, pipelines, embeddings, vector search) or equivalent cloud-native ML platforms (e.g. AWS SageMaker, Azure ML) and agent orchestration frameworks More ❯
