Central London, London, United Kingdom Hybrid / WFH Options
Halian Technology Limited
ensure software quality Collaborate on system design and architecture in a distributed AWS environment Implement CI/CD pipelines and deploy applications using AWS services (e.g., ECS, Lambda, DynamoDB, S3) Participate in code reviews, sprint planning, and retrospectives Monitor and troubleshoot production systems; respond to incidents when needed Required Skills & Experience: 3+ years of professional software engineering experience Strong More ❯
Skills & Qualifications: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. • 10+ years of experience in data engineering. • Strong hands-on experience with AWS services: S3, Glue, Lake Formation, Athena, Redshift, Lambda, IAM, CloudWatch. • Proficiency in PySpark, Python, DBT, Airflow, Docker and SQL. • Deep understanding of data modeling techniques and best practices. • Experience with CI More ❯
You’ll have the autonomy to make technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack AWS (Core services - EC2, S3, IAM, etc.) Kubernetes (building and managing production clusters) Terraform (for full IaC provisioning) Python (scripting, automation) GitHub Actions (CI/CD pipelines) Docker & Helm (for containerised app deployments) What More ❯
best practices in devops, aws, and java development. Skill Requirements: Proficient in devops methodologies and tools such as jenkins, docker, and kubernetes. Strong understanding of aws services like ec2, s3, rds, and lambda. Expertise in java programming and frameworks like spring and hibernate. Handson experience in designing and implementing scalable and secure cloud architectures. Ability to troubleshoot complex system More ❯
engineering principles, REST APIs, and asynchronous programming Experience with modern frontend development, ideally with React Nice to Have: Experience with NestJS Cloud experience with AWS services (Lambda, API Gateway, S3, etc.) Exposure to payments or fintech environments This role is 3 days on site in central London and offers a quick 2 - 3 stage interview process with interview slots More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Anson McCade
2.0 modelling Real-time and streaming data know-how Hands-on with tools like Erwin, Lucidchart, PowerDesigner Strong SQL and Python skills (Snowflake or similar) AWS experience (Lambda, SNS, S3, EKS, API Gateway) Familiarity with data governance (GDPR, HIPAA) Bonus points for: DBT, Airflow, Atlan, Iceberg, CI/CD, API modelling The vibe: You’ll be joining a collaborative More ❯
years) for leadership and developers/testers (50 team size), • Data architect or Data transformation lead with 10-15 years of experience. • AWS data stack knowledge (Glue, Lambda, S3, Postgres, Snowflake, DBT) • Experience with Collibra (Data governance) • Knowledge or experience in Informatica ETL like Informatica BDM/IDMC • Insurance domain experience (IFRS 17, actuarial models More ❯
queries Automate pipelines using Python Leverage AWS for data and analytics Key Skills: 7–10 years in Data Warehousing & Analytics Expert in SQL & Python Strong AWS experience (e.g. Redshift, S3, Glue) Bonus: Finance domain, Power BI/Tableau More ❯
support trading applications and databases Help configure secure VPC networks, IAM roles, security groups, and VPNs for vendor access Support the setup of AWS services such as EC2, RDS, S3, and Lambda Contribute to Infrastructure-as-Code using Terraform or CloudFormation for automation Help maintain CI/CD pipelines and streamline deployment workflows Support disaster recovery and backup strategies … and accurate infrastructure documentation and operational runbooks Skills and Experience Required: 1-2 years of experience in cloud engineering, DevOps, or IT infrastructure Hands-on exposure to AWS (EC2, S3, IAM, RDS, VPC) Familiarity with Linux administration and scripting (e.g., Bash or Python) Basic understanding of networking (IP, subnets, routing, VPNs) Preferred: Exposure to Infrastructure-as-Code tools (Terraform More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Qurated
data lifecycle management, from data creation to governance Deep expertise in AWS cloud, event-driven architecture, and streaming technologies like Kafka Familiarity with data tooling such as Snowflake, Databricks, S3, and broader ecosystem awareness Strong grasp of architectural frameworks (e.g., TOGAF) and enterprise design principles Confident communicator with the ability to engage exec-level audiences and cross-functional stakeholders More ❯
Drive Engineering Excellence: Lead and manage all engineering activities across internal and external teams, ensuring high productivity and quality of execution. AWS Expertise: Strong expertise across AWS products, including S3, Glue, Spark, DBT, Terraform, and Redshift. Roadmap Prioritisation: Prioritize and manage engineering activities and personnel to deliver on a roadmap, ensuring alignment with our strategic goals as defined by … Manager: Technology Degree with at least 5 years’ experience in data Proven experience in managing engineering teams in a fast-paced environment. Knowledge of AWS services and tools, including S3, Step Functions, Spark, DBT, Terraform, and Redshift. Strong leadership and communication skills, with the ability to inspire and motivate a diverse team. Communication with stakeholders at all levels is More ❯
