51 to 75 of 85 AWS Step Functions Jobs in the UK

best practices.· Proven experience with automated testing frameworks (e.g. Zypher, Pytest).· Experience with cloud technologies, cloud native application and infrastructure as code (e.g., AWS/Azure/CGP, Kubernetes, Helm, Terraform).· Knowledge of DevOps culture and practices. Experience and Skills (Nice to have)· Previous experience building … fundamentals· Experience with Neo4J, GraphQL for efficient data querying for APIs,· CI/CD tools (e.g. Github Actions, Gitlab CI) for automating deployments· Other AWS Managed Services (RDS, Batch, Lambda, Fargate, Step Functions, SQS/SNS, etc.)· FastAPI and NextJS experience (if we're still using ...

afraid to invest to keep it cutting edge! As such we’ve recently completed major projects which included distributing our main rules engine using AWS services, migrated terabytes of data from SQL server to Aurora Postgres, replaced our Single Sign On service with Auth0 and converted our frontend … React. Our Tech Stack Back-end: C# Data storage: PostgreSQL; Amazon storage including Aurora, DynamoDB, S3 Infrastructure: Terraform and AWS, using Fargate, Lambdas, Step functions, and a lot more! Pipeline: GitHub Actions, TeamCity, Octopus Deploy, Serverless Front-end: React, TypeScript How We Work FundApps engineers have ...

beyond routine approaches to solve technical problems. Design, develop, and maintain scalable data pipelines and processing workflows using Python, PySpark, SQL, and Databricks on AWS, processing and transforming large-scale financial datasets for analytics and reporting. Develop fact and dimension data models for reporting and analytics. Write secure, high … PySpark, with experience in query optimization and performance tuning. Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar). Experience with AWS cloud services (S3, ECS, SNS/SQS, Lambda, etc.). Strong understanding of data quality, security, and lineage best practices. Experience with cloud-based ...

beyond routine approaches to solve technical problems. Design, develop, and maintain scalable data pipelines and processing workflows using Python, PySpark, SQL, and Databricks on AWS, processing and transforming large-scale financial datasets for analytics and reporting. Develop fact and dimension data models for reporting and analytics. Write secure, high … PySpark, with experience in query optimization and performance tuning. Hands-on experience with data lake platforms (Databricks, Apache Spark, or similar). Experience with AWS cloud services (S3, ECS, SNS/SQS, Lambda, etc.). Strong understanding of data quality, security, and lineage best practices. Experience with cloud-based ...

quality assurance.Collaboration: Engage with business and technology teams to align the platform with organizational goals.Mandatory Skillsets: Python, Snowflake, dbt, dremio, glue jobs, Apache iceberg, AWS ,SQL.Preferred Technical Skills:Programming: 5+ years of experience in Python/Java.Cloud Expertise: Strong understanding of AWS services (e.g., Lambda, Step Functions … Snowflake and data stack technologies like Apache Iceberg and Spark.Workflow Orchestration: Exposure to tools like Apache Airflow, Prefect, Dagster, or DBT.Data Services: Familiarity with AWS Glue, Lake Formation, EMR, EventBridge, Athena, and similar services.Metadata Tools: Experience with tools like Amundsen, Atlas, DataHub, OpenDataDiscovery, or Marquez.RDBMS: Knowledge of PostgreSQL ...

Luxoft is leading a strategic data engineering engagement to migrate an enterprise data processing estate from Matillion to AWS Glue for a world-class financial market infrastructure client. During Mobilisation, you will reverse-engineer the current landscape, design target-state architecture, and build a detailed delivery blueprint to enable ...

experience within Solution Architecture environments Recent experience focused on AI, Generative AI or Agentic AI solutions Proven experience delivering production-grade AI solutions on AWS Strong knowledge of AWS Bedrock, Lambda, Step Functions and related services Experience designing AI agents, multi-agent systems and intelligent workflow ...

afraid to invest to keep it cutting edge! As such we’ve recently completed major projects which included distributing our main rules engine using AWS services, migrated terabytes of data from SQL server to Aurora Postgres, replaced our Single Sign On service with Auth0 and converted our frontend … React. Back-end: C# Infrastructure: Terraform and AWS, using Fargate, Lambdas, Step functions, and a lot more! Pipeline: GitHub Actions, TeamCity, Octopus Deploy, Serverless Front-end: React, TypeScript How We Work FundApps engineers have a lot of freedom to solve problems in a way that achieves ...

looking for a hands-on Senior Solution Architect (AWS) to join our team in London, United Kingdom, in a hybrid working mode. This role focuses on leading a diverse portfolio of initiatives, including on-prem to AWS migration, operational risk remediation, regulatory compliance, and platform modernization. … maintaining stability of critical platforms. Responsibilities Design and deliver scalable, resilient solutions across legacy and modern platforms Drive migration from on-prem environments to AWS cloud services Lead architecture for initiatives focused on risk mitigation, regulatory compliance, and resiliency Define target architectures and transition roadmaps, making sound trade-offs ...

streaming environments that deliver AVEVA's Unified Engineering products to customers as a Software as a Service (SaaS) platform on Amazon Web Services (AWS).You will work across serverless APIs, identity and access flows, Windows-centric infrastructure, and desktop streaming technologies. You will contribute to CI/… know everything from day one, but you will be expected to have the curiosity, drive, and resilience to grow quickly. Key responsibilities Build scalable AWS SaaS services: contribute to the design, development, and support of highly available platform components. Develop integrations and serverless capabilities: deliver and maintain APIs ...

create tomorrow, together, today. About the role and team: Role overview CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform, working alongside AWS. The Senior Data Engineer (ML) sits in the Databricks workstream team (Delivery Manager, Lead ML Ops Engineer … migrated models Implement parity and statistical testing to prove migrated pipelines/models match Databricks outputs Handle data migration/integration between Databricks and AWS: storage, permissions, IAM alignment Work within CI/CD and IaC patterns for pipeline deployment; document runbooks and hand over to Evoke teams Collaborate ...

create tomorrow, together, today. About the role and team: Role overview CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform, working alongside AWS. The Senior Data Engineer (ML) sits in the Databricks workstream team (Delivery Manager, Lead ML Ops Engineer … migrated models Implement parity and statistical testing to prove migrated pipelines/models match Databricks outputs Handle data migration/integration between Databricks and AWS: storage, permissions, IAM alignment Work within CI/CD and IaC patterns for pipeline deployment; document runbooks and hand over to Evoke teams Collaborate ...

create tomorrow, together, today. About the role and team: Role overview CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform, working alongside AWS. The Senior Data Engineer (ML) sits in the Databricks workstream team (Delivery Manager, Lead ML Ops Engineer … migrated models Implement parity and statistical testing to prove migrated pipelines/models match Databricks outputs Handle data migration/integration between Databricks and AWS: storage, permissions, IAM alignment Work within CI/CD and IaC patterns for pipeline deployment; document runbooks and hand over to Evoke teams Collaborate ...

create tomorrow, together, today. About the role and team: Role overview CreateFuture is delivering the migration of an ML estate from Databricks to an AWS SageMaker-based MLOps platform, working alongside AWS. The Senior Data Engineer (ML) sits in the Databricks workstream team (Delivery Manager, Lead ML Ops Engineer … migrated models Implement parity and statistical testing to prove migrated pipelines/models match Databricks outputs Handle data migration/integration between Databricks and AWS: storage, permissions, IAM alignment Work within CI/CD and IaC patterns for pipeline deployment; document runbooks and hand over to Evoke teams Collaborate ...

Technology supporting the ETFs business. What you will be doing: AI‐accelerated engineering: institutionalize daily use of AI tools (e.g., GitHub Copilot, Claude, ChatGPT, AWS Bedrock) for coding, tests, documentation, and prototyping; set review standards for AI‐generated code. Design, build, and maintain data engineering workflows and platform services … workflows. Implement and support distributed, event-driven architectures (e.g., Kafka, asynchronous workflows) for scalable platform execution. Develop and maintain cloud-native applications on AWS (e.g., Lambda, S3, ECS/EKS, Step Functions, Aurora).Design and operate CI/CD pipelines and deployment processes to ensure reliable ...

inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Strong AWS background, including serverless orchestration (Step Functions/Lambda), container deployment (ECS/EKS), and managed data services Proven track record designing and evolving … mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part ...

Join Microlise as a Senior AWS Data Engineer on a 12-month fixed term contract and help build the data foundations behind the next generation of customer-facing analytics and AI products. This is a hands-on engineering role in a major cloud data platform programme, where … into trusted, reusable data products that power dashboards, APIs, self-service analytics, machine learning and future generative AI services. You’ll work with modern AWS managed services, lakehouse architecture, Data Mesh principles and governance-by-design patterns to create data that is reliable, discoverable, secure and ready for real ...

Mapbox’s strategic navigation initiatives in consumer, automotive, and logistics. This is a highly multidisciplinary team, with work spanning distributed systems on AWS to geospatial localization, traffic telemetry, and mapping. As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development … Traits for This Role 5+ years of experience building scalable high volume low latency backend services Proficiency in our tech stack — Python, TypeScript (backend), AWS (CDK/ECS/Step Functions/Lambda/S3) Familiarity with code versioning tools, such as GitHub Ability to engage, learn ...

just getting started. The role is leading the Group data&ML teamThe team is a central function that works both with other central group functions like marketing and game solutions, and the game studios which are part of Tripledot. Within the team, you'll be working with other … Data scientists, analysts and product owners. Role OverviewWe are looking for a practical, commercially-minded, results-oriented person to collaborate with studios and group functions and lead AI/ML/Data initiatives that will leverage our group's scale, help bring new capabilities that will enhance our games ...

architecture and design decisions for real-time, secure, and performant data flows between AWS, Salesforce, and Dynamics 365 F&O. This is a design-and-leadership role: the architect sets the integration patterns, standards, and performance targets, and leads a small development team to build against them. AWS … experience is the key requirement for this contract. What you'll do: Design serverless, event-driven integration patterns on AWS (Lambda, SQS, SNS, EventBridge, Step Functions) Make the architecture-level calls on Salesforce integration (REST/SOAP, Platform Events, Bulk API, Salesforce Connect) and on D365 ...

hands-on Backend Developer to build production serverless services for a fintech platform. You will work with TypeScript and Node.js (18–22) on AWS Lambda, DynamoDB, S3, SQS, EventBridge, and Step Functions to deliver reliable microservices. You design REST APIs with type-safe schemas, model data ...

evaluate model performance and user behavior. Utilise our extensive data infrastructure to uncover insights that drive the AI product roadmap forward. Tech Stack Includes: AWS: EC2, Athena, S3, Kinesis, Lambda, Step Functions, RDS, QuickSight Languages & Frameworks: Python, Spark, TensorFlow, LLMs & LLM coding tools Databases & Search: MySQL, PostgreSQL ...

integration architecture standards, patterns and reference models, with a particular focus on API-led and event-driven integration. Design and assure integrations deployed within AWS and Boomi, ensuring effective use of cloud-native services and delivering robust API management, messaging, orchestration and security requirements for resilience. Define and govern … multidisciplinary delivery environments. Experience working in large public sector organisations with an understanding of government digital service standards and governance processes. Expert knowledge of AWS Cloud architecture, with practical experience of integration and API services including: API Gateway Lambda EventBridge SNS/SQS Step Functions ECS/ ...

AWS. Translate business problems into secure, scalable, production-grade AI systems using Amazon Bedrock, retrieval-augmented generation (RAG), agentic workflows, and cloud-native AWS services. Drive architecture standards, model orchestration, governance, observability, and operational excellence across the GenAI lifecycle while collaborating with engineering, security, compliance, and business stakeholders**Hybrid … noting that you will be unable to work at home 100% of the time.**Your Role:*** Lead architecture and implementation of GenAI applications using AWS services, especially large language model capabilities such as Amazon Bedrock* Define reusable architecture patterns for model customization, prompt orchestration, retrieval pipelines, and agentic workflows ...

week. This role requires the ability to hold an active security clearance. Skills : Python and SQL . Apache Airflow for DAG orchestration and monitoring. AWS data services: Redshift , OpenSearch , Lambda , Glue , Step Functions , Batch . CI/CD pipelines and YAML-based configuration Seniority level Mid-Senior ...