on-premise production deployments Qualifications Bachelor's degree (or equivalent) in Computer Science or a related field Strong coding skills with demonstrated proficiency in programming languages, such as Go, Python, Rust, Java, or similar languages 5+ years' experience building highly scalable distributed systems and services Experience building applications in a service-oriented architecture Excellent communication and collaboration skills Excellent problem More ❯
our clients WHAT WE'RE LOOKING FOR Bachelor's degree or higher in an applicable field such as Computer Science, Statistics, Maths or similar Science or Engineering discipline Strong Python and other programming skills (Java and/or Scala desirable) Strong SQL background Some exposure to big data technologies (Hadoop, spark, presto, etc.) NICE TO HAVES OR EXCITED TO LEARN More ❯
Our Tech Stack Cloud Data Warehouse - Snowflake AWS Data Solutions - Kinesis, SNS, SQS, S3, ECS, Lambda Data Governance & Quality - Collate & Monte Carlo Infrastructure as Code - Terraform Data Integration & Transformation - Python, DBT, Fivetran, Airflow CI/CD - Github Actions/Jenkins Business Intelligence - Looker Experience and Attributes we'd like to see Platform Engineering Expertise Extensive experience in platform engineering; designing More ❯
fostering growth and skill development. Skills and Experience Delivering significant and valuable analytics projects/assets in industry and/or professional services. Proficiency in programming languages such as Python or R, with extensive experience with LLMs, ML algorithms, and models. Experience with cloud services like Azure ML Studio, Azure Functions, Azure Pipelines, MLflow, Azure Databricks, etc., is a plus. More ❯
in a related field such as Computer Science, Computer Engineering, or other software/design discipline. OUR TECH STACK Backend: PHP 8.2/Symfony 7, REST, API Platform, NodeJS, Python, Rust. Frontend: TypeScript, Angular 19. Mobile: Android (Kotlin), iOS (Swift) Desktop: Cross platform desktop app built with Electron (TypeScript) Database: MySQL (Aurora DB), Redis (ElastiCache), MongoDB (AWS DocumentDB) Cloud & DevOps More ❯
at AWS. BASIC QUALIFICATIONS Recent graduate within the last 24 months, an associates, bachelors or master's degree Experience with one of the following programming languages/technologies: Java, Python, Ruby, Node.js, C, or C++ Experience with one or more of the following: networking fundamentals, security, databases (relational and/or NoSQL), operating systems (Unix, Linux, and/or Windows More ❯
Architect, DevOps Engineer, etc. - Understanding of DevOps practices and tools, including: Continuous Integration/Deployment, Puppet, Docker, Kubernetes, Chef etc. - Programming or scripting skills with a combination of Java, Python Perl, Ruby, C#, and/or PHP - Operational experience in migrating to and/or implementing best practices for Enterprise-class distributed computing environments Amazon is an equal opportunities employer. More ❯
services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation). - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred. - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences. - Technical experience preferred, knowledge More ❯
influence the development of our engineering-driven culture. You should apply if you have: Strong core programming skills in a server-side language such as C++, Java, Rust or Python 5+ years professional experience Front-end development experience in TypeScript or JavaScript, using frameworks such as Angular or React A degree in Computer Science, Engineering, or a related technical/ More ❯
analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong working knowledge of data lineage and data dictionary management. Proficiency in SQL, Python, R, or other data science tools and frameworks. Experience leading data or analytics teams and mentoring junior staff. Strong communication and stakeholder management skills. Working experience of below skill sets More ❯
analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong working knowledge of data lineage and data dictionary management. Proficiency in SQL, Python, R, or other data science tools and frameworks. Experience leading data or analytics teams and mentoring junior staff. Strong communication and stakeholder management skills. Working experience of below skill sets More ❯
Software Engineering, or a related field. You have 2+ years of experience in Software, Data, or ML engineering roles (preferred). You bring strong problem-solving skills, proficiency in Python, and familiarity with ML frameworks like TensorFlow or PyTorch . You have exposure to cloud platforms (e.g., AWS, GCP), containerization (Docker, Kubernetes), and scalable data systems (e.g., Spark, Kafka). More ❯
accordingly. At least five years of experience in all aspects of the data engineering role, ideally as a senior or lead engineer. Hands on experience of building and maintaining Python based Azure data bricks notebooks in Azure synapse analytics. Strong SQL experience, including programming ie, SQL queries and stored procedures, and formal database design methodologies. Experience in setting up monitoring More ❯
An Ideal Candidate Should Have BS/MS/PhD in Computer Science or a related field. 5+ years of industry experience in software development. Proficiency with bash/Python scripting in Linux environments Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP) Experience with web crawlers, large More ❯
analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong working knowledge of data lineage and data dictionary management. Proficiency in SQL, Python, R, or other data science tools and frameworks. Experience leading data or analytics teams and mentoring junior staff. Strong communication and stakeholder management skills. Working experience of below skill sets More ❯
london (city of london), south east england, united kingdom
Genpact
analytics, data science, and data modeling. Proven experience in building and maintaining enterprise-level data models. Strong working knowledge of data lineage and data dictionary management. Proficiency in SQL, Python, R, or other data science tools and frameworks. Experience leading data or analytics teams and mentoring junior staff. Strong communication and stakeholder management skills. Working experience of below skill sets More ❯
with Windows and Linux operating systems. Familiarity with relational databases (SQL Server, Oracle, PostgreSQL). Knowledge of SOAP/JSON web services and XML. Programming experience (e.g., PowerShell, C#, Python). Awareness of cloud platforms (Azure, AWS, Google Cloud, OpenShift). Understanding of server virtualization (VMware, Hyper-V). Ability to produce clear technical documentation. Strong problem-solving and communication More ❯
product mindset in everything you do and should demonstrate a genuine curiosity for solving current and future customer challenges. We would love to hear from you if: Have strong Python and engineering skills, with experience using and applying AI to solve customer problems Can (or want to learn to) develop agentic AI systems that can automate human processes Have an More ❯
in Computer Science, Computer Engineering, or related technical field - Extensive industry experience as a Software Development Engineer in Test (SDET) or Software Development Engineer (SDE) - Strong programming skills in Python, Java, and other modern programming languages with proven expertise in architecting and implementing enterprise-level test automation frameworks - Strong understanding of software development principles, design patterns, and architectural concepts PREFERRED More ❯
data storage solutions, data migration, and database management using Azure. Familiarity with Azure DevOps for CI/CD pipelines, automation, and collaboration. Proficiency in scripting languages like PowerShell or Python for automating tasks and managing Azure resources. In-depth knowledge of Azure networking components, including hub & spoke topology, vWAN, and Azure Firewall. Experience in designing and implementing Azure resources with More ❯
to a culture of technical excellence and continuous improvement. What You'll Need 7+ years in software engineering, delivering complex distributed systems. Strong proficiency in any modern programming language (Python, Java, Go, etc.) we value depth of knowledge over specific stacks. You'll have the opportunity and support to learn new languages as part of the role. Proficiency in highly More ❯
Tableau, Power BI, Looker, or similar) Strong Excel skills, including pivot tables, advanced formulas, and data modelling Understanding of statistical concepts and data visualisation principles Optional: Programming experience in Python or R for data analysis Business Acumen Ability to learn core business metrics across departments and ability to translate the requirements into business insights with the support of the leadership More ❯
ML systems twhich receive billions of requests per day Expert level know-how of designing and implemention synchronous, asynchronous and batch data processing operations Expert level programming skills in Python, along with experience in using relevant tools and frameworks such as PyTorch, FastAPI and Huggingface; strong programming skills in Java are a plus Expert level know-how of ML Ops More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
QBE Management Services (UK) Limited
business problems. Ability to derive meaningful insights from structured and unstructured datasets of varying sizes. Track record of implementing impactful models that drive sustained business results. Proficiency in the Python data science tech stack (pandas, scikit-learn, NumPy, and visualisation libraries) Experience working in a Linux-based cloud environment (e.g. GCP, Azure, AWS). Experience using git version control. Communication More ❯
analytics and automation solutions in a consulting or enterprise environment. Excellent communication and stakeholder management skills. Strong understanding of machine learning, deep learning, NLP, and statistical modelling. Proficiency in Python, R, SQL, and cloud platforms (Azure, AWS, or IBM Cloud). Experience working with clients in sectors such as financial services, healthcare, or public sector is desirable. Preferred technical and More ❯
