DataArt

Position overview
Domain: Banking / FinTech

We are looking for a Senior Business Analyst to support complex IT delivery initiatives for a large banking client. The role requires strong banking domain knowledge, enterprise IT experience, and practical use of AI tools to improve business analysis, requirements management, documentation, and stakeholder communication.

Responsibilities

• Gather, analyze, and document business, functional, and non-functional requirements.
• Use AI tools to accelerate requirements analysis, documentation, meeting summaries, backlog preparation, process analysis, and research.
• Facilitate workshops, interviews, backlog refinement, and requirement clarification sessions with business and technical stakeholders.
• Translate business needs into clear user stories, acceptance criteria, process flows, use cases, and specification documents.
• Analyze banking processes, identify gaps, dependencies, risks, business rules, and improvement opportunities.
• Support solution design by clarifying data flows, integrations, system behavior, and operational scenarios.
• Maintain and prioritize product backlog together with product owners and delivery teams.
• Support UAT planning, test scenario preparation, defect clarification, and business validation.
• Ensure requirements are aligned with banking regulations, audit expectations, security standards, and internal governance.
• Apply AI responsibly, respecting confidentiality, data privacy, compliance, and internal banking policies.
  
  Requirements
• 6+ years of experience as a Business Analyst, System Analyst, Product Analyst, or similar role.
• Strong experience with requirement collection, documentation, stakeholder management, and process analysis.
• Hands-on experience writing user stories, acceptance criteria, BRDs, FRDs, process flows, use cases, and data mapping documents.
• Good understanding of software delivery lifecycle, Agile/Scrum, and enterprise IT delivery.
• Ability to communicate effectively with both business and technical stakeholders.
• Strong analytical thinking, structured documentation, facilitation, and problem-solving skills.
• Experience with tools such as Azure DevOps, Jira, Confluence, Visio, Miro, SharePoint, Excel, and PowerPoint.
• Practical experience using AI tools such as Microsoft Copilot, ChatGPT Enterprise, Azure OpenAI, or similar for business analysis tasks.
• Understanding of AI limitations, prompt quality, human review, confidentiality, and responsible AI usage in regulated environments.
• Upper-intermediate or advanced English.
  
  
  
   

Domain: Banking / FinTech

Team

Medium team (10-20 people)

You will join a cross functional DevOps and cloud engineering team working closely with multiple Scrum teams, platform engineers, and security specialists. The team follows modern DevOps practices, collaborates across departments, and supports parallel initiatives that deliver core digital services for end users.

Position overview

We are looking for a DevOps Engineer to support internal development tools and digital development initiatives while working closely with multiple Scrum teams delivering critical mobile and web banking channels. You will focus on building, operating, and optimizing secure Azure based infrastructure, CI CD pipelines, and Kubernetes platforms that enable reliable and secure deployment of publicly facing applications.

Responsibilities

• Collaborate with Scrum teams, platform, and security departments to design, build, and maintain CI CD pipelines supporting continuous delivery
• Guide and support development teams in adopting cloud native, container based, and DevOps best practices across multiple projects
• Build, operate, and optimize secure Azure based infrastructure supporting production workloads
• Manage and support Kubernetes based platforms, ensuring stability, scalability, and governance
• Ensure effective monitoring, alerting, and overall system health across production environments
• Support secure delivery of publicly facing web and mobile applications through automated pipelines
• Contribute to proof of concepts and continuous improvements by exploring new technologies and approaches
• Act as a proactive team member working across multiple teams and stakeholders with clear and effective communication
  
  Requirements
• Strong experience designing, operating, and supporting cloud infrastructure on Microsoft Azure
• Hands on experience with CI CD tools such as Azure DevOps, GitHub Actions, or GitLab CI
• Experience with container technologies including Docker, container registries, and Kubernetes orchestration platforms
• Experience using Helm for Kubernetes application deployment
• Experience deploying secure web and mobile applications through automated delivery pipelines
• Basic programming or scripting experience with Python, Go, Bash, and Git
• Experience with Infrastructure as Code tools such as Terraform, Bicep, Pulumi, Ansible, or CloudFormation
• Experience with package and dependency management tools such as npm, Maven, Gradle, or Swift Package Manager
• Experience supporting internal development and DevOps platforms such as repository managers, Kubernetes management tools, and security or quality scanning solutions
• Strong written and spoken English communication skills

Client

Our client is one of the leading Europe’s alternative asset managers that provide effective capital solutions to meet needs of wide range of corporate and real asset owners.

Project overview

The project focuses on building a cloud based data platform that centralizes, transforms, and delivers high quality data across multiple business domains. The environment supports advanced analytics, data governance, and scalable data processing using modern Azure and Snowflake technologies.

Position overview

We are looking for a Senior Data Engineer with strong expertise in Snowflake and Azure data technologies to contribute to the development and enhancement of a large scale enterprise data platform. You will work on designing, building, and optimizing modern data solutions that support analytics, reporting, and business decision making. This role is ideal for a data professional who enjoys working with cloud data platforms, complex data pipelines, and modern data warehousing architectures.
 

Technology stack

Snowflake, Snowflake SQL, Snowflake Stored Procedures, Snowflake UDFs, Snowpark, Python, Apache Airflow, Azure SQL Database, Microsoft SQL Server, T SQL, dbt, Airflow Cosmos, Snowflake CLI, Azure Cloud Services, Data Warehousing, ETL, ELT, Medallion Architecture, Layered Architecture, Dimensional Modeling, Git

Responsibilities

• Develop and maintain scalable data solutions on the Snowflake platform
• Design and implement Snowflake databases, schemas, tables, views, and materialized views
• Build, optimize, and support ETL and ELT data pipelines
• Create and maintain stored procedures and user defined functions using Python and SQL
• Design and develop data warehouse solutions using layered and Medallion architecture principles
• Optimize Snowflake and SQL Server performance through indexing, partitioning, query tuning, and workload optimization
• Develop complex SQL queries utilizing analytical and window functions
• Collaborate with architects, business stakeholders, and engineering teams to deliver high quality data solutions
• Support data quality validation, reconciliation, and testing activities
• Prepare and maintain technical documentation related to data solutions and architecture
• Contribute to continuous improvement initiatives and engineering best practices

Requirements

• Strong experience with Snowflake data platform engineering
• Advanced knowledge of Snowflake SQL
• Experience with Snowflake databases, schemas, tables, views, and materialized views
• Experience developing Snowflake stored procedures and UDFs using Python and SQL
• Strong experience with Apache Airflow
• Strong Python development skills
• Hands on experience with Azure SQL Database, Microsoft SQL Server, and T SQL
• Experience creating and optimizing tables, views, stored procedures, functions, indexes, and partitions
• Strong knowledge of SQL performance tuning and query optimization
• Experience developing ETL and ELT pipelines
• Experience building enterprise data warehouse solutions
• Knowledge of Layered Architecture and Medallion Architecture
• Experience with dimensional modeling
• Good verbal and written English communication skills

Nice to have

• Experience with dbt
• Experience with Airflow Cosmos
• Knowledge of Snowpark
• Experience working with Snowflake CLI
• Experience with Master Data Management design and integration
• Experience with QlikView or Qlik Sense
• Experience with data quality testing, validation, and reconciliation
• Experience creating technical documentation
• Experience within investment banking or asset management environments
• Experience using Claude AI within the Software Development Life Cycle

We are seeking an experienced Data Scientist to take ownership of customer risk-scoring models and exploratory risk analysis. In this role, you will analyze complex behavioral data, conduct deep-dive investigations, and construct statistical models to protect both the business and its users.

Responsibilities

• Design, evaluate, and iteratively refine predictive models targeting AML and Safer Gambling risk indicators.
• Conduct exploratory data analysis and targeted investigations to identify behavioral anomalies and emerging risk patterns.
• Partner with compliance and operational risk teams to translate risk domain insights into practical model features.
• Clearly communicate analytical methodologies, model evaluation results, and strategic insights to non-technical stakeholders.

Requirements

• 5+ years of professional experience in a Data Scientist role.
• Strong technical proficiency in Python and SQL for complex data extraction, feature engineering, and statistical modeling.
• Practical expertise in building and evaluating standard statistical and machine learning models (e.g., XGBoost, Linear/Logistic Regression).
• Strong analytical problem-solving skills with a background in model evaluation metrics and data-driven investigations.
• Effective verbal and written communication skills with the ability to articulate complex analytical concepts clearly.

Nice to have

• Prior experience in online gaming.
• Domain familiarity with Anti-Money Laundering (AML) regulations or Responsible/Safer Gambling frameworks.
• Basic conceptual understanding of model deployment pipelines (hands-on engineering deployment expertise is not required).

Client

Our Client is one of the leading reinsurance service providers across the globe. Their technological platform is constantly evolving as they apply new and emerging technologies to their expanding business.

Project overview

Clients’ technological platforms are constantly evolving as they adopt new and emerging technologies to support their expanding businesses. The team manages applications at the heart of clients’ core business strategies and supports a global user base. The nature of clients’ businesses demands high levels of agility, which in turn requires the team to be technically superior.

The project is part of clients’ global technology modernization roadmaps. It aims to equip key business lines with the technology needed to address modern market challenges and seize new opportunities. The development focuses on core business applications using a modern AWS toolset with Python on the backend. As the project is in its early stages, a significant portion of the work involves architectural design, technology selection, and proof-of-concept (POC) activities.

Position overview

This position is open for hiring in Dublin, Ireland, and requires working from the office 4 days per week.

Responsibilities

• Develop scalable and maintainable frontend architecture using React.js and Next.js
• Implement and optimize reusable UI components using Fluent UI
• Collaborate with UX designers to ensure consistent and user-friendly component designs
• Conduct code reviews and provide constructive feedback to team members
• Optimize components for maximum performance and reusability
• Stay updated with the latest frontend technologies and industry trends

Requirements

• Bachelor's degree in Computer Science or related field
• 5+ years of experience in frontend development, with at least 3 years in a middle or a senior role
• Extensive experience with React.js, including hooks and context API
• Strong knowledge of Next.js and its features for server-side rendering and static site generation
• Proficiency in working with Fluent UI or similar component libraries
• Deep understanding of frontend performance optimization techniques
• Experience in designing and implementing scalable component libraries
• Excellent problem-solving skills and attention to detail
• Strong communication skills and ability to work in a collaborative environment

Nice to have

• Experience with micro frontends architecture
• Familiarity with design systems and component-driven development
• Knowledge of testing frameworks
• Understanding of CI/CD pipelines and build tools

Client

Our client is one of the leading reinsurance service providers across the globe. Their technological platform is constantly evolving as they apply new and emerging technologies to their expanding business.

Project overview

The client's technological platform is continuously evolving as they integrate new and emerging technologies to support their growing business. The team manages the applications that are central to the client's core business strategy and provides support for a global user base. Due to the dynamic nature of the client's business, high levels of agility are required, demanding that the team maintain technical excellence.

This project is part of the client's global technology modernization roadmap, aimed at equipping one of their key lines of business with the necessary technology to tackle modern market challenges and opportunities. The development focuses on core business applications using a modern AWS toolset, with Python on the backend. Since the project is in its early stages, much of the work involves architecture design, technology selection, and proof-of-concept (POC) activities.

Position overview

Join a dynamic team to design and develop AWS-enabled solutions using Python.

This position is open for hiring in Dublin, Ireland, and requires working from the office 4 days per week.

Responsibilities

• Design and develop of AWS-enabled solutions using Python as the main programming language
• Ensure newly developed applications have sufficient test coverage with a strong preference towards automated test suites
• Ensure application observability using standard AWS tools and services
• Collaborate with the broader development team on shared architecture, best practices, and development culture
• Provide guidance on the technological and methodological direction of systems in support of business strategies

Requirements

• Extensive experience in Python development
• Detailed knowledge of AWS services in the context of building serverless backend applications that expose secure APIs and utilise parallel computing techniques, messaging and data volume intensive workflows
• Hands-on experience with automated deployment of AWS stack to development and production environments
• Experience in analysis and resolution of typical AWS performance bottlenecks
• Solid Linux and scripting background
• Passion for automation, testing and choosing the best tool for the job
• General problem-solving mentality. The ability to collaborate with different teams on solutions for a variety of different business, code & data-related issues
• Strong communication skills

Nice to have

• Experience with CI/CD workflows supported by GitHub actions
• Experience in developing applications using Serverless framework
• Prior experience in working in the Financial Services/Insurance industry
• Prior experience working in an Agile/Scrum development environment

Client

Our Client is one of the leading reinsurance service providers across the globe. Their technological platform is constantly evolving as they apply new and emerging technologies to their expanding business.

Position overview

This is a hybrid role within the Platform Operations and Engineering Practice. There will be a steady stream of work from focusing on Platform consolidation and hardening across multiple systems. The nature of the work on Engineering team will be focused on the DevOps/DevEx side of the platforms and technologies we use: producing GitHub Actions, implementing reference implementations, pairing with Software Engineers on automating away some of the more manual steps that developers undertake.

The candidate should possess excellent communication (both written and verbal) and collaboration skills and able to effectively prioritize across a number of focus areas. The candidate must be eager to learn about new technologies and platforms as we onboard these.

This position is open for hiring in Dublin, Ireland, and requires working from the office 4 days per week.

Responsibilities

• Automate development processes and streamline CI/CD pipelines using GitHub Actions
• Collaborate with engineering teams to support platform consolidation and system hardening
• Manage and optimize AWS serverless infrastructure
• Monitor application performance with tools like Datadog and Vault
• Troubleshoot and resolve platform issues
• Integrate new technologies into the platform
• Ensure secure coding practices and maintain system compliance

Requirements

• Secure coding practices
• Application performance analysis
• Networking (TCP/IP Layer 5 and higher)
• Strong written and verbal communication
• Excellent troubleshooting abilities
• Experience with AWS CDK
• Strong interpersonal & collaboration skills, with the ability to adapt working styles
• Ability to work autonomously, prioritize tasks, and balance multiple responsibilities
• Skilled in evaluating options and finding optimal solutions for technical and process-related problems, considering various factors and constraints