DataArt

Client

Our client is a global provider of domain registration, web hosting, and SSL certificate services. The company supports thousands of resellers and hundreds of thousands of businesses worldwide, offering reliable solutions for managing digital infrastructure.

Project overview

The project is a high-scale platform that provides a unified solution for provisioning, billing, and lifecycle management of domain registration, web hosting, and SSL certificate services.

Position overview

We are looking for a Tech Lead DevOps Engineer to lead the design, implementation, and continuous improvement of a high scale infrastructure platform supporting domain registration, web hosting, and SSL certificate services. In this role, you will collaborate with engineering and leadership teams to build reliable, scalable, and secure environments while driving DevOps best practices across the organization.

Responsibilities

• Lead the design, implementation, and evolution of hybrid AWS-based and on-premise infrastructure.
• Drive DevOps best practices, standards, and technical decisions across the team.
• Design and maintain scalable, secure, and highly available infrastructure.
• Automate infrastructure provisioning and configuration using Terraform.
• Manage and optimize containerized environments using Docker, Kubernetes, and Helm.
• Develop, maintain, and improve CI/CD pipelines.
• Implement and enhance monitoring, logging, and observability using Prometheus, Grafana, and AWS CloudWatch.
• Ensure the reliability, performance, security, and scalability of the platform.
• Troubleshoot complex infrastructure and production issues.
• Collaborate closely with management, development and engineering teams to improve deployment processes and operational efficiency.
• Mentor and provide technical guidance to other DevOps engineers.

Requirements

• Extensive experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles, including experience in a technical leadership capacity.
• At least 2 years as a Tech Lead.
• Strong hands-on experience with AWS and designing cloud-based infrastructure.
• Solid experience with Docker and Kubernetes in production environments.
• Strong knowledge of Infrastructure as Code, particularly Terraform.
• Experience with Helm for managing Kubernetes applications.
• Strong experience designing and maintaining CI/CD pipelines.
• Hands-on experience with monitoring and observability tools, including Prometheus, Grafana, and AWS CloudWatch.
• Strong Linux administration and Bash scripting skills.
• Experience working with Git and modern software development workflows.
• Strong troubleshooting and problem-solving skills.
• Excellent communication skills and the ability to collaborate effectively across teams.

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

Project overview

Testing Solutions is focused on building and improving AI powered test automation capabilities for quality assurance processes. You will contribute to a practical automation environment using Playwright, Python, Apium and Copilot based workflows.

Position overview

It is an onsite position for Cyprus (relocation is required).
We are looking for a Python Developer with Playwright to support AI powered testing solutions in an onsite environment. You will help set up and improve AI automation solutions used in QA activities.

Technology stack

Playwright, Python, Apium, Copilot

Responsibilities

• Develop AI powered test automation solutions using Playwright, Python and Apium
• Set up AI automation solutions for QA workflows
• Collaborate in an onsite project environment
   

Requirements

• Experience with Playwright
• Experience with Python
• Experience with Apium
• Experience setting up AI automation solutions
• Experience with Copilot

Technology stack

Snowflake, Snowflake SQL, Snowflake databases, schemas, tables, views, materialized views, Snowflake stored procedures, Snowflake UDFs using Python and SQL, Airflow, Python, Azure SQL Database, MS SQL DB, T SQL, ETL, ELT, layered architecture, Medallion architecture, dimensional modeling

Project overview

This project is centered on developing a data lakehouse with Snowflake and Azure SQL, including design, pipeline development, and query optimization.

Position overview

We are looking for a Senior Snowflake Developer with strong experience in Snowflake platform engineering, Airflow, Python, and data warehouse development. You will contribute to building scalable data pipelines, designing warehouse structures, and improving data processing performance.

Responsibilities

• Develop Snowflake data platform solutions
• Build and optimize Snowflake databases, schemas, tables, views, and materialized views
• Create Snowflake stored procedures and UDFs using Python and SQL
• Develop and maintain ETL and ELT pipelines in Snowflake
• Work with Airflow to orchestrate data workflows
• Design and build data warehouse solutions
• Apply layered architecture and Medallion architecture principles
• Implement dimensional modeling for analytical data structures
• Create tables, views, stored procedures, functions, indexes, and partitions in Azure SQL Database and MS SQL DB
• Optimize database performance and tune complex queries
• Use analytical and window functions to support data processing
• Collaborate in English across data project activities

Requirements

• 7+ years of overall IT experience
• 5+ years of experience in data projects
• Experience with Snowflake data platform engineering
• Experience with Snowflake SQL
• Experience with Snowflake databases, schemas, tables, views, and materialized views
• Experience with Snowflake stored procedures and UDFs using Python and SQL
• Experience with Airflow
• Experience with Python
• Experience with Azure SQL Database, MS SQL DB, and T SQL
• Experience creating tables, views, stored procedures, functions, indexes, and partitions
• Experience with performance tuning and complex queries
• Experience using analytical and window functions
• Experience building data warehouses
• Experience with layered architecture and Medallion architecture
• Experience with dimensional modeling
• Good English

Nice to have

• Experience with DBT
• Experience with Snowpark
• Experience with Snowflake CLI
• Experience with Master Data Management design and integration
• Experience with data quality testing, validation, and reconciliation
• Experience writing technical documentation
• Investment banking or asset management domain knowledge
• Experience with Claude AI in SDLC