DataArt

Technology stack

Tableau, SQL, Snowflake

Client

Our client is one of the world's top 20 investment companies, headquartered in the United Kingdom. The organisation is making significant investments in its data and reporting capabilities, consolidating multiple data sources into a unified ecosystem that supports investment, performance, and client reporting across the business.

Project overview

The role sits within the client's performance and reporting function and supports reporting used across the investment business. The assignment is secured for an initial 6 months with possible extension. Working hours: aligned with London time.

Position overview

We are looking for a Tableau Engineer to join the client's reporting team as part of a team augmentation initiative. This role covers the entire journey from data to dashboard, including data preparation and modelling, as well as the design and development of reports and dashboards. This is a business facing position where you will work directly with internal stakeholders to gather and refine reporting requirements and translate them into clear, reliable, and actionable dashboards.

Responsibilities

• Design, build and maintain dashboards and visualisations in Tableau
• Prepare and model data for reporting, writing and optimising SQL across multiple sources
• Work with internal business users to gather requirements and translate them into reporting solutions
• Ensure accuracy and consistency of data across reports and dashboards
• Improve dashboard performance and usability
• Document report logic and support end users in adopting the solutions

Requirements

• Proven hands-on Tableau development experience, including building dashboards for business users
• Strong SQL skills and solid understanding of data modelling principles
• Experience preparing and structuring data for reporting
• Experience gathering requirements directly from business stakeholders and translating them into reporting solutions
• Strong communication skills and fluent spoken English
• Willingness to work to a London-aligned schedule

Nice to have

• Experience with Snowflake or a similar cloud data warehouse
• Experience in asset management, investment management or wider financial services
• Understanding of core financial metrics and investment terminology

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

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

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.
  
  
  
   

Position overview

We're looking for an expert Windows Kernel Driver Engineer to join our team and help build and enhance the core technology behind Windows cybersecurity agents. In this role, you'll design and implement low-level Windows components, focusing on Windows kernel drivers, that power and support advanced threat detection and response capabilities. You'll work closely with security researchers, sensor developers, and platform engineers to ensure agents are stable, stealthy, and performant across all supported environments.

This role requires candidates who are currently and actively working on Windows kernel driver development and have been doing so for at least the last 2 years, utilizing C++ as their main language. Deep expertise in and knowledge of Windows OS internals are a must. KMDF (Kernel-Mode Driver Framework) experience is also required.

Responsibilities

• Build Windows kernel-mode drivers and user-mode services that collect, filter, and analyze endpoint telemetry.
• Design and develop low-level components for the Windows endpoint sensor, focusing on stability, performance, and stealth.
• Implement robust techniques for process/thread monitoring, registry tracking, file system interception, and network event visibility.
• Debug complex kernel-mode and user-mode issues across multiple Windows versions.
• Collaborate with researchers and product teams to translate threat intelligence into product features.
• Conduct code reviews, mentor engineers, and contribute to architectural decisions.
• Stay current with Windows internals, security trends, and system programming best practices.

Requirements

• Recent, hands-on experience developing Windows kernel drivers (for at least the last 2 years) using KMDF, Windows Filtering Platform (WFP), minifilters, and ETW.
• 7+ years of hands-on experience in C++ development (C++11 or later).
• In-depth understanding of Windows internals, including kernel architecture, system calls, memory management, and drivers.
• Strong debugging and reverse engineering skills using tools such as WinDbg, Process Monitor, Process Explorer, IDA, or Ghidra.
• Familiarity with Windows security mechanisms, including integrity levels, UAC, AppLocker, and Secure Boot.
• Experience using Visual Studio, Windows Driver Kit (WDK), and related development environments.

Nice to have

• Experience developing with Rust.
• Experience building or contributing to endpoint security products (EDR, AV, EPP, etc.).
• Familiarity with Windows telemetry, Event Logs, Sysmon, and ETW tracing.
• Experience with malware analysis, Windows exploitation techniques, or SOC/DFIR workflows.
• Experience in the cybersecurity domain is a plus.
• Scripting skills in PowerShell or Python for automation and testing.
• Understanding of kernel-mode security evasion techniques and defensive mechanisms.
• Experience with code signing, driver deployment, and secure update mechanisms.
• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.

Client

Our client is the UK’s leading development finance institution, dedicated to supporting companies in developing countries and driving sustainable growth.

Position overview

We are looking for a Senior/Lead Data Engineer to join a distributed team working on modern cloud-based data solutions within the Azure ecosystem. The role involves designing, developing, and maintaining scalable data pipelines and integrations that support business-critical reporting, analytics, and operational processes.

You will work closely with cross-functional teams, contributing to architecture decisions, delivery processes, and continuous platform improvements while ensuring high standards of quality and reliability.

Responsibilities

• Design, develop, and maintain data pipelines and ETL/ELT processes using Azure technologies
• Build and support scalable solutions using Azure Data Factory (ADF), Azure SQL, and other Azure services
• Develop backend logic and automation using Python, Azure Functions, and Logic Apps
• Collaborate with stakeholders, analysts, and engineering teams to gather requirements and deliver data solutions
• Monitor, troubleshoot, and optimize data workflows and integrations
• Participate in code reviews, technical discussions, and solution design activities
• Contribute to CI/CD and deployment processes within the Azure environment
• Ensure data quality, security, and performance best practices are followed
   

Requirements

• Strong hands-on experience with Azure Data Factory (ADF)
• Solid experience with Azure SQL and the Azure Data Stack
• Strong Python development skills
• Experience working with Azure Logic Apps and Azure Function Apps
• Good understanding of cloud-based data architecture and integration patterns
• Experience building and maintaining scalable data pipelines
• Familiarity with Azure DevOps, Git, and CI/CD pipelines
• Experience working in Agile development environments
• Strong communication and collaboration skills
• Upper-Intermediate or higher English level

Nice to have

• Experience leading technical initiatives or mentoring engineers
• Knowledge of data governance and security best practices
• Experience with infrastructure automation or monitoring tools
• Exposure to financial services or development finance domains