DataArt

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

Client

Our client is a U.S.-based company specializing in services for the reverse mortgage market.

Project overview

The project focuses on advancing the capabilities and efficiency of the reverse mortgage market system through the development of new modules and features, system enhancements, and its migration to contemporary technologies.

Position overview

We are seeking an experienced UiPath Robotic Process Automation (RPA) Engineer to design, develop, implement, and support scalable enterprise automation solutions that improve operational efficiency and reduce manual effort.

The role involves collaborating with business stakeholders, Business Analysts, solution architects, and development teams to deliver secure, maintainable UiPath solutions. The engineer will contribute to the organization’s digital transformation by developing RPA solutions aligned with enterprise architecture, governance, security, and compliance standards.

Responsibilities

• Design, develop, test, deploy, and maintain UiPath automation solutions.
• Analyze business processes to identify automation opportunities and recommend optimal RPA solutions.
• Develop reusable automation components and frameworks following enterprise standards.
• Integrate UiPath solutions with web applications, desktop applications, APIs, databases, and enterprise systems.
• Build attended, unattended, and scheduled automation workflows.
• Partner with Business Analysts and business stakeholders to understand functional and technical requirements.
• Participate in process discovery workshops and automation assessments.
• Prepare solution design documents and technical specifications.
• Provide effort estimates and implementation recommendations.
• Develop automation using UiPath Studio and UiPath Orchestrator.
• Create reusable libraries, workflows, and custom activities when appropriate.
• Integrate with REST APIs, SQL databases, file systems, email platforms, and cloud services.
• Develop robust exception handling and logging mechanisms.
• Perform unit testing, system testing, integration testing, and provide support during user acceptance testing.
• Resolve automation defects and optimize existing bots.
• Ensure automation meets performance, security, and compliance standards.
• Participate in peer code reviews and technical walkthroughs.
• Deploy automation packages through UiPath Orchestrator.
• Monitor bot execution and troubleshoot production issues.
• Support scheduled automation jobs and production releases.
• Participate in production support and incident resolution.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
• 3–7 years of software development or RPA development experience.
• 2+ years of hands-on experience with UiPath Studio and UiPath Orchestrator.
• Strong understanding of RPA development principles and best practices.
• Experience integrating automation solutions with REST APIs, SQL databases, file systems, email platforms, and cloud services.
• Experience with exception handling, logging, testing, debugging, and production support.
• Understanding of enterprise architecture, security, governance, and compliance standards.

Client

Our client is an international SaaS company developing tools that empower businesses to create highly engaging digital experiences. Their solutions are trusted by thousands of organizations worldwide to collect, analyze, and act on user data effectively.

Project overview

The project is an interactive form builder designed for marketers, researchers, HR, sales, and customer experience teams to create engaging, conversational online forms, surveys, and quizzes.

Key features:
Visually appealing conversational design optimized for high completion rates
AI-powered data interpretation
Workflow and logic builders for personalized experiences
Brand customization options
Seamless integrations with various tools to automate data collection and streamline workflows

Position overview

We are seeking a Full Stack Engineer who builds with AI in the loop — both as a daily development practice and as a product capability. You are fluent with coding agents (Claude Code, Cursor, Copilot) and ship faster because of them, not despite them. You understand how to design, prompt, evaluate, and operate LLM-backed features in production — including model selection, context engineering, evals, guardrails, and cost and latency tradeoffs.

Beyond AI, you have deep Golang and React/TypeScript expertise and own features end-to-end: from understanding business requirements, through writing and testing code, to deployment and production monitoring. This role requires strong autonomy, proactive communication, and the ability to deliver reliable, scalable solutions in a modern cloud environment.

This position operates according to the CET time zone.

Responsibilities

• Design and ship LLM-powered product features: prompt design, retrieval, tool and function calling, structured outputs, streaming, evaluation harnesses, and guardrails.
• Operate AI features in production: monitor quality, latency, cost, and failure modes; iterate on prompts, models, and architectures based on real usage.
• Use AI coding tools (Claude Code, Cursor, Copilot) as a core part of your workflow to accelerate delivery without compromising code quality.
• Design, develop, and maintain backend services using Golang and frontend applications using React/TypeScript.
• Collaborate with product managers, designers, and other engineers to translate business requirements into technical solutions.
• Implement event-driven architectures leveraging Kafka for real-time data processing.
• Manage and optimize AWS environments, ensuring scalability and reliability.
• Define and maintain infrastructure using Terraform and deploy services in Kubernetes clusters.
• Build and maintain CI/CD pipelines in Jenkins for automated deployments.
• Ensure high-quality code through comprehensive testing and code reviews.
• Monitor application performance and troubleshoot issues in production environments.
• Contribute to UI/UX improvements and ensure seamless integration between frontend and backend.

Requirements

• Demonstrable production experience shipping LLM-powered features. Be ready to walk through a feature you built: prompts, evaluation approach, failure modes you fixed, and how you measured success.
• Hands-on with at least one major LLM provider's API (Anthropic, OpenAI, AWS Bedrock, or equivalent), including streaming, tool use, and structured outputs.
• Daily use of AI coding assistants in your workflow; able to articulate where they help, where they hurt, and how you maintain code quality.
• Strong, in-depth knowledge of Golang.
• Experience delivering complex backend systems from design to production.
• Solid background with Kafka and event-driven architectures.
• Hands-on experience managing AWS environments.
• Proficiency with Terraform for infrastructure-as-code.
• Experience deploying and operating services in Kubernetes.
• Building CI/CD pipelines in Jenkins.
• Proven ability to ensure quality through comprehensive testing.
• Strong proficiency in React and TypeScript.
• Experience contributing to front-end features, UI components, and client-side logic.
• Ability to seamlessly integrate frontend with backend services.
• Excellent English communication skills, written and spoken.
• Self-driven and able to work independently while managing workload effectively.

Nice to have

• Experience with agent frameworks, multi-step tool-use loops, or RAG systems at scale.
• Built or maintained an evaluation pipeline (offline evals, LLM-as-judge, human review loops).
• Open-source contributions, published writing, or talks on applied AI engineering.

Project overview

This project focuses on building and enhancing an enterprise data warehouse platform that supports data driven decision making across complex business domains. The work involves designing scalable data models, ingestion pipelines, and transformation logic to ensure high quality and consistent data.

Team

You will be part of a collaborative data team working alongside data designers, data engineers, and platform specialists. The team operates in an agile environment, shares knowledge actively, and follows established data design standards and review practices.

Position overview

We are looking for a Senior Data Designer who can operate as the bridge between business stakeholders and engineering — someone equally comfortable running a requirements workshop and designing a Kimball-style dimensional model. This is not a pure modelling role: you'll investigate source systems, challenge and shape business requirements before any design work starts, and turn that understanding into governed, well-documented data platform designs that engineering teams can implement. You will contribute to data ingestion design, transformation logic, and data harmonization while working closely with stakeholders and platform teams.

Technology stack

Core: SQL, dimensional/Kimball data modelling, enterprise data warehouse tools, cloud data platforms
Additional technologies used within the project: Python, PySpark, data profiling tooling

Responsibilities

• Design and document Enterprise Data Warehouse objects: data models, source-to-target mappings, model diagrams, and supporting design documentation that engineers deliver from
• Work with stakeholders and source-system SMEs to onboard new data sources and adapt designs to what each source provides
• Clarify the intent behind requirements before designing: why the stakeholder needs it and whether existing structures already cover it
• Profile and analyze source data to validate design assumptions
• Define data quality rules as part of designs for downstream teams to implement
• Investigate reported data issues, identify root causes, and propose design-level fixes
• Take designs through peer and design review; give and take constructive challenge
• Keep stakeholders informed: raise issues early, ask instead of assuming, follow up until unblocked

Requirements

• Strong practical foundations of dimensional modeling — able to design warehouse models from raw source data and explain the reasoning behind design choices
• Hands-on experience producing source-to-target mapping documentation
• Working understanding of data platform layering and data load approaches
• Confident SQL for data profiling and validation
• Strong written and spoken English; comfortable gathering requirements and managing stakeholder expectations
• Attention to detail; comfortable working in a governed environment with reviews and design standards, and data privacy/PII classification requirements

Nice to have

• SAP as a source system
• Retail domain experience
• Agile delivery experience