DataArt

Project overview

The project extensively uses AWS cloud, Lambdas, containers, infrastructure as a code, SQL, and NoSQL storage, and the latest versions of languages and tools. Some teams are more product-oriented and build outstanding student-facing applications, and some teams own shared components and services used by other products.

Position overview

We are looking for a DevOps to help design, build, and operate scalable cloud-native systems. This role focuses primarily on AWS infrastructure, Infrastructure as Code (Terraform), and system observability and reliability. You will work with AWS Lambda, containerized services, and monitoring tools to ensure stable, secure, and cost-efficient operations.
Python is used for automation and scripting tasks together with core application development.

You will collaborate closely with product teams to enable fast feature delivery and with platform teams to strengthen the organization’s cloud foundation.

Responsibilities

• Design, implement, and operate AWS-based infrastructure using Terraform
• Build and maintain scalable serverless and containerized environments (Lambda, ECS, etc.)
• Implement monitoring, logging, and alerting to ensure high system reliability and performance
• Automate operational tasks and workflows using lightweight Python scripts
• Apply best practices for security, availability, and cost optimization in cloud environments
• Support multiple teams by providing stable and reusable cloud components
• Collaborate closely with client and internal stakeholders in an Agile environment

Requirements

• Strong experience with AWS services (Lambda, RDS, DynamoDB, networking, IAM, etc.)
• Hands-on experience with Infrastructure as Code, preferably Terraform
• Solid understanding of Linux-based systems and cloud networking fundamentals
• Experience designing and maintaining monitoring and observability solutions (logs, metrics, alerts)
• Intermediate Python skills for scripting and automation purposes
• Experience working with SQL and NoSQL databases
• Familiarity with Agile/SCRUM development processes
• Good spoken English for daily communication with client-side team members

Client

Our client is an international association of financial industry professionals, bringing together over 200,000 investment experts worldwide. The organization operates more than one hundred applications and is embarking on a major initiative to modernize and upgrade its systems.

Position overview

The Product Owner will lead requirements definition, data product design, and stakeholder alignment across business and technical teams. This role ensures that data products, insights, and governance processes align with business objectives and are delivered with clarity and measurable value.

Responsibilities

• Lead requirements gathering with business stakeholders, defining user stories, acceptance criteria, and data use cases.
• Manage the backlog for data governance, data quality, data enrichment, and data insights workstreams.
• Define data products and participate in lifecycle management, prioritization, and adoption planning.
• Support the creation of data definitions, data contracts, and quality requirements.
• Collaborate with architects, engineers, and analytics teams to ensure solution feasibility and alignment.
• Facilitate stakeholder reviews, demonstrations, and value-tracking.

Requirements

• Minimum 5 years in business analysis, product ownership, or data-focused roles.
• Strong understanding of data lifecycle, data governance, and analytics workflows.
• Experience working with agile delivery teams.
• Excellent documentation, facilitation, and communication skills.

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 highly skilled Full Stack Developer with deep expertise in Golang (backend) and React/TypeScript (frontend). The ideal candidate will take ownership of the full development workflow—from understanding business requirements, creating tasks, writing and testing code, through deployment and 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, 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.
• Integrate AI tools and APIs (Claude, AWS Bedrock, Copilot) to enhance product capabilities.
• Monitor application performance and troubleshoot issues in production environments.
• Contribute to UI/UX improvements and ensure seamless integration between frontend and backend.
• Communicate progress, challenges, and solutions effectively within the team.
   

Requirements
 

• 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
• Knowledge of 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
   

Nice to have
 

• Familiarity with AI tools and APIs (Claude, AWS Bedrock, Copilot)
• Excellent English communication skills (written and spoken)
• Self-driven and able to work independently while managing workload effectively

Client

Our client is a leading global investment company dedicated to delivering innovative investment solutions. They maintain operational excellence by prioritising seamless IT service management and proactive incident resolution to minimise business impact and ensure high service quality across their applications and platforms.

Team

The successful candidate will join the IT Application Support team and work closely with colleagues to manage business‑critical incidents, drive timely resolutions, and support continuous improvement initiatives in collaboration with internal IT teams and external providers.

Position overview

Our client is looking for an Application Support Analyst who will be responsible for managing incidents across multiple applications. The primary goal of this role is to restore normal service operations quickly while minimising business disruption, investigating root causes, and implementing durable fixes.

You will also support change initiatives aligned with Change Management practices and proactively enhance support capabilities through automation, monitoring improvements, trend analysis, and knowledge sharing.

Support is provided within an 8 AM – 6 PM window on a shift basis (UK time), with variable start times (8, 9, or 10 AM) to complete an 8‑hour workday. Out‑of‑hours on‑call support is required on a rotational basis approximately once every 4–5 weeks (covering the full work week and weekend).

Responsibilities

• Ensure team services meet client requirements and SLAs.
• Support the management of business‑critical incidents, providing accurate status and impact updates to stakeholders.
• Investigate incidents and defects thoroughly while maintaining system and service integrity.
• Record and update incidents according to the Incident Management Matrix and SLAs, ensuring timely resolution and service restoration.
• Identify and escalate operational risks related to capacity and performance to prevent service degradation.
• Adopt and promote ITIL and service management best practices, ensuring alignment across processes and controls.
• Maintain effective support processes for software and systems across platforms with clear escalation paths.
• Provide technical support and guidance to users, liaising with IT teams and third‑party vendors for complex issues.
• Participate in shift and out‑of‑hours support rotas to ensure coverage for critical systems.
• Assist with onboarding and training new team members, maintaining documentation, runbooks, and knowledge articles.

Requirements

• Recent experience with InterSystems Caché and ObjectScript, including coding and debugging.
• Familiarity with SQL for investigation, reporting, and remediation activities.
• Experience with software transition and release management, QA/UAT support, and disaster‑recovery planning.
• Ability to produce clear technical documentation, use cases, and activity diagrams.
• Good spoken English.
• End‑to‑end support experience, including incident and problem management, trend analysis, and post‑incident reviews.

Nice to have

• Degree in Computer Science or an equivalent technical qualification.
• IMC or similar certifications demonstrating knowledge of the investment management domain.
• Experience working in investment management firms with an understanding of investment operations.
• Proficiency with Microsoft Office and familiarity with ITSM/ticketing tools and monitoring platforms.

Client

Our client is a leading global investment company dedicated to delivering innovative investment solutions. They focus on maintaining operational excellence by prioritising seamless IT service management and proactive incident resolution to minimise business impact and maintain high service quality across their applications and platforms.

Team

The successful candidate will join the IT Application Support team and will work closely with colleagues to manage business-critical incidents, drive timely resolutions, and support continuous improvement initiatives through collaboration with various IT teams and external providers

Position overview

As an Application Support Analyst, you will be responsible for incident management across multiple applications. Your primary focus will be restoring normal service operations swiftly while minimising business disruption, investigating root causes, and implementing durable fixes. You will support change initiatives aligned with Change Management practices and proactively enhance support capabilities by driving automation, monitoring, trend analysis, and knowledge transfer.

Support is provided within an 7 AM to 6 PM window on a shift basis (UK time zone), with flexibility on start times to complete an 8-hour working day.

Responsibilities

• Ensure team services meet client requirements and SLAs
• Support management of business-critical incidents, providing accurate status and impact updates to stakeholders
• Investigate incidents and defects thoroughly, maintaining system and service integrity
• Record and update incidents in line with Incident Management Matrix and SLAs, driving timely resolution and service restoration
• Identify and escalate operational risks related to capacity and performance to avoid service degradation
• Adopt and promote ITIL and service management best practices, ensuring alignment of processes and controls
• Maintain effective support processes for software and systems across platforms with clear escalation paths
• Provide technical support and guidance to users, liaising with IT teams and vendors for complex issues
• Participate in shift and out-of-hours support rota to ensure service coverage for critical systems
• Assist with onboarding and training new team members, maintaining documentation, runbooks, and knowledge articles

Requirements

• Recent experience with Centura, including coding and debugging
• Familiarity with SQL for investigation, reporting, and remediation
• Experience in software transition and release management, QA/UAT support, and disaster recovery planning
• Ability to produce clear technical documentation, use cases, and activity diagrams
• End-to-end support experience including incident and problem management, trend analysis, and post-incident reviews
• Degree in Computer Science or equivalent technical qualification
• Good spoken English

Nice to have

• Familiarity with Sybase DB
• Experience within Investment Management firms with understanding of investment operations
• Familiarity with ITSM/ticketing tools and monitoring platforms

Client

Our client is a leading legal recruiting company aiming to build a data-driven platform specifically designed for lawyers and law firms. The platform brings everything together in one place — news and analytics, real-time deal and case tracking from multiple sources, firm and lawyer profiles enriched with cross-linked insights, rankings, and more.

Project overview

The platform aggregates data from hundreds of public sources, including law firm websites, deal announcements, legal databases, and media publications, creating a unified ecosystem of structured and interconnected legal data.

It combines AI-driven enrichment, automated data processing, and scalable infrastructure to ensure comprehensive and reliable coverage of the legal market.

Position overview

We are looking for a Lead AI/ML Engineer who will also take ownership of AI architecture, technical strategy, and team mentorship.

Responsibilities

• Develop and deploy AI/ML models leveraging GenAI (OpenAI API) for natural language understanding, summarization, and insights extraction
• Build named entity recognition (NER) and entity linking solutions tailored to legal domain data (law firms, cases, deals, people)
• Implement scalable NLP pipelines for processing news, legal documents, and transaction data from multiple sources
• Design, train, and evaluate ML models to improve search, classification, and recommendation features
• Collaborate with AWS teams to deploy and maintain models using SageMaker, manage datasets on S3, and ensure reliable operation and scalability
• Integrate AI capabilities seamlessly into the web platform, working alongside front-end and backend engineers
• Continuously research new AI models and NLP techniques relevant to legal data and user experience

Requirements

• Strong experience designing and implementing end-to-end AI/ML solutions in production environments.
• Hands-on experience with GenAI, including practical usage of the OpenAI API.
• Solid background in NLP, with hands-on experience in Named Entity Recognition (NER) and entity linking.
• Hands-on experience working with AWS, including services such as SageMaker and S3.
• Strong Python skills with practical experience using TensorFlow, PyTorch, and Hugging Face Transformers.
• Practical experience designing and implementing RAG (Retrieval-Augmented Generation) solutions.
• Proven experience building and implementing Recommendation Engines.

Nice to have

• Experience architecting scalable AI/ML systems on Amazon Web Services.
• Experience working with complex, data-intensive machine learning pipelines.
• Experience combining NLP, GenAI, and recommendation systems within a single solution.

Client

Our client is a UK based construction and materials group.

Project overview

You will work on a data platform that provides unified customer and project views to support strategic decision making and synergy identification. The platform is built on Snowflake and is currently used in the United Kingdom with planned expansion across multiple European markets. The focus is on strengthening stakeholder alignment, improving data governance processes, and establishing clear product ownership to enable scalability.

Position overview

We are looking for a Senior Data Product Lead to establish product ownership and drive the evolution of two existing data products. The person in this role works closely with transformation leadership to strengthen stakeholder alignment, define business value use cases, and guide the platform’s expansion across European markets. This position involves navigating complex stakeholder environments, influencing decision making, and validating technical approaches when needed.

Responsibilities

• Define and execute a product vision and roadmap for customer and project data products
• Plan and drive adoption across operating companies through training and feedback cycles
• Build relationships with local leadership to overcome resistance to data sharing and API access
• Identify and prioritize business use cases across finance, supply chain, quality, sales, and operations
• Establish clear data governance processes and ownership models
• Collaborate with IT contributors on integration activities and performance improvements
• Support GDPR compliance efforts and data quality initiatives with legal and source system owners
• Review SQL and Python logic to validate proposed technical approaches
• Coordinate the European rollout beginning with Finland and define a federated ownership structure
• Track product value using metrics, business impact analysis, and executive reporting

Requirements

• Professional experience with three to five years in data product management or data program leadership
• Experience working with data products or analytics platforms in enterprise environments
• Strong stakeholder management in complex matrixed organizations
• Experience driving adoption of data tools in environments with resistance or cultural barriers
• Understanding of Snowflake or cloud data platforms including warehousing and data modeling concepts
• Ability to review SQL queries and Python scripts to understand data logic
• Familiarity with BI tools including Tableau, Power BI, and Looker
• Knowledge of data governance frameworks, data quality approaches, and GDPR requirements for UK and EU markets

Nice to have

• Experience with multi country or multi site data programs
• Experience working within federated operating models
• Familiarity with cross border compliance and data residency considerations
• Experience working as an embedded consultant in client environments or consultancies

Client

Our client is a global entertainment company.

Project overview

This project centers on building a flexible multi brand ecommerce environment using the Shopify platform. The team aims to provide fast and accessible storefronts, custom app functionality, and stable backend integrations with internal business systems. The environment is expanding, and your contribution will help shape its evolution.

Position overview

You will work as a Shopify Engineer focused on creating reliable and scalable ecommerce experiences across several brands. You will develop custom themes, build Shopify applications, and design integrations that support a multi store ecosystem. Your work will contribute directly to improving performance, usability, and operational workflows for the product team.

Technology stack

Liquid, JavaScript, TypeScript, Node.js, Shopify Admin API, Shopify Storefront API, GraphQL, Git, Docker, Optional Python

Responsibilities

• Develop and customize Shopify themes using Liquid, HTML, CSS, and JavaScript
• Create reusable templates and components for multi brand setups
• Build and maintain private or public Shopify applications
• Integrate with Shopify Admin and Storefront APIs and work with webhooks
• Implement secure authorization flows using OAuth
• Build backend services with Node.js for app functionality and platform integrations
• Support data synchronization with ERP, PIM, or CRM systems
• Ensure strong performance, SEO readiness, accessibility, and smooth overall UX
• Troubleshoot platform issues and optimize storefront speed
• Collaborate with designers, product managers, and QA specialists throughout delivery

Requirements

• Experience of three years or more working in the Shopify ecosystem
• Strong knowledge of Liquid and Shopify theme development
• Practical experience with JavaScript and TypeScript
• Experience with Shopify APIs using REST or GraphQL
• Background in building Shopify apps with Node.js
• Understanding of ecommerce flows such as catalog, cart, checkout, promotions, and payments
• Ability to work independently and take ownership of deliverables

Nice to have

• Python experience useful for data integrations or ETL tasks
• Headless Shopify experience using Hydrogen, Remix, or Next.js
• Experience with multi store or multi language setups
• Familiarity with TailwindCSS or other UI frameworks
• Experience with Shopify Plus

Client

Our client is a digital platform provider.

Project overview

You will work on a product led SaaS platform focused on creating interactive and conversational digital experiences for businesses. The platform enables users to build engaging forms and surveys through features such as logic branching, workflow automation, payment enabled forms, and AI powered form generation. The project supports scalable data collection and helps companies optimize lead generation and workflow processes.

Position overview

In this role, you will improve and maintain existing backend services written in Go, support the development of data driven features, and contribute to the evolution of the platform infrastructure. You will investigate and assess technical approaches independently, build agentic components, and work with AI assisted development workflows. This position provides opportunities to influence backend architecture and extend the platform with scalable and reliable services.

Responsibilities

• Maintain and improve existing backend services written in Go
• Design schemas, optimize queries, and manage safe database migrations in PostgreSQL
• Develop backend logic and agentic components for automation and workflow execution
• Build and maintain MCP servers and related tooling
• Investigate technical approaches and propose alternatives for solving platform challenges
• Use AI coding agents to accelerate development and deliver working solutions
• Collaborate with product and engineering contributors on feature design and implementation
• Participate in code reviews and contribute to engineering best practices
• Support integration efforts across frontend, backend, and infrastructure components

Requirements

• Experience developing backend services using Go
• Experience working with PostgreSQL including schema design, performance tuning, and migration management
• Experience building agents, agentic tools, or MCP servers
• Ability to independently analyze problems and evaluate technical solutions
• Comfort using AI coding agents to support development workflows
• Experience working with relational databases and backend service development
• Experience participating in Agile development teams
• Fluency in English for documentation and collaboration

Nice to have

• Experience with AgentCore
• Experience with Python or Node.js for backend work
• Experience building frontend features using React
• Experience working with cloud environments or CI CD pipelines

Client

Our client is one of the world’s top 20 investment companies headquartered in Great Britain, with branch offices in the US, Asia, and Europe.

Project overview

The company’s IT environment is constantly growing, with around 30 programs and more than 60 active projects. They are building a data marketplace that aggregates and analyzes data from multiple sources such as stock exchanges, news feeds, brokers, and internal quantitative systems.

As the company moves to a new data source, the main goal of this project is to create a golden source of data for all downstream systems and applications. The team is performing classic ELT/ETL: transforming raw data from multiple sources (third-party and internal) and creating a single interface for delivering data to downstream applications.

Position overview

We are looking for a Data Engineer with strong expertise in DBT, Snowflake, and modern data engineering practices. In this role, you will design and implement scalable data models, build robust ETL/ELT pipelines, and ensure high-quality data delivery for critical investment management applications.

Responsibilities

• Design, build, and deploy DBT Cloud models.
• Design, build, and deploy Airflow jobs (Astronomer).
• Identify and test for bugs and bottlenecks in the ELT/ETL solution.

Requirements

• 5+ years of experience in software engineering (GIT, CI/CD, Shell scripting).
• 3+ years of experience building scalable and robust Data Platforms (SQL, DWH, Distributed Data Processing).
• 2+ years of experience developing in DBT Core/Cloud.
• 2+ years of experience with Snowflake.
• 2+ years of experience with Airflow.
• 2+ years of experience with Python.
• Good spoken English.

Nice to have

• Proficiency in message queues (Kafka).
• Experience with cloud services (Azure).
• CI/CD knowledge (Jenkins, Groovy scripting).

Client

Our client is a global travel-tech company providing corporate and leisure travel services worldwide.

Project overview

The client currently utilizes SAP Compleat as a mid-office automation platform. The system is deeply integrated with GDS platforms and supports complex travel workflows. SAP Compleat enforces quality assurance, applies fare and policy checks, manages PNR enrichment, and routes tasks into queues for agents.

This role focuses on business-as-usual support and incremental enhancements to keep the existing solution stable and efficient.

Position overview

We are seeking a Senior Business Analyst to serve as the bridge between operations and technology teams. The role involves analyzing existing workflows, gathering requirements for rule changes, and ensuring that SAP Compleat configurations align with business policies and compliance standards.

The ideal candidate will have strong analytical skills, a deep understanding of travel processes, and experience working with mid-office automation systems.

This position offers a $1,000 sign-in bonus for joining our team.

Responsibilities
 

• Analyze current SAP Compleat workflows and identify optimization opportunities.
• Gather and document requirements for new rules, validations, and workflow changes.
• Investigate issues highlighted by the client.
• Translate travel policies into functional specifications for SAP Compleat routines.
• Collaborate with developers to ensure accurate implementation of changes.
• Maintain documentation of processes, dependencies, and configuration logic.
• Act as a subject matter expert for stakeholders on SAP Compleat capabilities and limitations.
   

Requirements
 

• Proven experience as a Business Analyst in the travel domain or with mid-office systems.
• Strong understanding of GDS processes, PNR lifecycle, and queue management.
• Ability to interpret travel policies and compliance requirements.
• Excellent communication and stakeholder engagement skills.
• Familiarity with SAP Concur/SAP Compleat configuration concepts (rules, workflows, dictionaries) is a plus.
   

Nice to have
 

• Experience as a travel agent.

Client

Our client is a large international manufacturing company listed in the S&P 500, operating a complex, multi-site global environment. As part of a Data Strategy Development initiative, the organization is defining a clear, pragmatic, and scalable data strategy to improve decision-making, reduce manual processes, strengthen data ownership, and establish a strong foundation for future analytics and digital transformation. The engagement focuses on strategy definition and is expected to continue into platform and analytics implementation phases.

Position overview

The Data Solutions Consultant provides strategic oversight and expert advisory support throughout the Data Strategy engagement. The role ensures alignment with industry best practices, modern data and analytics trends, and proven transformation frameworks.

This position acts as a senior expert advisor across architecture, governance, operating model, and value realization topics validating strategic decisions, challenging assumptions, and guiding the team and client stakeholders on complex data transformation questions.

Responsibilities

• Provide strategic oversight across all Data Strategy workstreams (business, technology, governance, operations)
• Ensure alignment of the data strategy with industry best practices and modern data & analytics trends
• Advise on complex data governance and operating model design challenges
• Validate current-state assessment findings and strategic conclusions
• Review and challenge proposed architecture, governance, and operating model approaches
• Validate use case prioritization and value realization logic
• Advise on change management and adoption approaches for enterprise data programs
• Support risk identification and mitigation at strategy and model design level
• Contribute to and shape executive-level Data Strategy messaging and narrative
• Provide expert input into strategic principles, guardrails, and decision frameworks

Requirements

• Extensive experience in data strategy, data governance, and analytics transformation programs
• Proven advisory or consulting background in enterprise data initiatives
• Strong knowledge of industry best practices and data transformation frameworks
• Experience advising senior and executive-level stakeholders
• Ability to evaluate and validate strategic solution approaches across multiple domains
• Strong strategic thinking and structured problem-solving skills
• Experience with enterprise-scale data and analytics operating models

Nice to have

• Experience in manufacturing or industrial enterprise environments
• Background in large-scale data or digital transformation programs
• Familiarity with Azure, Snowflake, and modern cloud data platforms
• Experience contributing to executive-level strategy reports and board-level materials
• Consulting or principal-level advisory experience in global organizations

We are seeking a motivated Trainee UI/UX Designer to join our Media Practice and contribute to crafting modern, intuitive, and visually appealing digital experiences. In this role, you will collaborate closely with experienced designers and cross‑functional teams, gaining hands‑on exposure to the end‑to‑end design process. This opportunity is ideal for someone passionate about digital product design, eager to learn, and looking to grow within a dynamic, technology‑driven environment.

 Responsibilities

 Support the design team in creating intuitive and visually appealing user interfaces. 

Assist with wireframes, mockups, prototypes, and other design deliverables. 

Collaborate with developers, project managers, and other team members to bring ideas to life. 

Participate in design reviews, receive feedback, and apply it to improve your work. 

Learn and apply best practices in UI/UX design, accessibility, and user‑centered design. 

Take initiative in exploring new tools, techniques, and design trends. 

Requirements 

Portfolio with several interface‑focused works (educational, personal projects, and concepts welcome; website templates alone are not sufficient). 

Basic understanding of atomic design principles and design guidelines for modern digital platforms (web and/or mobile).

 Structured and analytical thinking, attention to detail, and perseverance. 

Strong interest in UI/UX design and clear motivation to grow professionally in this field. Familiarity with design tools such as Figma (preferred), Sketch, Adobe Creative Cloud, or similar. 

Basic understanding of design fundamentals: layout, typography, color theory, visual hierarchy. 

Ability to communicate ideas clearly, receive feedback constructively, and present your work.

 Good spoken English (for internal communication and learning materials). 

Creative mindset, curiosity, and openness to learning and new challenges.

Client

Our client is one of the world’s top 20 investment companies headquartered in Great Britain, with branch offices in the US, Asia, and Europe.

Project overview

The company’s IT environment is constantly growing, with around 30 programs and more than 60 active projects. They are building a data marketplace that aggregates and analyzes data from multiple sources such as stock exchanges, news feeds, brokers, and internal quantitative systems.

As the company moves to a new data source, the main goal of this project is to create a golden source of data for all downstream systems and applications. The team is performing classic ELT/ETL: transforming raw data from multiple sources (third-party and internal) and creating a single interface for delivering data to downstream applications.

Position overview

We are looking for a Data Engineer with strong expertise in DBT, Snowflake, and modern data engineering practices. In this role, you will design and implement scalable data models, build robust ETL/ELT pipelines, and ensure high-quality data delivery for critical investment management applications.

Responsibilities

• Design, build, and deploy DBT Cloud models.
• Design, build, and deploy Airflow jobs (Astronomer).
• Identify and test for bugs and bottlenecks in the ELT/ETL solution.

Requirements

• 5+ years of experience in software engineering (GIT, CI/CD, Shell scripting).
• 3+ years of experience building scalable and robust Data Platforms (SQL, DWH, Distributed Data Processing).
• 2+ years of experience developing in DBT Core/Cloud.
• 2+ years of experience with Snowflake.
• 2+ years of experience with Airflow.
• 2+ years of experience with Python.
• Good spoken English.

Nice to have

• Proficiency in message queues (Kafka).
• Experience with cloud services (Azure).
• CI/CD knowledge (Jenkins, Groovy scripting).

Client

Our client is a large international manufacturing company listed in the S&P 500 and operating within a complex, multi‑site global environment. As part of a Data Strategy Development initiative, the organization is working to define a clear, pragmatic, and scalable data strategy aimed at improving decision‑making, reducing manual processes, strengthening data ownership, and laying a solid foundation for future analytics and digital transformation. The engagement is currently focused on strategy definition and is expected to progress into platform and analytics implementation phases.
 

Position overview

The Data Solutions Architect leads the definition of the future-state data and analytics architecture as part of the overall data strategy. The role is responsible for designing the end-to-end architectural blueprint, ensuring alignment between business objectives, governance requirements, and technology capabilities.

This position operates at a strategic and conceptual level, defining logical architecture, integration patterns, and platform standards centered on Microsoft Azure and Snowflake, without committing to physical implementation during the strategy phase.

Responsibilities

• Assess the current-state technology and data landscape across enterprise, manufacturing, logistics, and analytics systems
• Define the future-state data and analytics architecture aligned with business and governance objectives
• Design logical data integration and data flow models for a complex, multi-site environment
• Define target BI and analytics architecture supporting enterprise reporting and advanced analytics
• Establish data models, security principles, and platform standards for a scalable and governed data ecosystem
• Develop a phased data platform evolution roadmap with a focus on Azure and Snowflake
• Provide architectural inputs into the Data Governance Framework and operating model
• Contribute architecture sections to the Data Strategy Report
• Define logical data sourcing and integration approaches for enterprise systems without physical implementation commitments

Requirements

• Strong experience in enterprise data and analytics architecture
• Proven expertise with Microsoft Azure and Snowflake
• Experience designing future-state architectures in complex, global environments
• Solid understanding of data governance, security, and analytics enablement
• Ability to operate at strategy and blueprint level while grounding decisions in practical feasibility
• Experience working with senior stakeholders in high-visibility initiatives

Nice to have

• Experience with manufacturing, logistics, or industrial enterprise environments
• Familiarity with SAP ECC / SAP BW, SAP C4C, ERP and operational systems
• Experience with BI and analytics platforms such as Power BI, Qlik Sense, Alteryx
• Background in data strategy or large-scale transformation programs