N-iX

We are looking for a Middle DevOps Engineer (GCP).

Responsibilities:

• Infrastructure as Code (IaC): Design, deploy, and manage scalable cloud infrastructure using Terraform and Ansible.
• Cloud Platform Management: Administer and optimize Google Cloud Platform (GCP) environments, including IAM roles, VPCs, network peering, and billing management.
• CI/CD & GitOps: Build, optimize, and maintain automated pipelines using Jenkins and GitLab CI. Implement GitOps workflows for infrastructure and application repositories.
• Containerization & Orchestration: Manage containerized applications running on Docker and Kubernetes.
• System Automation: Write efficient scripts (Bash, Python, or PowerShell) to automate operational routines, security patching, and system maintenance.
• Platform & Observability Integration: Integrate enterprise SaaS platforms (e.g., performance and resource optimization tools like IBM Turbonomic) into existing GCP setups.

• Collaboration & Operations: Partner with cross-functional technical teams, participate in shift coverage/patching cycles, and troubleshoot infrastructure issues to meet SLA standards.

   

Requirements & Qualifications:

• GCP Proficiency: Solid hands-on experience with Google Cloud Platform (Compute Engine, IAM, VPC networks, GKE, service accounts).
• IaC Expertise: Strong skills with Terraform (module design, state management) and Ansible for configuration management.
• CI/CD & Automation: Experience configuring Jenkins pipelines and GitLab CI/CD. Familiarity with GitOps principles.
• Scripting: Proficiency in Bash, Powershell and Python.
   
• Containers: Direct experience with Docker and basic to intermediate Kubernetes administration.
• Networking & Security: Practical understanding of cloud networking (subnets, routing, firewalls, peering) and cloud security best practices.
• Server Administration: Linux (Ubuntu, Debian, RedHat) and Windows
   

Nice to have:

• Experience with cloud optimization and monitoring platforms (e.g., Turbonomic, Datadog, Prometheus, Crowdstrike).
• Knowledge of Windows Server administration / PowerShell scripting alongside Linux setups.

• Experience with Azure

   

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software,IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

Our client is a fast-growing European fintech company in the business spend management space — corporate cards and related financial products — serving SME and mid-sized business customers across the EU and UK, in a regulated environment with GDPR compliance obligations. Engineering is organized into cross-functional squads, with platform/enabling teams providing shared tooling horizontally. The client already runs an AI-native engineering practice: Claude Code and GitHub Copilot are used daily, supported by a growing library of shared, versioned Skills embedded in key repositories, enabling an end-to-end flow from ticket to implementation, testing and PR in several codebases. AI tool/connector rollout follows an approved-list and pilot process. The client is AWS-first overall; for data platform and analytics workloads it also runs GCP, with BigQuery as the primary data warehouse. Day-to-day coordination is Slack-first, with Linear for ticket tracking, GitHub for code/PR review, and Notion as the knowledge base.

The client is also building out its AI platform and agentic capabilities: it recently launched an MCP surface in closed beta, giving external AI assistants a structured way to connect and perform real workflows behind guardrails, and treats agent reliability as a system property (tool contracts, approval/consent gates for write actions, evaluation harnesses).

We're looking for a Senior AI Platform Engineer to design, build and operate the shared GenAI infrastructure that product teams rely on.

Key Responsibilities:

• Design, build and operate shared GenAI infrastructure: LLM routing, vector search and RAG infrastructure, MCP gateway, and AI observability/evaluation tooling.
• Apply strong distributed-systems fundamentals: async workflows, idempotency, failure design.
• Work hands-on with LLM APIs in production.
• Apply an AI-security mindset: prompt injection defenses, PII-in-logs handling, credential handling.
• Apply real engineering rigor to the Context Development Lifecycle (CDLC): generate, evaluate, distribute and observe the context that powers AI agents.
• Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation.
• Embed directly into a client squad as a hands-on Individual Contributor (not a coaching/managerial role).

Must-Have Skills:

• Kotlin or Python as primary proficiency, with comfort contributing to both.
• Experience designing/building/operating shared GenAI infrastructure: LLM routing; vector search and RAG infrastructure; MCP gateway; AI observability and evaluation tooling.
• Strong distributed-systems fundamentals: async workflows, idempotency, failure design.
• Hands-on production experience with LLM APIs.
• AI-security mindset: prompt injection, PII in logs, credential handling.
• Agent & harness engineering fluency, with concrete evidence of building/operating this kind of tooling, not just using it.
• Comfortable with the client's current daily tools: Claude Code and GitHub Copilot.

Nice-to-Have Skills:

• Specific cloud depth (AWS and/or GCP), Grafana, or named LLM API vendors. The RFP describes these capabilities generically rather than naming specific tools for this role — listed here as plausible, not confirmed.

About the client

Our customer is the European online car market, serving over 30 million monthly users and present in 18 countries. As part of their project, they are building an internal AI platform and are looking for a Senior AI Engineer with genuine, hands-on experience building agentic AI systems - not just integrating existing tools.

This is a hands-on engineering role for someone who has real depth in both AI system design and AWS platform engineering, and who can move fluidly between the two to build production-grade, agentic solutions.

While this is a hands-on role, you will also influence technical direction, raise the bar for engineering practices, and enable other data scientists and engineers to succeed.

Duration is 4-6 months with the possibility of prolongation. 

Time zone: EU or Canadian time zone.

We are ready to consider candidates for part-time cooperation.

Responsibilities:

• Design, build, and maintain agentic AI systems as part of the AI platform
• Work in depth with AWS to build and operate the underlying platform infrastructure
• Design and implement knowledge graph solutions to support AI reasoning and retrieval (e.g. using AWS Neptune or Neo4j)
• Collaborate with cross-functional teams to align the AI platform with business goals and internal use cases
• Troubleshoot and resolve issues across integrated systems to ensure reliable, end-to-end agentic workflows.

Requirements:

• 5+ years of experience in Software Development
• Real, hands-on experience building agentic AI systems - genuine understanding of how they work, beyond just using existing tools or frameworks off the shelf.
• Strong, in-depth AWS experience - real platform engineering depth, not incidental or side use of AWS.
• Strong Python knowledge
• Deep experience building knowledge graphs, ideally with AWS Neptune or Neo4j - especially valuable for this role.
• Experience with LLMs, prompt engineering, and AI integration patterns.
• Strong troubleshooting skills and a collaborative, team-first mindset.
• English level - upper-intermediate (both verbal and written)

Nice to Have:

• Familiarity with MCP (Model Context Protocol).
• Proficiency in infrastructure as code (e.g. CDK in TypeScript/Node.js) to manage AWS services such as Amazon Bedrock and Agent Core.
• Docker/Kubernetes familiarity.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

N-iX is seeking a motivated Trainee AI Engineer to join our dynamic team and working on the AI solution for the global biopharmaceutical company. This role offers an excellent opportunity to work with cutting-edge AI technologies to help create innovative solutions that provide engaging and insightful experiences for users. The ideal candidate will have a basic understanding of machine learning and a keen interest in developing AI applications. While our project uses Palantir Foundry, prior experience with it is a plus, but not mandatory.

Requirements:

• Currently pursuing or recently completed a Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.
• Basic programming skills in Python.
• Familiarity with machine learning concepts and frameworks like TensorFlow or PyTorch.
• Interest in natural language processing and computer vision.
• Willingness to learn and work with cloud services (AWS, Azure, or GCP).
• Ability to work collaboratively in a team environment.
• Strong problem-solving skills.
• Upper Intermediate+ knowledge of the English language.
• Ukrainian language - advanced or higher.

Responsibilities:

• Assist in developing AI solutions, including chatbots and computer vision applications.
• Support the integration of AI solutions into existing platforms and workflows.
• Help optimize machine learning models for performance, accuracy, and user engagement.
• Contribute to building and optimizing retrieval-augmented generation (RAG) systems and vectorized databases.
• Monitor and evaluate the performance of AI applications, identifying areas for improvement.
• Stay informed about developments in AI, machine learning, and related fields to contribute to innovative solutions.
• Assist in developing and maintaining documentation related to AI models and applications.
• Work with data engineers to support data preparation for training and fine-tuning models.
• Support the implementation of security measures to protect sensitive information processed by AI applications.

Nice to have:

• Experience with AI projects through coursework or personal projects.
• Understanding of RESTful APIs and how applications integrate.
• Familiarity with version control tools like Git.

About the Client:

Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions. We develop advanced data and analytics solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Our projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.

About the Role:

We are looking for a Senior Data Analyst to support a project focused on assessing and building a comprehensive customer universe using data from internal and external sources. The role focuses on data acquisition, validation, matching, and process development — assessing data quality and coverage, matching external data with existing customer/account databases, identifying gaps and duplicates, and developing a structured approach for ongoing data maintenance and improvement. The contractor will work closely with Global Insights, Customer Excellence, and local affiliates to refine processes, support pilot readiness, and translate findings into practical recommendations.

Key Responsibilities:

• Support the execution of a data acquisition and validation POC using external data sources.
• Work with large datasets from internal and external sources, including cleansing, structuring, and validating data.
• Assess match rates, data coverage, duplicates, gaps, inconsistencies, and overall data quality.
• Investigate data discrepancies and identify opportunities for data enrichment and improvement.
• Evaluate external data attributes as potential indicators of customer/account size, activity, or potential.
• Develop and document approaches for customer universe identification, matching, validation, and ongoing maintenance.
• Create clear process documentation and SOPs and identify opportunities for process simplification or automation.
• Support pilot preparation by defining relevant requirements, success metrics, and recommendations.
• Collaborate with business stakeholders and local teams to understand requirements and communicate findings.
• Present analytical findings and practical recommendations to relevant stakeholders.
• Maintain project documentation, trackers, and progress updates.

Required Qualifications:

• 4+ years of experience in Data Analytics, Data Quality, Data Operations, Business Analysis, or a related field.
• Strong hands-on experience working with large and complex datasets.
• Advanced Excel skills and confidence working with large volumes of data.
• Practical experience with data cleansing, validation, matching, and deduplication.
• Experience combining and analyzing data from multiple sources.
• Strong analytical and problem-solving skills, with the ability to investigate data quality issues and identify patterns, gaps, and inconsistencies.
• Ability to independently structure ambiguous problems and develop practical approaches to solving them.
• Ability to translate analytical findings into clear business insights and recommendations.
• Strong attention to detail and data accuracy.
• Good communication and stakeholder management skills.
• Ability to work independently and take ownership of tasks in a fast-moving environment.

Nice to have:

• Experience in healthcare, aesthetics, medical devices, pharmaceuticals, or commercial excellence.
• Experience using external data providers or web-sourced datasets.
• Experience with CRM systems (Veeva CRM, Salesforce, Dynamics, etc.).
• Experience building customer universe or account segmentation approaches.
• Familiarity with data enrichment and data quality methodologies.
• Experience working across international markets.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

N-iX is looking for a Senior Kotlin Software Engineer to join a new engagement with a leading European fintech company. This is an exciting opportunity to become part of a modern engineering organization that is redefining how businesses manage corporate spending through innovative financial technology solutions.

The company is building an AI-native engineering environment where developers leverage cutting-edge AI tools throughout the software development lifecycle. You'll work within cross-functional product squads, contributing to both existing platforms and new product initiatives while helping shape scalable, data-driven backend services.

Responsibilities:

• Design and develop scalable backend services using Kotlin.
• Build and own clean API layers serving both internal and customer-facing products.
• Work at the intersection of backend engineering and data platforms, integrating analytical data into product experiences.
• Develop solutions leveraging BigQuery and OLAP serving layers.
• Collaborate closely with cross-functional engineering teams in an agile environment.
• Apply AI-assisted development practices using modern engineering tools.
• Contribute to high-quality, maintainable, and scalable software architecture.

Requirements:

• Strong commercial experience with Kotlin.
• Hands-on experience with BigQuery in production environments.
• Experience working with OLAP serving layers and analytical query systems.
• Experience with AI-assisted development tools such as GitHub Copilot or Claude Code.
• Solid background in backend architecture and API design.
• Experience building production-grade distributed systems.
• Strong understanding of modern software engineering best practices.
• Professional level of English.
• Currently based in the European Union.

Nice to have:

• Java experience.
• PostgreSQL.
• AWS and/or GCP.
• Experience with REST and/or gRPC APIs.

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

About the Role:
We are looking for an experienced finance leader to take full ownership of the Group’s IFRS reporting function and support the continued development and transformation of the wider finance organization.
This is a Director-grade position reporting directly to the CFO, with full ownership of the Group Reporting function and a broader mandate to lead the Finance Excellence agenda across the organization. 
The Director will be responsible for the quality, accuracy, consistency, and timely delivery of financial reporting. In addition, the Director will lead the Finance Excellence and transformation agenda across finance functions, with a focus on process improvement, standardization, systems, automation, controls, and data quality.

Key Responsibilities:

Group Reporting and IFRS Leadership:

• Lead the Group reporting and IFRS consolidation function, ensuring accurate, timely, and consistent financial reporting across all locations
• Take overall responsibility for the preparation of the Group’s IFRS financial statements and related disclosures
• Provide guidance and final technical conclusions on complex, significant, and non-routine accounting and reporting matters
• Develop and maintain Group accounting policies, reporting standards, and methodological guidance
• Ensure consistent application of IFRS and Group accounting policies across legal entities and jurisdictions
• Establish and maintain effective governance over the Group reporting process
• Oversee the quality of financial information submitted by local finance teams and address material reporting issues
• Lead the external audit process and manage relationships with auditors
• Monitor developments in IFRS and lead the implementation of new reporting requirements
• Lead, develop, and strengthen the Group Reporting team.

Finance Excellence and Transformation:

• Lead and coordinate the execution of the finance excellence and transformation agenda across finance processes
• Identify and prioritize opportunities to improve finance processes, controls, systems, data quality, and organizational effectiveness
• Coordinate transformation initiatives and cross-functional finance projects
• Challenge existing finance processes and practices and develop practical recommendations for improvement
• Drive the standardization of finance processes, policies, controls, responsibilities, and data definitions
• Identify unnecessary manual processes and recommend proportionate solutions
• Support the development of reliable and scalable finance systems and reporting architecture
• Contribute to the governance of the Group chart of accounts, reporting dimensions, mapping rules, and finance master data
• Act as a senior finance representative in automation initiatives and ERP integration
• Monitor delivery of transformation initiatives and ensure that expected benefits are achieved.

Requirements:

• University degree in Finance, Accounting, Economics, or a related field
• Professional qualification such as ACCA, ACA, CPA or equivalent
• Strong senior-level experience in IFRS reporting, consolidation, and audit in Big 4 (Manager, Senior manager level) is a must for this position, supported by 3+ years' track in finance management, process improvement, FP&A or similar
• Deep practical knowledge of IFRS and experience resolving complex accounting matters
• Experience working in an international, multi-entity, or multi-jurisdictional organization is a strong asset
• Proven experience leading finance transformation, process improvement, ERP integration and automation initiatives is a strong asset
• Strong leadership, project-management, and stakeholder-management skills
• Passion to drive changes added by ability to influence, challenge, and coordinate senior finance professionals across different functions
• Strong communication skills in English.
   

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software,IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

We are looking for a Non-Functional Test Engineer who can design, implement, and maintain automated tests that evaluate the performance, stability, scalability, and resilience.

The role will focus on reproducing realistic enterprise workloads and failure conditions to identify bottlenecks and reliability issues before they reach customers. The engineer will work closely with development, QA, platform, and DevSecOps teams to define measurable performance expectations and integrate non-functional testing into our release process.

Key Responsibilities:

• Design, develop, and execute non-functional test scenarios covering load, stress, scalability, endurance, failover, and resilience testing.
• Simulate real-world user traffic and peak load conditions to validate system performance.
• Identify performance bottlenecks across application, database, API,infrastructure, and network layers.
• Work closely with developers, DevSecOps, QA, product, and infrastructure teams to define test objectives and acceptance criteria.
• Prepare detailed test reports including observations, bottlenecks, metrics, risks, and recommendations.
• Support performance testing as part of CI/CD pipelines where applicable.

Skills required:

• Strong experience with performance and load testing, preferably using tools such as k6, Gatling, JMeter, Locust, or similar.
• Experience designing load, stress, scalability, endurance and resilience tests.
• Good understanding of HTTP APIs, distributed systems, concurrency, queues and asynchronous processing.
• Experience with Kubernetes / containerized environments.
• Ability to analyse CPU, memory, JVM heap, disk, network and application metrics.
• Experience with observability tools such as Prometheus, Grafana, OpenTelemetry or similar.
• Experience integrating non-functional tests into CI/CD or scheduled test pipelines.
• Scripting/programming skills in a language suitable for test automation.

• Ability to work with developers to reproduce production/customer performance problems and turn them into automated regression scenarios.

   

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings

• Other location-specific benefits

   

*not applicable for freelancers

Client Overview:
The Client provides comprehensive operational support and a range of expert services to the world’s leading insurers, brokers, fleet managers and automotive manufacturers. 3,300 employees across ten countries deliver exceptional standards on a large scale for over 1,200 clients. We help the global insurance market to handle millions of claims each year in the most cost-effective and efficient ways possible.
The Client is embarking on an exciting and challenging transformation program and our software solutions are a driving force behind this strategy using cloud computing and leading-edge design patterns. 

Requirements:

• 5+ years as a Product Owner in a software development environment
• Strong requirements elicitation, analysis, and documentation across business, functional, and non-functional needs
• Hands-on experience writing clear user stories with acceptance criteria and managing/prioritizing a product backlog
• Experience working in Agile / Scrum / Kanban teams
• Proficiency with Jira (required) and Confluence (or comparable Agile and documentation tooling)
• Experience with Miro or similar collaboration/whiteboarding tools
• Familiarity with SaaS business models and cloud-based architectures, with a working understanding of AWS/Azure
• Understanding of REST APIs, integrations, and data flows
• Process mapping and modeling skills (BPMN, flow diagrams)
• Strong stakeholder management, facilitation, and workshop leadership
• Solid understanding of the software development lifecycle (SDLC)
• Strong analytical and problem-solving skills
• Ability to work in a distributed, multi-timezone team (EU, UK)
• Excellent English communication skills, comfortable with both technical and non-technical audiences

Nice to Have:

• Experience with AI-assisted development and analysis tools (Copilot, Claude, Cursor)
• Background in enterprise / B2B SaaS, multi-tenant platforms, or large-scale portals
• Experience supporting a platform consolidation, migration, or feature-parity initiative
• Certification such as CBAP, PMI-PBA, or Agile/Scrum (CSM, SAFe) / Product Owner (CSPO)
• Experience with SQL or data querying tools
• Exposure to compliance or regulatory-driven environments (data privacy, security standards)

Responsibilities:

• Own, refine, and prioritize the product backlog for the portal feature-parity workstream
• Translate product vision and business objectives into clear, actionable user stories with acceptance criteria in Jira
• Elicit, analyze, and document business, functional, and non-functional requirements
• Facilitate requirements workshops, stakeholder interviews, and discovery sessions
• Lead and support sprint planning, backlog grooming, and release planning
• Ensure requirements traceability from business objective through to delivery
• Collaborate with engineering, UX, DevOps, and QA to clarify requirements and resolve ambiguities
• Document workflows, process diagrams, system interactions, and data flows
• Define KPIs and success metrics for new features and releases
• Support UAT planning and validation to confirm delivered functionality meets business intent
• Identify risks, dependencies, and impacts of proposed changes
• Engage with Client product and engineering counterparts in EU/UK on scope, integration points, and delivery milestones
• Participate in Agile ceremonies (stand-ups, planning, retros, demos)

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

At N-iX CTO Group, we harness the power of technology to drive innovation and deliver exceptional business value. We specialize in designing and executing industry-relevant solutions that redefine standards in enterprise technology. Join a vibrant team committed to driving large-scale transformation across global enterprises.

As a Principal Solutions Architect, you will play a key leadership role in shaping technology direction, guiding cross-functional initiatives, and enabling high-impact delivery. You’ll be responsible for leading complex solution engagements, from discovery and advisory to implementation, while mentoring architecture talent, strengthening practices, and contributing to company-wide strategic growth.

This role is ideal for a seasoned architect with strong consulting capabilities, a track record of hands-on project delivery, and the ability to scale architectural impact across multiple teams and accounts.

Key Responsibilities

Strategic & Leadership Responsibilities:

• Lead architecture visioning and cross-cutting strategic initiatives across a portfolio of enterprise clients.
• Drive practice growth by establishing frameworks, methodologies, and reusable assets for solution delivery and consulting engagements.
• Build and mentor architecture and engineering teams, ensuring capability uplift and technical excellence across accounts.
• Act as a trusted advisor to client C-level executives and technology leaders, helping shape digital strategy and technology roadmaps.
• Govern architecture implementation across the portfolio to ensure alignment with best practices, maintainability, and long-term value.

Delivery & Consulting Responsibilities:

• Lead or guide discovery phases, assessments, technical workshops, and architecture audits.
• Translate complex business and technical requirements into scalable, sustainable architectural solutions.
• Own solution proposals during pre-sales and upsales, including technical vision, high-level design, risk management, and cost estimation.
• Lead project execution, ensuring architecture is delivered according to vision.
• Evaluate and adopt emerging technologies, aligning client needs with forward-thinking architectural approaches.
• Act as a Chief Architect and lead a team with subordinate architects on the complex accounts.

Qualifications:

• 10+ years of relevant experience in software engineering and solution architecture.
• 3+ years in an architecture leadership or principal-level role within the IT service / IT consulting environment.
• Proven ability to lead complex, high-impact consultancy engagements with global enterprise clients.
• Demonstrated experience building solutions from scratch, preferably for large-scale distributed systems (team size 30+, duration 12+ months).
• Deep understanding of cloud-native architecture, with hands-on experience in at least two major cloud platforms (AWS, Azure, GCP).
• Strong background in microservices, APIs, integration patterns, and distributed system design.
• Track record of coaching, mentoring, and team enablement within a matrixed or consulting environment.
• Exceptional stakeholder engagement and communication skills—equally comfortable with engineers and executives.
• Fluent in modern delivery practices: Agile, DevOps, CI/CD, Infrastructure as Code, etc.
• English - Upper-Intermediate or Advanced

Desirable Certifications:

• SEI Software Architecture Professional
• TOGAF or similar enterprise architecture certification
• Cloud certifications (e.g., AWS Solutions Architect Associate/Professional, Azure Solutions Architect Expert)
• Domain-specific expertise in areas such as data platforms, security, or enterprise integration is a plus

About This Role:

We're looking for a Senior, dbt-specialised Analytics Engineer to build and maintain the business-critical data models behind the client's credit, payments, and fraud/AML reporting. Our client is a fast-growing European fintech company in the business spend management space — corporate cards and related financial products — serving SME and mid-sized business customers across the EU and UK, in a regulated environment with GDPR compliance obligations. Engineering is organized into cross-functional squads, with platform/enabling teams providing shared tooling horizontally. The client already runs an AI-native engineering practice: Claude Code and GitHub Copilot are used daily, supported by a growing library of shared, versioned Skills embedded in key repositories, enabling an end-to-end flow from ticket to implementation, testing and PR in several codebases. AI tool/connector rollout follows an approved-list and pilot process. The client is AWS-first overall; for data platform and analytics workloads it also runs GCP, with BigQuery as the primary data warehouse. Day-to-day coordination is Slack-first, with Linear for ticket tracking, GitHub for code/PR review, and Notion as the knowledge base.

Key Responsibilities:

• Build and maintain business-critical dbt data models.
• Model data powering credit, payments, and fraud/AML reporting (working from aggregated/modeled data, not raw access to real customer/transaction data — see note above).
• Apply strong SQL and data-modelling skills.
• Multiply the output and quality of the squad you join, and share patterns/practice beyond your immediate team so adoption compounds across the organisation.
• Embed directly into a client squad as a hands-on Individual Contributor (not a coaching/managerial role).

Must-Have Skills:

• Experience with dbt.
• Strong SQL and data-modelling skills.
• Experience building and maintaining business-critical data models for credit, payments, and fraud/AML reporting.
• BigQuery — the client's stated primary data warehouse for data platform and analytics workloads.
• Experience with fintech domain. 

Nice-to-Have Skills:

• Git — standard, expected tooling, but not explicitly named in the RFP for this role.

Join an exciting journey to create a cutting-edge Consumer Data Lake for a leading global organization based in Europe. This platform will unify, process, and leverage consumer data from various systems, unlocking advanced analytics, insights, and personalization opportunities. As a Senior Data Engineer, you will play a pivotal role in shaping and implementing the platform's architecture, focusing on hands-on technical execution and collaboration with cross-functional teams.

Your work will transform consumer data into actionable insights and personalization on a global scale. Using advanced tools to tackle complex challenges, you’ll innovate within a collaborative environment alongside skilled architects, engineers, and leaders.

Key Responsibilities:

• Hands-On Development: Build, maintain, and optimize data pipelines for ingestion, transformation, and activation.
• Create and implement scalable solutions to handle diverse data sources and high volumes of information
• Data Modeling & Warehousing: Design and maintain efficient data models and schemas for a cloud-based data platform.
• Develop pipelines to ensure data accuracy, integrity, and accessibility for downstream analytics.
• Collaboration: Partner with Solution Architects to translate high-level designs into detailed implementation plans.
• Work closely with Technical Product Owners to align data solutions with business needs.
• Collaborate with global teams to integrate data from diverse platforms, ensuring scalability, security, and accuracy.
• Platform Development: Enable data readiness for advanced analytics, reporting, and segmentation.
• Implement robust frameworks to monitor data quality, accuracy, and performance.
• Testing & Quality Assurance: Implement robust security measures to protect sensitive consumer data at every stage of the pipeline
• Ensure compliance with data privacy regulations (e.g., GDPR, CCPA ..) and internal policies.
• Monitor and address potential vulnerabilities, ensuring the platform adheres to security best practices.

Requirements:

• Over 4+ years of experience showcasing technical expertise and critical thinking in data engineering.
• Hands-on experience with DBT and strong Python programming skills.
• Proficiency in Snowflake and expertise in data modeling are essential.
• Demonstrated experience in building consumer data lakes and developing consumer analytics capabilities is required.
• In-depth understanding of privacy and security engineering within Snowflake, including concepts like RBAC, dynamic/tag-based data masking, row-level security/access policies, and secure views.
• Ability to design, implement, and promote advanced solution patterns and standards for solving complex challenges.
• Familiarity with multiple cloud platforms (Azure or GCP preferred, with a focus on Azure).
• Practical experience with Big Data batch and streaming tools.
• Competence in SQL, NoSQL, relational database design (SAP HANA experience is a bonus), and efficient methods for data retrieval and preparation at scale.
• Proven ability to collect and process raw data at scale, including scripting, web scraping, API integration, and SQL querying.
• Experience working in global environments and collaborating with virtual teams.
• A Bachelor’s or Master’s degree in Data Science, Computer Science, Economics, or a related discipline.

As a Data Engineer on the Enterprise Data & Intelligence team, you will design, build, and maintain the data pipelines and models that underpin Fourth’s single source of truth. Reporting to the Senior Data Engineer, you will gather and translate business requirements into reliable, well-tested data solutions on our Azure-based cloud platform. You will collaborate closely with analytics engineers and business stakeholders to scope, prioritise, and deliver data products that serve FP&A, Commercial, Product, and AI teams.

Responsibilities:

1. Data Pipeline Development & Optimisation

•Build, maintain, and optimise scalable ETL/ELT pipelines (batch and near-real-time) on Azure Data Cloud Platform (e.g., Data Lake, Microsoft Fabric, Azure Data Factory).

• Develop and refine data models to support BI reporting, analytics, and ML/AI use cases.

•Write efficient, well-documented T-SQL and PySpark code following team coding standards.

2. Data Quality, Testing & Governance

• Implement automated testing, data validation, and monitoring (SLAs, alerts) to ensure pipeline reliability.

• Contribute to data governance practices, including lineage tracking, metadata management, and quality controls.

•Support CI/CD pipelines for data assets, ensuring version control and reproducibility.

3. Requirements Scoping & Cross-Functional Collaboration

•Partner with analytics engineers to scope, refine, and prioritise data requirements from business stakeholders.

•Work with Analysts, BI Developers, Data Scientists, and business teams to translate requirements into production-ready data solutions.

•Provide input on data readiness for machine learning and analytics projects.

4. Platform Contribution & Continuous Improvement

• Contribute to the evolution of the ED&I data platform, including tooling, standards, and documentation.

• Stay current with emerging data engineering patterns and technologies; propose improvements to team processes.

• Leverage AI-driven development tools (e.g., generative-AI code assistants, automated data profiling) to accelerate delivery.

• Support performance tuning and cost optimisation across the data platform.

Requirements:

Experience: 3+ years in data engineering or a closely related role.

Education: Bachelor’s degree in Computer Science, Data Engineering, or a related field.

Technical Skills:

○Strong T-SQL skills and working proficiency in PySpark or Python for data processing.

○Hands-on experience with MS Azure Storage Explorer and SSMS.

○Hands-on experience with cloud-based data engineering services and orchestration tools (e.g., Azure Data Factory, Microsoft Fabric).

○Practical experience building ETL/ELT pipelines and dimensional or analytical data models.

○Familiarity with CI/CD practices in data engineering, including version control (Git) and automated testing.

Preferred Qualifications
• Experience with real-time or streaming data architectures.
• Experience with PowerShell, Apache Kafka, and/or KQL.
• Exposure to AI/ML workflows (feature engineering, data preparation for model training).
• Familiarity with Power BI or other BI/visualisation tools.
• Experience using AI productivity tools (e.g., ChatGPT, Claude, Copilot, Cursor) in day-to-day and data engineering tasks.
• Understanding of data security, privacy, and compliance considerations.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers
 

N-iX is seeking an experienced Senior Project Manager/Scrum Master for a hybrid, multi-stream role that combines account management support, agile team leadership, SAFe consulting, and end-to-end delivery of solution-based projects. The role spans staff augmentation engagements and solution delivery in a sophisticated multi-vendor enterprise environment, requiring someone who can establish robust delivery frameworks, coach teams to excellence, and advise the client on scaled agile practices. A solid technical understanding of IT is essential, as the managed streams have a significant technical component.

Responsibilities:

• Supervise solution-based projects end-to-end: Discovery, MVP, release, and support
• Lead PMP-grade project management covering scope, schedule, budget, risk, and cross-functional dependencies
• Act as Scrum Master for dev teams, facilitating ceremonies, removing impediments, and tracking metrics
• Consult clients on SAFe implementation, PI planning, ART coordination, and hybrid delivery frameworks
• Support account management for staff augmentation teams, managing team health, utilization, and escalations
• Maintain technical dialogue with engineers and assess enterprise system integration risks
• Drive hands-on GenAI adoption in management workflows (reporting, planning) and coach teams on AI-assisted practices
• Serve as primary contact for senior stakeholders, delivering transparent status reports and strategic roadmaps

Requirements:

• 5+ years combined experience in Project Management and Scrum Master roles
• Proven track record in end-to-end solution delivery, hybrid (Waterfall/Agile) environments, and staff augmentation models
• Hands-on experience within SAFe environments and multi-vendor governance setups
• Strong technical background covering SDLC, software architecture, enterprise integrations, and DevOps/CI-CD
• Practical experience applying GenAI tools to management workflows and delivery optimization
• Proficiency with standard project management tooling (Jira, MS Project, Monday.com, etc.)
• Excellent executive presentation, stakeholder management, and analytical skills
• At least Upper Intermediate English level.
   

Preferred Qualifications:

• PMP, CSM/PSM, or SAFe certifications
• AWS certification (Cloud Practitioner or Solutions Architect)
• Hands-on technical background (prior engineering/IT role)
• Consulting background or experience in enterprise software for industrial/manufacturing sectors

We are seeking an experienced Senior Business Analyst to join a data management project within a leading pharmaceutical company.

The role will focus on Master Data Management (MDM), data modeling, and data governance, acting as a business counterpart to MDM and data platform teams. The Business Analyst will help translate business needs into clear data requirements, models, and processes, while supporting the development of downstream data structures and ontologies.

Responsibilities:

• Act as a senior business counterpart for MDM, data platform, and Foundry teams, owning the clarification and translation of business needs into actionable data requirements.
• Lead requirements discovery and analysis related to Master Data Management, including master data domains, attributes, relationships, business rules, hierarchies, and ownership.
• Work closely with business stakeholders and technical teams to define how master data should be structured, governed, and represented across downstream systems and data platforms.
• Support the definition and refinement of conceptual and logical data models, ensuring that business concepts and relationships are accurately represented.
• Facilitate discussions between business and technical stakeholders, proactively resolving ambiguities, inconsistencies, and gaps in data requirements.
• Contribute to the development and evolution of enterprise ontologies, including the definition of business entities, relationships, terminology, and semantic models.
• Support data governance activities, including data definitions, ownership, quality rules, standards, and consistency across systems.
• Analyze existing data structures and processes and recommend improvements to support scalable and consistent enterprise data management.
• Maintain clear documentation covering business requirements, data definitions, models, business rules, decisions, and dependencies.
• Validate proposed data models and delivered solutions with business stakeholders to ensure alignment with business processes and intended use.
• Collaborate closely with distributed stakeholders and teams, including colleagues based in the US.

Requirements:

• 5+ years of experience as a Business Analyst, Data Business Analyst, or similar role within complex enterprise environments, with significant exposure to data-related initiatives.
• Strong practical understanding of Master Data Management principles, including master data domains, golden records, hierarchies, relationships, matching, data ownership, governance, and lifecycle management.
• Experience translating complex business concepts into structured data requirements and data models.
• Good understanding of data modeling principles, including entities, attributes, relationships, reference data, and conceptual/logical data models.
• Experience working closely with MDM, data engineering, data architecture, or enterprise data platform teams.
• Ability to operate as an independent and senior business counterpart to technical teams rather than relying on engineering teams to drive requirements definition.
• Strong stakeholder management and facilitation skills, with the ability to work with both business and technical stakeholders and challenge assumptions when necessary.
• Experience with data governance, data quality, business glossaries, metadata, or data ownership frameworks.
• Familiarity with ontology or semantic data modeling concepts is highly desirable.
• Experience with Reltio or another MDM platform is a strong advantage, but specific Reltio expertise is not required.
• Experience with Palantir Foundry or similar enterprise data platforms is a plus.
• Pharmaceutical, healthcare, or life sciences domain experience is highly desirable.
• Basic understanding of SQL and data querying concepts is beneficial, but hands-on development or data engineering experience is not required.
• Strong analytical and problem-solving skills, with a high level of ownership and the ability to independently structure ambiguous business problems.
• Ability to work effectively in a distributed international environment.
• English: Upper-Intermediate or higher.
   

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers