Jobs at N-iX

Acts as a Data Steward for the M&S Cockpit, coordinating stakeholders, validating data, investigating quality issues, maintaining mappings and governance documentation, and driving discrepancies to resolution. Translates business requirements into validation rules and technical tasks while collaborating with data engineers, providers, reporting teams, and markets. Supports reliable, business-ready dataset delivery and recommends improvements to validation, automation, and data governance processes.

Owns the full lifecycle of scalable .NET backend features and microservices, including design, implementation, testing, deployment, production support, troubleshooting, and performance improvements. Collaborates with cross-functional technical teams, contributes to architecture and platform modernization, applies automated testing and observability, and mentors engineers. Requires strong expertise in modern .NET, Azure, databases, containers, messaging, APIs, serverless architectures, CI/CD, and distributed systems.

Coordinate data stewardship for the M&S Cockpit by gathering requirements, managing stakeholders, validating data, investigating quality issues, maintaining definitions and mappings, and driving discrepancies to resolution. The role bridges business and technical teams, supports governance and delivery readiness, and helps improve validation processes and data reliability across multiple sources and markets.

Coordinates data governance and validation for the M&S Cockpit, serving as a liaison among business stakeholders, data providers, engineers, and reporting teams. The role translates requirements into data definitions, mappings, and validation rules; investigates quality issues and discrepancies; coordinates corrective actions; maintains governance documentation; and supports reliable delivery of business-ready datasets. It also requires stakeholder communication, cross-functional coordination, and familiarity with data pipelines, ETL, SQL, databases, and reporting tools.

Acts as Data Steward for the M&S Cockpit, coordinating stakeholders, validating data, investigating quality issues, resolving discrepancies, and maintaining definitions, mappings, documentation, and governance standards. Translates business requirements into validation rules and technical tasks while coordinating Data Engineers, providers, reporting teams, and markets. Supports reliable, business-ready dataset delivery and recommends improvements to automation, performance, and maintainability.

Own data stewardship for the M&S Cockpit by coordinating stakeholders, validating data, investigating quality issues, maintaining definitions and mappings, and driving discrepancies to resolution. Translate business requirements into validation rules and technical tasks while collaborating with data engineers, providers, and reporting teams. Support governance, documentation, delivery readiness, and process improvements across multiple markets and data sources. The role is part-time, requiring 20 hours weekly during CET business hours.

Build scalable, production-grade data pipelines and DBT models for large curated AI training datasets. Translate customer requirements into reusable data models, optimize queries across datasets of up to one billion rows, perform visual QA, and automate curation workflows. Partner with business development, data science, content, and engineering teams, manage technical implementation timelines, conduct code reviews, and improve testing and statistical rigor.

Build scalable, production-grade data pipelines and dbt models supporting large AI training datasets. Translate customer requirements into reusable data models, optimize queries across massive datasets, perform visual QA, automate curation workflows, and collaborate with business development, data science, content, and engineering teams. The role also involves code reviews, technical project coordination, statistical testing, and improving data curation scalability.

Lead end-to-end cloud data platform architecture for clients using Snowflake or Databricks on Azure or AWS. Design lakehouse and warehouse solutions, guide migrations, establish modeling, governance, security, CI/CD and infrastructure standards, optimize cost and performance, and support BI, ML and GenAI foundations. Lead discovery workshops, architecture reviews and presales activities in Spanish and English while mentoring engineers and ensuring delivery quality.

Lead end-to-end cloud data architecture for client platforms using Snowflake, Databricks, Azure, and AWS. Design lakehouse and warehouse patterns, migrations, governance, security, pipelines, infrastructure, and cost optimization. Conduct discovery workshops, support presales, present architecture decisions in Spanish and English, mentor engineers, review technical work, and ensure delivery quality. The role also prepares data foundations for BI, analytics, machine learning, and GenAI initiatives.

Lead requirements discovery and analysis for corporate banking digital transformation initiatives. Translate stakeholder needs into business, functional, and non-functional requirements; model workflows; facilitate workshops; manage traceability and approval cycles; incorporate regulatory and compliance requirements; coordinate with product, architecture, project, and vendor teams; and support testing and validation of delivered solutions.

Develop and maintain backend product components in a .NET microservices environment. Responsibilities include designing reliable code, translating business logic, automating processes, conducting code reviews, writing unit tests, troubleshooting issues, and performing root-cause analysis. The engineer collaborates with cross-functional, multinational teams and integrates APIs, messaging systems, databases, containers, Kubernetes, and public cloud technologies.

Leads enterprise solution architecture across discovery, consulting, pre-sales, implementation, and strategic technology initiatives. Advises executive stakeholders, designs scalable cloud-native and distributed systems, governs architecture delivery, mentors architects and engineers, develops reusable consulting frameworks, and supports practice growth. Requires extensive software engineering and architecture leadership experience, expertise across major cloud platforms, and strong knowledge of microservices, APIs, DevOps, CI/CD, and infrastructure as code.

Performs manual and automated QA for backend and API functionality in a microservice environment. Responsibilities include requirements analysis, test design, REST/SOAP testing, Java-based automation, regression and integration testing, defect management, SQL validation, test data management, troubleshooting, root-cause analysis, and QA process improvement. Collaborates with cross-functional teams and presents test results to stakeholders.

Own marketing analytics from website visits through pipeline and revenue. Analyze channel, campaign, content, regional, and persona performance; maintain funnel reporting, forecasts, attribution models, dashboards, and data-quality processes. Present insights to executives and recommend budget and strategy changes. Partner with marketing, sales, finance, delivery, data engineering, and IT to align metrics. Automate reporting, enable self-service analytics, and use statistical modeling and AI tools in daily analytical work.

Develop and maintain high-performance Modern C++ components for a ROS2-based embedded vision and traffic management platform. Integrate sensors and distributed system interfaces, contribute to architecture, write unit and integration tests, optimize runtime performance, debug Linux applications, maintain containerized build environments, and provide technical guidance to junior developers.

Develop and maintain high-performance Modern C++ components for an embedded vision and traffic management platform using ROS2 and sensor fusion. Responsibilities include sensor and interface integration, distributed message-based applications, architecture, testing, performance optimization, Linux debugging, containerized development, code reviews, and mentoring junior developers.

Manage multi-cloud infrastructure, networking, Kubernetes clusters, GitOps deployments, CI/CD pipelines, infrastructure as code, observability, internal services, databases, authentication integrations, and security automation. The role provisions development environments, troubleshoots availability issues, improves developer workflows, and collaborates with engineering, QA, and product teams in a remote-friendly environment.

Provision and manage multi-cloud development infrastructure, networking, Kubernetes clusters, GitOps deployments, CI/CD pipelines, internal services, PostgreSQL databases, observability, authentication integrations, and infrastructure-as-code. Improve reliability, security, deployment speed, and operational automation while collaborating with engineering, QA, and product teams.

Drive account growth within an assigned portfolio by building trust-based client relationships, identifying up-sell/cross-sell opportunities, leading sales pursuits (RFI/RFP/pitches), managing contracts and renewals, maintaining CRM accuracy, and ensuring client satisfaction through CSAT management and issue resolution.