N-iX

We are looking for a Senior BI Engineer (Looker/LookML) to join our team!

Our client is a US-based company specializing in supporting the HR needs of the US public sector by automating and enhancing HR lifecycle management. With 20+ years of industry experience, they provide solutions for public sector organizations ranging from 100 to 60,000 employees. The project focuses on migrating and enhancing the client reporting infrastructure to the cloud.

Responsibilities:

• Enhance and optimize existing BI reports in Looker, covering solutions of varying complexity.
• Design, build, and maintain robust BI dashboards and reports in Looker based on business requirements.
• Work with existing LookML models, explores, and dashboards to deliver reporting enhancements and new analytical solutions.
• Collaborate closely with the client’s BI and engineering teams to understand existing data structures and ensure consistency across reporting solutions.
• Engage in regular communication with stakeholders to gather requirements, resolve data and reporting challenges, and ensure a clear understanding of business needs.
• Demonstrate a proactive position in identifying potential risks, proposing improvements, and taking initiative to drive tasks to completion.
• Ensure data quality and accuracy across all analytical outputs.
• Provide technical guidance and best practices on Looker and BI development.

Requirements:

• Proven hands-on experience with Looker and LookML, including development, enhancement, and optimization of existing reports and dashboards.
• Strong knowledge of BI concepts, data modeling, ETL, and data warehousing principles.
• Proficiency in SQL and experience working with large data sets.
• Hands-on experience with Git and version control workflows.
• Excellent communication skills and ability to work collaboratively in a cross-functional team environment.
• Proactive attitude and ownership over deliverables.
• English: Intermediate-strong or higher, with a proven ability to articulate professional solutions to a foreign client.

Nice to have:

• Experience migrating on-prem BI solutions to cloud environments.
• Exposure to the public sector or HR solutions is a plus.
• Experience working with Snowflake, with an understanding of its specific features and differences from other database and cloud data warehouse technologies.
• Familiarity with other cloud data warehouses and modern cloud data stacks, such as BigQuery, Redshift, or similar technologies.

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

We are looking for an experienced Senior Java Full Stack Engineer to join our development team.

Our customer – integrated Shipping Services has set itself apart as an independent carrier with a fresh, unique approach. His strategy as a global niche carrier offers distinctive advantages to customers worldwide. We have created a smart, efficient network that ensures stable, reliable services, and we have made it our mission to focus on the needs of our customers, which stand at the heart of all our decisions. The main idea of our product operates in select trades, where it has a competitive advantage and where it can provide superior service. We maintain a flexible partnership approach with other major carriers, and our new line structure is a much-needed alternative to customers concerned about the current alliance-dominated market.

Responsibilities:

• Hands-on full-stack development of innovative applications
• Owning the entire development cycle, including design, architecture, development, and DevOps
• Working in XP with Remote pairing
•  

Requirements:

• BS degree in Computer Science or equivalent combination of education and experience
• 5-6+ years of full-stack development
• 5-6+ years of experience in the following technologies: Java, Spring
• Experience with Functional Programming and Java Streams
• 2+ years of experience in front-end development with React
• Experience with developing a reactive UI (Reactive JS)
• 2+ years of experience in TDD/BDD development in the following frameworks: Junit, Jasmin, Mockito, Protractor/Selenium
• 2+ years of experience in micro-services-based architecture and tools (Spring Boot/Cloud)
• Experience in DevOps development and Jenkins
• Experience in development in Kotlin – an advantage
• Experience in designing, developing, and deploying cloud/hybrid-based solutions
• Experience in developing and deploying in container-based environments (Kubernetes, Cloud Foundry)
• Familiarity with the following design concepts: micro-services, service discovery, circuit breaker
• Self-starter with the ability to appropriately prioritize and plan complex work in a rapidly changing environment
• Versatility and the capability to switch easily between different tasks and technologies
• Experience in assessing a broad range of information solutions and products
• Strong critical thinker with problem-solving aptitude
• Good English - verbal and written

We are looking for a Lead DevOps / Observability Engineer to lead the migration of the client's observability stack from New Relic and Datadog to Grafana, using technologies such as Prometheus, Loki, and Tempo.

This is a hands-on role combining:
- DevOps & platform engineering - deploying and configuring the new observability stack using AWS, Kubernetes, and Terraform.
- Application instrumentation - modifying application code to add or adapt metrics, logs, and traces.
- Migration & collaboration - rebuilding existing dashboards and alerts in Grafana and working with multiple engineering teams to ensure full monitoring coverage.

We are looking for someone who is comfortable working across both infrastructure and application code and can independently drive a cross-team observability migration.

Responsibilities:

• Lead the migration of monitoring, alerting, and dashboards from New Relic and Datadog to Grafana.
• Design and implement the target observability architecture (metrics, logs, traces) and the infrastructure-as-code (Terraform) needed to support it.
• Audit existing New Relic and Datadog dashboards, alerts, and integrations to build a complete migration inventory and ensure feature/coverage parity in Grafana.
• Make application-level code changes across services to add, adjust, or replace instrumentation (metrics exporters, logging, tracing libraries) as needed for the new stack.
• Work with AWS infrastructure, including EKS, Kubernetes, and Docker, to deploy and operate the new observability tooling.
• Configure AWS networking and access as needed to support the observability platform (VPCs, security groups, IAM).
• Contribute to CI/CD pipelines and deployment automation using GitHub Actions to support the rollout.
• Collaborate with development, platform, and infrastructure teams to coordinate the cutover from New Relic/Datadog to Grafana with minimal disruption.
• Identify and remediate any security issues (secrets, keys, dependencies) encountered in the course of this work.
• Document the new observability architecture, migration procedures, and dashboard/alert mappings.
• Use AI-assisted development tools, including Codex, to improve engineering productivity and delivery speed.

Requirements: 

• Strong hands-on experience with Grafana, including dashboard design, alerting, and data source configuration (e.g. Prometheus, Loki, Tempo, or similar).
• Practical experience migrating away from commercial observability platforms such as New Relic and/or Datadog.
• Full-stack development experience — comfortable reading, modifying, and instrumenting application code across front-end and back-end services, not just infrastructure.
• Solid experience with AWS in production environments, including EKS and Kubernetes.
• Practical experience with Docker and containerized workloads.
• Strong Terraform and infrastructure-as-code skills.
• Experience with GitHub Actions or comparable CI/CD tools.
• Ability to work across multiple teams, services, and codebases to coordinate a cross-cutting migration.
• Fluency with Codex or comparable AI-assisted coding tools.

Nica to have:

• Prior experience running a similar New Relic/Datadog-to-Grafana (or equivalent) observability migration end to end.
• Grafana-specific certifications or demonstrated community contributions (plugins, dashboards, etc.).
• Experience with the broader Prometheus/Loki/Tempo (LGTM) ecosystem.
• AWS certification, such as AWS Solutions Architect Associate/Professional.
• Experience with RDS and other AWS data services.
• Prior contract or consulting experience with clearly defined deliverables.
• At least an Upper-Intermediate level of 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 looking for an experienced Senior Scrum Master / Agile Master to support and coordinate four development teams within ControlExpert.
 

The project is currently moving from an intensive initial delivery phase toward a more structured and sustainable setup. The key objective is to improve team collaboration, delivery flow, transparency, ownership, and cross-team coordination, while helping the teams establish effective and mature ways of working.

The role requires someone who can operate effectively in a complex environment, build trust across teams and management, and bring structure without introducing unnecessary process overhead.
 

Responsibilities:

• Coordinate and support four development teams
• Take ownership of delivery flow, focusing on cycle time, flow efficiency, dependencies, and delivered value rather than velocity
• Identify and resolve cross-team dependencies, handoffs, blockers, and unclear ownership
• Support the setup and development of new teams, including roles, ceremonies, ways of working, and tooling
• Coach individuals transitioning into new roles and help teams improve their collaboration and maturity
• Facilitate conflict resolution and support psychological safety at team and cross-team level
• Support teams through organizational changes, restructuring, and maturity shifts
• Partner with management on prioritization, transparency, and evidence-based escalation
• Identify missing decision ownership and help establish clear responsibilities
• Provide management with clear, data-backed insights into delivery challenges and improvement opportunities
• Escalate organizational or incentive-related blockers to the appropriate management level when required
   

Requirements:

• 5+ years of experience as a Scrum Master, Agile Master, Agile Coach, or similar role
• Proven experience supporting multiple development teams simultaneously
• Strong understanding of Agile principles, team dynamics, and software delivery processes
• Experience with flow metrics and data-driven delivery improvement
• Strong cross-team coordination and dependency management skills
• Experience setting up or restructuring teams and establishing effective ways of working
• Strong coaching and facilitation skills
• Experience supporting organizational change and team maturity development
• Ability to work effectively with both engineering teams and management
• Strong conflict-resolution and stakeholder-management skills
• Ability to operate effectively in a complex and sometimes high-pressure environment
• Excellent English communication skills
   

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

We are looking for a Middle Data Analytics Engineer to build reusable, production-grade pipelines that power our data deals, which are large-scale curated training sets for leading AI labs. You’ll ship engineering solutions with immediate revenue impact and collaborate with some of the world’s largest AI companies. 

 

Responsibilities:

• Work with the business development (BD) team, content experts, data science, and engineering teams to understand customer requirements and available metadata.
• Map customer requirements to our existing metadata and apply data modelling practices to maximize reusability and scalability
• Build DBT models that are capable of querying up to 1B rows efficiently
• Refine DBT models based on visual QA to ensure accurate datasets at scale.
• Propose and implement automated solutions that streamline the curation process and increase scalability.
• Serve as the engineering point of contact, partnering with Business Development to ensure accurate timelines, clear requirements, and manage all technical implementation pieces of the workflow
• Assist the expansion of the data curation workflow to accommodate data science approaches within DBT, streamline the review process to ensure a more rigorous statistical approach with more comprehensive testing

Requirements:

• Strong SQL background with an understanding of query optimization and Snowflake experience.
• DBT experience preferred. 
• Great communication skills.
• 3-5 years of experience in analytics/data engineering.
• Perform code reviews and collaborate with the team to create an optimized ecosystem.

Nice to have:

• BigQuery.
• Python.
• ClickHouse.
• Experience delivering projects in an operational environment. 
• Interest in data science to aid the understanding of customer use cases.
• Interest in photography, music and video creation.

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

We are looking for a Middle Data Analytics Engineer to build reusable, production-grade pipelines that power our data deals, which are large-scale curated training sets for leading AI labs. You’ll ship engineering solutions with immediate revenue impact and collaborate with some of the world’s largest AI companies. 

 

Responsibilities:

• Work with the business development (BD) team, content experts, data science, and engineering teams to understand customer requirements and available metadata.
• Map customer requirements to our existing metadata and apply data modelling practices to maximize reusability and scalability
• Build DBT models that are capable of querying up to 1B rows efficiently
• Refine DBT models based on visual QA to ensure accurate datasets at scale.
• Propose and implement automated solutions that streamline the curation process and increase scalability.
• Serve as the engineering point of contact, partnering with Business Development to ensure accurate timelines, clear requirements, and manage all technical implementation pieces of the workflow
• Assist the expansion of the data curation workflow to accommodate data science approaches within DBT, streamline the review process to ensure a more rigorous statistical approach with more comprehensive testing

Requirements:

• Strong SQL background with an understanding of query optimization and Snowflake experience.
• DBT experience preferred. 
• Great communication skills.
• 3-5 years of experience in analytics/data engineering.
• Perform code reviews and collaborate with the team to create an optimized ecosystem.

Nice to have:

• BigQuery.
• Python.
• ClickHouse.
• Experience delivering projects in an operational environment. 
• Interest in data science to aid the understanding of customer use cases.
• Interest in photography, music and video creation.