RecruityTalent

Data Engineer

• Design, build, and optimize ETL/ELT pipelines that transform customer and internal data into actionable datasets
• Partner with Markets and Product teams to develop reporting tools and dashboards that guide business strategy and serve customer needs
• Build and maintain data lakes and feature stores used by ML Engineering team to develop ML solutions for subrogation

Senior Data Engineer

Cloud Engineer

• Cloud Architecture & Databricks Engineer role
• Develop and manage AWS infrastructure
• Create and manage Databricks on AWS
• Collaborate with teams on AI-driven software development practices
• Automate infrastructure and networking tasks
• Build CI/CD pipelines for Databricks

Cloud Architecture, Databricks Engineer

Backend Engineer

• Collaborate closely with the customer to understand functional and non-functional software requirements for the system
• Analyze functional and non-functional requirements, prepare the design of the system according to these requirements, and monitor solutions to match them afterward
• Guide and assist the development team and provide them with architectural blueprints to follow
• Communicate and collaborate across teams to define optimal technical solutions
• Explore a range of technology and design possibilities and alternatives to improve system implementation

Software Architect, .NET – B2B or Standard Contract

Machine Learning Engineer

• Design and build our central MLOps Platform covering the complete ML lifecycle
• Architect robust CI/CD workflows and self-service capabilities
• Partner with Data Scientists, ML Engineers, and Infrastructure teams
• Establish and evangelize MLOps best practices across the organization
• Optimize infrastructure costs and enhance observability

Senior MLOps Engineer

• Design, develop, and maintain scalable data pipelines and data platforms
• Build and optimize ETL/ELT processes for large-scale data processing
• Work with Databricks to develop and manage data workflows and analytics solutions
• Implement data processing solutions using Apache Spark and modern data engineering practices
• Collaborate with data scientists, analysts, and business stakeholders to enable data-driven insights
• Ensure data quality, reliability, and performance of data pipelines
• Contribute to architecture decisions and data platform improvements
• Mentor junior engineers and promote best practices in data engineering

Lead Data Engineer, Snowflake

Project Manager

• Act as a bridge between the company and external service providers at project management level
• Manage service providers and coordinate closely with company’s internal business and sales units
• Define priorities and oversee store openings and closures within the rollout scope
• Track progress and conduct quality reviews of store decommissioning activities
• Drive process implementation and continuous optimization in close collaboration with service providers and internal stakeholders
• Prepare stakeholder analyses, as well as KPI and OPI reports on rollout progress and quality
• Take ownership of the rollout mailbox and ensure timely and professional communication
• Coordinate and manage hardware deployments with the service provider
• Document processes and outcomes, and proactively identify, document, and escalate risks and issues in a timely manner
• Provide support during hyper care phases and ensure effective troubleshooting after migration phases

R&D Project Manager, German

QA Engineer

• Designing, implementing, and maintaining automated UI tests using Playwright and TypeScript
• Developing and maintaining backend/API automated tests using .NET, C#, REST API and xUnit
• Performing exploratory, regression, and functional testing across multiple applications and services
• Creating and maintaining test cases, test scenarios, and testing documentation
• Validating integrations between distributed microservices
• Working closely with developers, DevOps, and product teams to ensure product quality across the SDLC
• Supporting testing activities in AWS-based environments
• Analyzing issues, reporting defects, and supporting troubleshooting activities
• Contributing to continuous improvement of QA processes, standards, and automation coverage.

Senior QA Automation/Manual

• Develop, maintain, and improve Ruby on Rails applications supporting business-critical processes and workflows
• Work primarily within monolithic application architectures while contributing to modernization and architectural improvements
• Implement backend features, integrations, and business logic using Ruby and Ruby on Rails
• Collaborate with frontend developers to support integrated user experiences and maintain legacy frontend components where required
• Participate in the implementation of Event-Driven Design and Domain-Driven Design (DDD) principles within evolving application architectures
• Write and maintain comprehensive unit and integration tests using RSpec and/or Minitest
• Work closely with Product Owners, QA engineers, and client stakeholders to refine and implement business requirements
• Manage deployments and support delivery processes across multiple environments, including legacy on-premises infrastructure and containerized platforms
• Contribute to CI/CD processes, automation, and operational improvements using modern DevOps practices and tooling
• Support troubleshooting, debugging, performance optimization, and production stability activities
• Ensure high code quality through code reviews, testing, refactoring, and continuous improvement initiatives.