Luxoft

• Please note that this position is open only to candidates currently located in Ukraine
• Project Description:
  Applying to the position, you may join one of the most respected and fastest growing institutional investors in the world. Our client is a professional investment management organization that globally invests the funds to ensure long-term sustainability. The company invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments, and currently has offices in Toronto, London, Hong Kong, New York, São Paulo, Luxembourg and Mumbai.
  Client attracts and selects high-caliber individuals from top-tier institutions around the globe. Join our team and look forward to:
  • Diverse and inspiring colleagues and approachable leaders
  • Stimulating work in a fast-paced, intellectually challenging environment
  • Accelerated exposure and responsibility
  • Global career development opportunities
  • Being motivated every day by important social purpose and unshakable principles
  • A deeply rooted culture of Integrity, Partnership and High Performance
  If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here's an opportunity.
• Responsibilities:
  • Manage timelines/deliverables within the team towards the successful delivery of projects.
  • Design software solutions by interacting with portfolio managers, traders, operations staff and peers to understand requirements.
  • Develop solutions that are in line with client's technology biases, deliver efficiency and scalability, and enable new trading activities.
  • Provide knowledge transfer to team members and support staff through application demos, walkthroughs, and documentation.
• Mandatory Skills Description:
  • Experience in Python in an enterprise environment, covering the whole development life cycle
  Airflow, 
  SQL, 
  Terraform, 
  AWS (S3, Athena, EKS, EC2, Redshift, CloudWatch, Step Functions)
  React
  Node.js
  • Proficiency in CI/CD pipelines
  • Unit and integration testing
• Nice-to-Have Skills Description:
  • Capital market experience
  • Experience with BI tools, preferably QuickSight.
  • Experience with terraform for Infrastructure as code and cloud provisioning.
  • Experience with Jupyter notebooks for data analysis and reporting.
• Languages:
  • English: B2

• Project Description:

  As a Backend Developer for this project, you will have the opportunity to contribute to industry leading software for our global clients. You will work closely with cross-functional teams and regional experts to design, implement, and support solutions. This is your chance to work on a stable, long-term project with a global client, focusing on digital transformation and change management.
  
  We are looking for a Mid-Level Backend Developer with solid expertise in Node.js, RESTful API design, and cloud-native development. The ideal candidate will have hands-on experience building scalable, secure, and high-performance backend services deployed on AWS and Azure using Kubernetes. You will work closely with cross-functional teams to design, build, and maintain backend systems that power our applications.
  
  Why Join Us?
  - Exciting Opportunities: Work in squads under our customer's direction, utilizing Agile methodologies and Scrum.
  - Innovative Application: Contribute to an application that guides and documents the sales order process, aids in market analysis, and ensures competitive pricing.
  - Workflow Governance: Be part of a team that integrates digital and human approvals, ensuring seamless integration with a broader ecosystem of applications.
  - Global Exposure: Collaborate with reputed global clients, delivering top-notch solutions.
  - Career Growth: Join high-caliber project teams with front-end, back-end, and database developers, offering ample opportunities to learn, grow, and advance your career.
  
  If you have strong technical skills, effective communication abilities, and a commitment to quality, we want you on our team!
  
  Ready to make an impact? Apply now and be part of our journey to success!

• Responsibilities:

  • Design, develop, and maintain backend services and RESTful APIs using Node.js
  • Build and deploy containerized applications on Kubernetes across AWS and Azure environments
  • Collaborate with frontend, DevOps, and platform teams to define and deliver features
  • Implement and maintain CI/CD pipelines for automated build, test, and deployment
  • Ensure API performance, reliability, and security through proper design and monitoring
  • Manage and optimize cloud resources across AWS and Azure
  • Write and maintain unit, integration, and API tests to ensure code quality
  • Participate in code reviews, technical discussions, and architecture decisions
  • Troubleshoot production issues and contribute to incident resolution
  • Stay current with emerging technologies in backend development, cloud services, and container orchestration

• Mandatory Skills Description:

  Years of Experience:
  • 4-6 years in backend application development, with at least 1-2 years working with cloud services and container orchestration.
  
  Backend Development
  • Strong proficiency in Node.js (Express, Fastify, or NestJS)
  • Deep understanding of RESTful API design, versioning, and best practices
  • Experience with API authentication and authorization (OAuth2, JWT, API keys)
  • Proficiency in JavaScript and TypeScript
  • Understanding of event-driven architecture and message queues (e.g., RabbitMQ, Kafka, SQS)
  
  Cloud Services
  • Hands-on experience with AWS (EC2, S3, Lambda, SQS, SNS, IAM, CloudWatch)
  • Working knowledge of Azure (App Service, Azure Functions, Azure DevOps, AKS)
  • Understanding of cloud networking, security groups, IAM policies, and secret management
  
  Container Orchestration
  • Proficiency in Docker — building, optimizing, and managing container images
  • Hands-on experience with Kubernetes (K8s) — deployments, services, config maps, secrets, ingress, helm charts
  • Experience with managed Kubernetes services (EKS, AKS)
  
  DevOps
  • Experience with CI/CD pipelines using GitLab CI, GitHub Actions, Jenkins, or Azure DevOps
  • Familiarity with Infrastructure as Code (IaC) tools such as Terraform or Helm

• Nice-to-Have Skills Description:

  Database Management
  • Experience with SQL databases (PostgreSQL, MySQL) and NoSQL databases (MongoDB, DynamoDB, Redis)
  • Understanding of database optimization, indexing, and query performance tuning
  
  Observability and Monitoring
  • Familiarity with logging and monitoring tools (CloudWatch, Prometheus, Grafana, ELK stack)
  • Experience with distributed tracing (Jaeger, OpenTelemetry)
  
  Security
  • Understanding of API security best practices (rate limiting, input validation, CORS, HTTPS enforcement)
  • Familiarity with container security scanning and vulnerability management
  
  Testing
  • Experience with automated testing frameworks (Jest, Mocha, Supertest)
  • Understanding of integration and contract testing for APIs
  
  Soft Skills
  • Strong problem-solving abilities and attention to detail
  • Good communication and collaboration skills
  • Comfortable working in an agile development environment

• Languages:
  • English: C2 Proficient

Applying to the position, you may join one of the most respected and fastest growing institutional investors in the world. Our client is a professional investment management organization that globally invests the funds to ensure long-term sustainability. The company invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments, and currently has offices in Toronto, London, Hong Kong, New York, São Paulo, Luxembourg and Mumbai.
Client attracts and selects high-caliber individuals from top-tier institutions around the globe. Join our team and look forward to:
• Diverse and inspiring colleagues and approachable leaders
• Stimulating work in a fast-paced, intellectually challenging environment
• Accelerated exposure and responsibility
• Global career development opportunities
• Being motivated every day by important social purpose and unshakable principles
• A deeply rooted culture of Integrity, Partnership and High Performance
If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here's an opportunity.

• Responsibilities:

  • Manage timelines/deliverables within the team towards the successful delivery of projects.
  • Design software solutions by interacting with portfolio managers, traders, operations staff and peers to understand requirements.
  • Develop solutions that are in line with client's technology biases, deliver efficiency and scalability, and enable new trading activities.
  • Provide knowledge transfer to team members and support staff through application demos, walkthroughs, and documentation.

• Mandatory Skills Description:

  • Experience in Python in an enterprise environment, covering the whole development life cycle
  • Experience with web development using either Angular, React or Dash Plotly.
  • Agile/scrum/Jira/confluence/Git
  • Experience with Cloud technologies, preferably AWS
  • Proficiency in CI/CD pipelines
  • Unit and integration testing

• Nice-to-Have Skills Description:

  • Capital market experience
  • Experience with BI tools, preferably QuickSight.
  • Experience with terraform for Infrastructure as code and cloud provisioning.
  • Experience with Jupyter notebooks for data analysis and reporting.

• We are looking for Regular Data Analyst (Internal Luxoft Project).
  The job purpose is to co-create a trusted data environment for the executive management and internal clients required for business decision-making by applying various data analysis, visualization tools, and techniques.
  The project focuses on supporting internal business operations through analytical reporting, executive presentations, and cross-functional collaboration with multiple business lines.
  The Regular Data Analyst will be responsible for preparing MS PowerPoint presentations for leadership and stakeholders, delivering regular and ad-hoc reporting tasks, analyzing business performance metrics, and partnering with different business units to support strategic decision-making.
  The role also includes data validation, dashboard maintenance and ensuring timely delivery of analytical insights.
  You will work alongside BI and Data Analysts, DWH experts, contributing to the development and maintenance of the corporate reporting eco-system.
   

• Responsibilities:

  • Provide business performance reporting, manipulating, and joining different data sets in the most appropriate format for the stakeholders
  • Perform ad-hoc reporting, extracting data from corporate data sources
  • Provide regular reporting required for Executive meetings
  • Take part in cross-domain deep-dive projects, delivering and highlighting insights, facts, and trends for executive decisions
  • Take part in internal Reporting & Analytics initiatives aimed at further development, and improvement of a data-driven culture
  • Communicate with internal stakeholders: BI analysts, DWH, Business & Back-office streams (Sales, Billing & Contracting team), Executive Management
   

• Mandatory Skills Description:

  MS PowerPoint: Advanced user of Microsoft PowerPoint for creating executive-level business presentations, analytical storytelling, KPI summaries, and stakeholder-ready reporting materials. Skilled in data visualization, presentation structuring, animation setup, template customization, and translating complex analytical insights into business-friendly narratives.
  
  MS Excel: Strong expertise in optimizing reporting processes, handling large datasets, and developing automated reporting solutions for business stakeholders.
  
  Data Analysis: Strong analytical expertise in collecting, transforming, validating, and interpreting business data to support strategic and operational decision-making.

• Project Description:

  A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients, which is built on big data architecture, highly scalable, and cloud-ready. The platform enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions (data flame). The project tech stack: Java, Scala, Spring, SQL, Kafka, Hadoop.
  
  We are looking for a strong Senior Java Developer capable of being able to work within the team, being a mentor for team members, communicating with stakeholders, and being accountable for the outcomes of activities that are assigned.
  
  The role of the involves working with strong development teams (2 Senior Java Developers), the opportunity to work with big data, improving knowledge in this domain, and utilizing the resources of an international bank.

• Responsibilities:

  • Design and build frameworks for ingesting/modeling the complex Risk data
  • Develop Low latency caching to service Front office risk systems
  • Setup monitoring and management for services
  • Provide SME support for development of automated QA scripts

• Mandatory Skills Description:

  • Strong knowledge of Big Data technologies Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) and Apache Spark
  • At least 5 years of experience in software development, including professional backend software development experience;
  • Strong Knowledge of Java programming languages
  • Should be familiar with algorithms and design patterns
  • Familiarity with Linux environment, including scripting skills
  • Designing and building APIs (Java);
  • Java Server-side or Back-end development;
  • Core Java;
  • Java collections and multithreading;
  • Java Memory Management;
  • Database and SQL (writing stored procedures, designing table schemas).
  • Understanding of distributed systems.
  • Understanding of CI/CD workflow.
  
  • Ability to multi-task and work under pressure.
  • Ability to pick up new concepts and apply the knowledge.
  • Demonstrated problem-solving skills.
  • Enthusiastic and proactive approach with a willingness to learn.
  • The candidate is expected to be dynamic and flexible with a high energy level as this is a demanding and rapidly changing environment

• Nice-to-Have Skills Description:

  • Experience In-memory databases and caching
  • Job Orchestration tools like Autosys or Airflow
  • Apache Spark
  • Financial background (where possible)

• Languages:
  • English: C1 Advanced

• Project Description:

  Owns the technical direction, quality, and delivery enablement of the data platform within the team. Ensures scalable architecture, reliable releases, and strong engineering practices while enabling the team to deliver efficiently within defined engineering and release standards.

• Responsibilities:

  Architecture & Technical Ownership
  • Owns end-to-end technical design across Snowflake, dbt, ADF, and Azure components
  • Acts as the final technical decision authority within the team
  • Ensures alignment with enterprise architecture and data governance standards
  • Maintains architecture documentation and diagrams
  ________________________________________
  Engineering Excellence
  • Defines and enforces coding standards and best practices
  • Reviews critical PRs and ensures maintainability and scalability
  • Drives performance optimization and cost efficiency
  • Continuously improves development efficiency by reducing technical complexity and removing bottlenecks
  ________________________________________
  CI/CD & Release Ownership
  • Owns and improves CI/CD pipelines and deployment processes
  • Defines and enforces the release process, ensuring it is standardized and consistently followed
  • Establishes release criteria based on Definition of Done, testing, and required approvals
  • Ensures all changes meet release criteria before deployment to production
  • Oversees and coordinates production releases, including validation of readiness and risk assessment
  • Has authority to block releases that do not meet defined quality and governance standards
  • Ensures pipelines enforce quality gates (tests, validations, approvals where required)
  • Continuously improves release safety and reduces production incidents
  ________________________________________
  Quality & Definition of Done
  • Ensures adherence to Definition of Done (including testing and documentation)
  • Works with QA and team to ensure test coverage aligns with acceptance criteria
  ________________________________________
  Team Enablement & Mentoring
  • Mentors engineers and supports technical growth
  • Leads knowledge sharing and supports complex problem-solving
  ________________________________________
  Planning & Delivery Support
  • Contributes to sprint planning with technical estimates, risks, and dependencies
  • Owns identification and prioritization of technical debt in collaboration with the Product Owner
  ________________________________________
  Production Ownership
  • Leads incident analysis and root cause resolution
  • Ensures monitoring, alerting, and data quality validation mechanisms are in place across pipelines and in production
  • Maintains runbooks for operational readiness
  ________________________________________
  Ways of Working
  • Collaborates closely with Product Owner and Scrum Master to align technical delivery with business priorities; supports team continuity and helps facilitate meetings when the Scrum Master is absent
  • Proactively works with upstream data source teams and other squads to resolve cross-team dependencies, data issues, and production bugs
  • Drives technical alignment across teams/squads where shared data models, pipelines, or integrations are involved
  • Acts as the primary technical point of contact for external teams and stakeholders

• Mandatory Skills Description:

  7+ experience in Data Engineering and development of DWH solutions
  Hands-on experience with Snowflake, dbt, Azure Data Factory
  Experience with Azure Cloud Solutions, Azure DevOps
  Practical experience and understanding of CI/CD processes
  Experience of technical leadership in Agile SDLC

• Nice-to-Have Skills Description:

  Experience with AWS and/or GCP cloud solutions
  Certifications related to DWH

• Languages:
  • English: C1 Advanced

• We are looking for Regular Data Analyst (Internal Luxoft Project).
  The job purpose is to co-create a trusted data environment for the executive management and internal clients required for business decision-making by applying various data analysis, visualization tools, and techniques.
  The project focuses on supporting internal business operations through analytical reporting, executive presentations, and cross-functional collaboration with multiple business lines.

  
  The Regular Data Analyst will be responsible for preparing MS PowerPoint presentations for leadership and stakeholders, delivering regular and ad-hoc reporting tasks, analyzing business performance metrics, and partnering with different business units to support strategic decision-making.

  
  The role also includes data validation, dashboard maintenance and ensuring timely delivery of analytical insights.
  You will work alongside BI and Data Analysts, DWH experts, contributing to the development and maintenance of the corporate reporting eco-system.

   

• Responsibilities:

  • Provide business performance reporting, manipulating, and joining different data sets in the most appropriate format for the stakeholders
  • Perform ad-hoc reporting, extracting data from corporate data sources
  • Provide regular reporting required for Executive meetings
  • Take part in cross-domain deep-dive projects, delivering and highlighting insights, facts, and trends for executive decisions
  • Take part in internal Reporting & Analytics initiatives aimed at further development, and improvement of a data-driven culture
  • Communicate with internal stakeholders: BI analysts, DWH, Business & Back-office streams (Sales, Billing & Contracting team), Executive Management

   

• Mandatory Skills Description:

  MS PowerPoint: Advanced user of Microsoft PowerPoint for creating executive-level business presentations, analytical storytelling, KPI summaries, and stakeholder-ready reporting materials. Skilled in data visualization, presentation structuring, animation setup, template customization, and translating complex analytical insights into business-friendly narratives.
  
  MS Excel: Strong expertise in optimizing reporting processes, handling large datasets, and developing automated reporting solutions for business stakeholders.
  
  Data Analysis: Strong analytical expertise in collecting, transforming, validating, and interpreting business data to support strategic and operational decision-making.

   

• Nice-to-Have Skills Description:

  SQL: basic knowledge of SQL for data extraction, transformation, validation, and analysis across large relational databases.
  Tableau & PowerBI: user experience

   

• Languages:
  • English: B2 Upper Intermediate

Project Description:

We are looking for Regular Data Analyst (Internal Luxoft Project).
The job purpose is to co-create a trusted data environment for the executive management and internal clients required for business decision-making by applying various data analysis, visualization tools, and techniques.
The project focuses on supporting internal business operations through analytical reporting, executive presentations, and cross-functional collaboration with multiple business lines.
The Regular Data Analyst will be responsible for preparing MS PowerPoint presentations for leadership and stakeholders, delivering regular and ad-hoc reporting tasks, analyzing business performance metrics, and partnering with different business units to support strategic decision-making.
The role also includes data validation, dashboard maintenance and ensuring timely delivery of analytical insights.
You will work alongside BI and Data Analysts, DWH experts, contributing to the development and maintenance of the corporate reporting eco-system.

Responsibilities:

• Provide business performance reporting, manipulating, and joining different data sets in the most appropriate format for the stakeholders
• Perform ad-hoc reporting, extracting data from corporate data sources
• Provide regular reporting required for Executive meetings
• Take part in cross-domain deep-dive projects, delivering and highlighting insights, facts, and trends for executive decisions
• Take part in internal Reporting & Analytics initiatives aimed at further development, and improvement of a data-driven culture
• Communicate with internal stakeholders: BI analysts, DWH, Business & Back-office streams (Sales, Billing & Contracting team), Executive Management

Mandatory Skills:

Data Analysis

Microsoft Excel

Microsoft PowerPoint

Mandatory Skills Description:

MS PowerPoint: Advanced user of Microsoft PowerPoint for creating executive-level business presentations, analytical storytelling, KPI summaries, and stakeholder-ready reporting materials. Skilled in data visualization, presentation structuring, animation setup, template customization, and translating complex analytical insights into business-friendly narratives.

MS Excel: Strong expertise in optimizing reporting processes, handling large datasets, and developing automated reporting solutions for business stakeholders.

Data Analysis: Strong analytical expertise in collecting, transforming, validating, and interpreting business data to support strategic and operational decision-making.

Nice-to-Have Skills Description:

SQL: basic knowledge of SQL for data extraction, transformation, validation, and analysis across large relational databases.
Tableau & PowerBI: user experience

Languages:

English: B2 Upper Intermediate

We are looking for Regular Data Analyst (Internal Luxoft Project).
The job purpose is to co-create a trusted data environment for the executive management and internal clients required for business decision-making by applying various data analysis, visualization tools, and techniques.
The project focuses on supporting internal business operations through analytical reporting, executive presentations, and cross-functional collaboration with multiple business lines.
The Regular Data Analyst will be responsible for preparing MS PowerPoint presentations for leadership and stakeholders, delivering regular and ad-hoc reporting tasks, analyzing business performance metrics, and partnering with different business units to support strategic decision-making.
The role also includes data validation, dashboard maintenance and ensuring timely delivery of analytical insights.
You will work alongside BI and Data Analysts, DWH experts, contributing to the development and maintenance of the corporate reporting eco-system.

Responsibilities:

• Provide business performance reporting, manipulating, and joining different data sets in the most appropriate format for the stakeholders
• Perform ad-hoc reporting, extracting data from corporate data sources
• Provide regular reporting required for Executive meetings
• Take part in cross-domain deep-dive projects, delivering and highlighting insights, facts, and trends for executive decisions
• Take part in internal Reporting & Analytics initiatives aimed at further development, and improvement of a data-driven culture
• Communicate with internal stakeholders: BI analysts, DWH, Business & Back-office streams (Sales, Billing & Contracting team), Executive Management

Mandatory Skills:

MS PowerPoint: Advanced user of Microsoft PowerPoint for creating executive-level business presentations, analytical storytelling, KPI summaries, and stakeholder-ready reporting materials. Skilled in data visualization, presentation structuring, animation setup, template customization, and translating complex analytical insights into business-friendly narratives.

MS Excel: Strong expertise in optimizing reporting processes, handling large datasets, and developing automated reporting solutions for business stakeholders.

Data Analysis: Strong analytical expertise in collecting, transforming, validating, and interpreting business data to support strategic and operational decision-making.

Nice-to-Have Skills:

SQL: basic knowledge of SQL for data extraction, transformation, validation, and analysis across large relational databases.
Tableau & PowerBI: user experience

We are looking for Regular Data Analyst (Internal Luxoft Project).
The job purpose is to co-create a trusted data environment for the executive management and internal clients required for business decision-making by applying various data analysis, visualization tools, and techniques.
The project focuses on supporting internal business operations through analytical reporting, executive presentations, and cross-functional collaboration with multiple business lines.
The Regular Data Analyst will be responsible for preparing MS PowerPoint presentations for leadership and stakeholders, delivering regular and ad-hoc reporting tasks, analyzing business performance metrics, and partnering with different business units to support strategic decision-making.
The role also includes data validation, dashboard maintenance and ensuring timely delivery of analytical insights.
You will work alongside BI and Data Analysts, DWH experts, contributing to the development and maintenance of the corporate reporting eco-system.

• Responsibilities:

  • Provide business performance reporting, manipulating, and joining different data sets in the most appropriate format for the stakeholders
  • Perform ad-hoc reporting, extracting data from corporate data sources
  • Provide regular reporting required for Executive meetings
  • Take part in cross-domain deep-dive projects, delivering and highlighting insights, facts, and trends for executive decisions
  • Take part in internal Reporting & Analytics initiatives aimed at further development, and improvement of a data-driven culture
  • Communicate with internal stakeholders: BI analysts, DWH, Business & Back-office streams (Sales, Billing & Contracting team), Executive Management

• Mandatory Skills Description:

  MS PowerPoint: Advanced user of Microsoft PowerPoint for creating executive-level business presentations, analytical storytelling, KPI summaries, and stakeholder-ready reporting materials. Skilled in data visualization, presentation structuring, animation setup, template customization, and translating complex analytical insights into business-friendly narratives.
  
  MS Excel: Strong expertise in optimizing reporting processes, handling large datasets, and developing automated reporting solutions for business stakeholders.
  
  Data Analysis: Strong analytical expertise in collecting, transforming, validating, and interpreting business data to support strategic and operational decision-making.

• Nice-to-Have Skills Description:

  SQL: basic knowledge of SQL for data extraction, transformation, validation, and analysis across large relational databases.
  Tableau & PowerBI: user experience

Owns the technical direction, quality, and delivery enablement of the data platform within the team. Ensures scalable architecture, reliable releases, and strong engineering practices while enabling the team to deliver efficiently within defined engineering and release standards.

• Responsibilities:

  Architecture & Technical Ownership
  • Owns end-to-end technical design across Snowflake, dbt, ADF, and Azure components
  • Acts as the final technical decision authority within the team
  • Ensures alignment with enterprise architecture and data governance standards
  • Maintains architecture documentation and diagrams
  ________________________________________
  Engineering Excellence
  • Defines and enforces coding standards and best practices
  • Reviews critical PRs and ensures maintainability and scalability
  • Drives performance optimization and cost efficiency
  • Continuously improves development efficiency by reducing technical complexity and removing bottlenecks
  ________________________________________
  CI/CD & Release Ownership
  • Owns and improves CI/CD pipelines and deployment processes
  • Defines and enforces the release process, ensuring it is standardized and consistently followed
  • Establishes release criteria based on Definition of Done, testing, and required approvals
  • Ensures all changes meet release criteria before deployment to production
  • Oversees and coordinates production releases, including validation of readiness and risk assessment
  • Has authority to block releases that do not meet defined quality and governance standards
  • Ensures pipelines enforce quality gates (tests, validations, approvals where required)
  • Continuously improves release safety and reduces production incidents
  ________________________________________
  Quality & Definition of Done
  • Ensures adherence to Definition of Done (including testing and documentation)
  • Works with QA and team to ensure test coverage aligns with acceptance criteria
  ________________________________________
  Team Enablement & Mentoring
  • Mentors engineers and supports technical growth
  • Leads knowledge sharing and supports complex problem-solving
  ________________________________________
  Planning & Delivery Support
  • Contributes to sprint planning with technical estimates, risks, and dependencies
  • Owns identification and prioritization of technical debt in collaboration with the Product Owner
  ________________________________________
  Production Ownership
  • Leads incident analysis and root cause resolution
  • Ensures monitoring, alerting, and data quality validation mechanisms are in place across pipelines and in production
  • Maintains runbooks for operational readiness
  ________________________________________
  Ways of Working
  • Collaborates closely with Product Owner and Scrum Master to align technical delivery with business priorities; supports team continuity and helps facilitate meetings when the Scrum Master is absent
  • Proactively works with upstream data source teams and other squads to resolve cross-team dependencies, data issues, and production bugs
  • Drives technical alignment across teams/squads where shared data models, pipelines, or integrations are involved
  • Acts as the primary technical point of contact for external teams and stakeholders

• Mandatory Skills Description:

  7+ experience in Data Engineering and development of DWH solutions
  Hands-on experience with Snowflake, dbt, Azure Data Factory
  Experience with Azure Cloud Solutions, Azure DevOps
  Practical experience and understanding of CI/CD processes
  Experience of technical leadership in Agile SDLC

• Owns the technical direction, quality, and delivery enablement of the data platform within the team. Ensures scalable architecture, reliable releases, and strong engineering practices while enabling the team to deliver efficiently within defined engineering and release standards.
   

• Responsibilities:

  Architecture & Technical Ownership
  • Owns end-to-end technical design across Snowflake, dbt, ADF, and Azure components
  • Acts as the final technical decision authority within the team
  • Ensures alignment with enterprise architecture and data governance standards
  • Maintains architecture documentation and diagrams
  ________________________________________
  Engineering Excellence
  • Defines and enforces coding standards and best practices
  • Reviews critical PRs and ensures maintainability and scalability
  • Drives performance optimization and cost efficiency
  • Continuously improves development efficiency by reducing technical complexity and removing bottlenecks
  ________________________________________
  CI/CD & Release Ownership
  • Owns and improves CI/CD pipelines and deployment processes
  • Defines and enforces the release process, ensuring it is standardized and consistently followed
  • Establishes release criteria based on Definition of Done, testing, and required approvals
  • Ensures all changes meet release criteria before deployment to production
  • Oversees and coordinates production releases, including validation of readiness and risk assessment
  • Has authority to block releases that do not meet defined quality and governance standards
  • Ensures pipelines enforce quality gates (tests, validations, approvals where required)
  • Continuously improves release safety and reduces production incidents
  ________________________________________
  Quality & Definition of Done
  • Ensures adherence to Definition of Done (including testing and documentation)
  • Works with QA and team to ensure test coverage aligns with acceptance criteria
  ________________________________________
  Team Enablement & Mentoring
  • Mentors engineers and supports technical growth
  • Leads knowledge sharing and supports complex problem-solving
  ________________________________________
  Planning & Delivery Support
  • Contributes to sprint planning with technical estimates, risks, and dependencies
  • Owns identification and prioritization of technical debt in collaboration with the Product Owner
  ________________________________________
  Production Ownership
  • Leads incident analysis and root cause resolution
  • Ensures monitoring, alerting, and data quality validation mechanisms are in place across pipelines and in production
  • Maintains runbooks for operational readiness
  ________________________________________
  Ways of Working
  • Collaborates closely with Product Owner and Scrum Master to align technical delivery with business priorities; supports team continuity and helps facilitate meetings when the Scrum Master is absent
  • Proactively works with upstream data source teams and other squads to resolve cross-team dependencies, data issues, and production bugs
  • Drives technical alignment across teams/squads where shared data models, pipelines, or integrations are involved
  • Acts as the primary technical point of contact for external teams and stakeholders

   

• Mandatory Skills Description:

  7+ experience in Data Engineering and development of DWH solutions
  Hands-on experience with Snowflake, dbt, Azure Data Factory
  Experience with Azure Cloud Solutions, Azure DevOps
  Practical experience and understanding of CI/CD processes
  Experience of technical leadership in Agile SDLC

   

• Nice-to-Have Skills Description:

  Experience with AWS and/or GCP cloud solutions
  Certifications related to DWH
   

• Languages:
  • English: C1 Advanced

• We are looking for a Senior AWS DevOps / Cloud Infrastructure Engineer to support AWS infrastructure automation, customer environment deployment, and GitOps-based delivery.
   

• Responsibilities:

  * Design and implement reusable Terraform modules for AWS infrastructure.
  * Deploy and configure AWS services: VPC, IAM, EKS, RDS, Secrets Manager, FSx, Redis/ElastiCache, Kafka/MSK, EMR, AppStream.
  * Configure CI/CD pipelines using GitLab CI/CD or Azure DevOps.
  * Support GitOps deployment with FluxCD or Argo CD.
  * Deploy Kubernetes platform components such as external-secrets, controllers, Istio, monitoring, and runners.
  * Adapt deployment to customer AWS environments with existing VPCs, restricted IAM, network limits, or custom artifact repositories.
  * Troubleshoot infrastructure, networking, access, and deployment issues.
  * Prepare technical documentation, deployment instructions, and runbooks.
   

• Mandatory Skills Description:

  * Strong hands-on experience with AWS.
  * Strong experience with Terraform and infrastructure-as-code.
  * Good knowledge of AWS networking: VPC, subnets, routing, security groups, NAT, private endpoints.
  * Experience with IAM roles and policies.
  * Experience with EKS and Kubernetes infrastructure.
  * Experience with GitLab CI/CD or Azure DevOps Pipelines.
  * Experience with AWS services such as RDS, Secrets Manager, S3, FSx, Redis/ElastiCache, Kafka/MSK.
  * Ability to troubleshoot complex cloud deployments.
  * Good communication and documentation skills.

• A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients, which is built on big data architecture, highly scalable, and cloud-ready. The platform enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions (data flame). The project tech stack: Java, Scala, Spring, SQL, Kafka, Hadoop.
  
  We are looking for a strong Senior Java Developer capable of being able to work within the team, being a mentor for team members, communicating with stakeholders, and being accountable for the outcomes of activities that are assigned.
  
  The role of the involves working with strong development teams (2 Senior Java Developers), the opportunity to work with big data, improving knowledge in this domain, and utilizing the resources of an international bank.
   

• Responsibilities:

  • Design and build frameworks for ingesting/modeling the complex Risk data
  • Develop Low latency caching to service Front office risk systems
  • Setup monitoring and management for services
  • Provide SME support for development of automated QA scripts
   

• Mandatory Skills Description:

  • Strong knowledge of Big Data technologies Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) and Apache Spark
  • At least 5 years of experience in software development, including professional backend software development experience;
  • Strong Knowledge of Java programming languages
  • Should be familiar with algorithms and design patterns
  • Familiarity with Linux environment, including scripting skills
  • Designing and building APIs (Java);
  • Java Server-side or Back-end development;
  • Core Java;
  • Java collections and multithreading;
  • Java Memory Management;
  • Database and SQL (writing stored procedures, designing table schemas).
  • Understanding of distributed systems.
  • Understanding of CI/CD workflow.
  
  • Ability to multi-task and work under pressure.
  • Ability to pick up new concepts and apply the knowledge.
  • Demonstrated problem-solving skills.
  • Enthusiastic and proactive approach with a willingness to learn.
  • The candidate is expected to be dynamic and flexible with a high energy level as this is a demanding and rapidly changing environment

Project description

A next-generation cross-asset data management platform to provide globally consistent data and innovative tools to support business strategy for trade/sales clients, which is built on big data architecture, highly scalable, and cloud-ready. The platform enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions (data flame). The project tech stack: Java, Scala, Spring, SQL, Kafka, Hadoop.

We are looking for a strong Senior Java Developer capable of being able to work within the team, being a mentor for team members, communicating with stakeholders, and being accountable for the outcomes of activities that are assigned.

The role of the involves working with strong development teams (2 Senior Java Developers), the opportunity to work with big data, improving knowledge in this domain, and utilizing the resources of an international bank.

Responsibilities

Design and build frameworks for ingesting/modeling the complex Risk data

Develop Low latency caching to service Front office risk systems

Setup monitoring and management for services

Provide SME support for development of automated QA scripts

Skills

Must have

Strong knowledge of Big Data technologies Hadoop Ecosystem (HDFS, Impala, HIVE, HBASE, etc.) and Apache Spark

At least 5 years of experience in software development, including professional backend software development experience;

Strong Knowledge of Java programming languages

Should be familiar with algorithms and design patterns

Familiarity with Linux environment, including scripting skills

Designing and building APIs (Java);

Java Server-side or Back-end development;

Core Java;

Java collections and multithreading;

Java Memory Management;

Database and SQL (writing stored procedures, designing table schemas).

Understanding of distributed systems.

Understanding of CI/CD workflow.

Ability to multi-task and work under pressure.

Ability to pick up new concepts and apply the knowledge.

Demonstrated problem-solving skills.

Enthusiastic and proactive approach with a willingness to learn.

The candidate is expected to be dynamic and flexible with a high energy level as this is a demanding and rapidly changing environment

Nice to have

Experience In-memory databases and caching

Job Orchestration tools like Autosys or Airflow

Apache Spark

Financial background (where possible)

Languages

English: C1 Advanced