Luxoft

Project Description:

Envana is an energy solutions provider. Our AI-enabled platform supports operations, tracking and decision-
making to optimize large-scale renewable and traditional energy portfolios. We're delivering a key client MVP
in February 2027, and the project continues into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and
Python services, PostgreSQL, Snowflake and AWS. We're looking for an autonomous data engineer to
strengthen our data foundation through good modeling, clean schemas, reliability and automation.

Responsibilities:

Work closely with product teams to help define and execute technical criteria
Architect and maintain robust data ingestion pipelines that feed both our application and analytics
Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data
Help onboard client data from a variety of sources, such as Databricks via Delta Sharing, and integrate it
with our existing services and workflows
Make pipelines reliable and automated: data quality tests, monitoring, safe reprocessing and schema
change handling
Build a documented, well-tested data foundation that serves the app, analytics and future AI use cases

Mandatory Skills Description:

Mid-to-senior data engineer who has owned the design of production data pipelines end to end, working
as an autonomous IC
Designing and building production ingestion pipelines from APIs, files and shared-data sources, using a
workflow orchestrator (any tool, e.g. Airflow, Dagster or Step Functions)
Production experience with a cloud data warehouse (Snowflake preferred)
Strong SQL, plus production experience in Python (preferred) or Node.js/TypeScript
AWS or another enterprise cloud platform
AI-native development: daily use of agentic AI coding tools, and experience scaling shared AI workflows
across a team and into the development lifecycle, including CI/CD
Strong English and communication skills

Nice-to-Have Skills Description:

dbt
Preparing data for AI/LLM use (e.g. semantic layers, metadata, retrieval-ready datasets)
Infrastructure as code (e.g. Terraform)
Exposure to energy, utilities or sustainability data

Languages:

English: B2 Upper Intermediate

Project Description:

You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

Responsibilities:

- Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform
- Build and enhance data processing pipelines using Java and Apache Spark
- Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources
- Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions
- Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle
- Translate business and regulatory requirements into robust technical solutions
- Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality
- Investigate and resolve data and application issues in development, test, and production environments
- Improve application performance, scalability, and reliability for high-volume data processing workloads
- Contribute to the design and implementation of reusable components and engineering best practices
- Participate in code reviews, testing, and release activities to ensure high-quality deliverables
- Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model
- Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

Mandatory Skills Description:

- 6+ years of commercial experience with Java
- Experience in designing and developing scalable, high-performance backend applications
- Good knowledge of SQL and working with large datasets from multiple data sources
- Strong problem-solving skills and ability to work effectively in a global distributed team

Nice-to-Have Skills Description:

- Experience in financial services, investment banking, or regulatory reporting projects
- Familiarity with data quality, reconciliation, and control frameworks
- Experience working with large-scale enterprise data platforms
- Knowledge of cloud environments and modern data platform architectures
- Understanding of CI/CD practices and automated deployment pipelines
- Experience working in Agile / Scrum teams within a distributed global setup

Project Description:

You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

Responsibilities:

- Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform
- Build and enhance data processing pipelines using Java and Apache Spark
- Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources
- Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions
- Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle
- Translate business and regulatory requirements into robust technical solutions
- Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality
- Investigate and resolve data and application issues in development, test, and production environments
- Improve application performance, scalability, and reliability for high-volume data processing workloads
- Contribute to the design and implementation of reusable components and engineering best practices
- Participate in code reviews, testing, and release activities to ensure high-quality deliverables
- Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model
- Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

Mandatory Skills Description:

- 6+ years of commercial experience with Java
- Experience in designing and developing scalable, high-performance backend applications
- Good knowledge of SQL and working with large datasets from multiple data sources
- Strong problem-solving skills and ability to work effectively in a global distributed team

Nice-to-Have Skills Description:

- Spark and Hadoop knowledge
- Experience in financial services, investment banking, or regulatory reporting projects
- Familiarity with data quality, reconciliation, and control frameworks
- Experience working with large-scale enterprise data platforms
- Knowledge of cloud environments and modern data platform architectures
- Understanding of CI/CD practices and automated deployment pipelines
- Experience working in Agile / Scrum teams within a distributed global setup

Languages:

English: B2 Upper Intermediate

Project Description:

Looking for new members of Finance Partners team with excellent analytical skills and profound knowledge of all MS Office programs.

Responsibilities:

• Budgeting, forecasting, reporting by profit/cost centers on a regular basis
• Analyzing the deviations, investigating the reasons for the latter, providing meaningful comments
• Preparation of financial/statistical/analytical models and presenting them to stakeholders
• Ad-hoc financial analysis (what-if analysis; FX, tax, market risk impact analysis etc)
• Consulting stakeholders on financial questions
• Constant support of internal systems with financial data

Mandatory Skills Description:

• Bachelor+ degree in Economics, Banking, Finance or related science
• 2+ years of experience in Finance, Controlling preferably in an international company
• Excellent communication skills
• Advanced MS Office user (especially Excel and PowerPoint)
• Attention to details, strong analytical and problem-solving skills
• Strong Excel skills

Nice-to-Have Skills Description:

- Ability to work without supervision, under pressure of deadlines in a dynamic environment
 - Big4 experience will be a plus
 - VBA will be a plus

Languages:

English: B2 Upper Intermediate

Envana is an energy solutions provider. Our AI-enabled platform supports operations, tracking and decision-
making to optimize large-scale renewable and traditional energy portfolios. We're delivering a key client MVP
in February 2027, and the project continues into 2028. Our stack: Ruby on Rails, Node.js/TypeScript and
Python services, PostgreSQL, Snowflake and AWS. We're looking for an autonomous data engineer to
strengthen our data foundation through good modeling, clean schemas, reliability and automation.

• Responsibilities:

  Work closely with product teams to help define and execute technical criteria
  Architect and maintain robust data ingestion pipelines that feed both our application and analytics
  Design well-modeled, layered tables with clean schemas that turn raw data into analytics-ready data
  Help onboard client data from a variety of sources, such as Databricks via Delta Sharing, and integrate it
  with our existing services and workflows
  Make pipelines reliable and automated: data quality tests, monitoring, safe reprocessing and schema
  change handling
  Build a documented, well-tested data foundation that serves the app, analytics and future AI use cases

• Mandatory Skills Description:

  Mid-to-senior data engineer who has owned the design of production data pipelines end to end, working
  as an autonomous IC
  Designing and building production ingestion pipelines from APIs, files and shared-data sources, using a
  workflow orchestrator (any tool, e.g. Airflow, Dagster or Step Functions)
  Production experience with a cloud data warehouse (Snowflake preferred)
  Strong SQL, plus production experience in Python (preferred) or Node.js/TypeScript
  AWS or another enterprise cloud platform
  AI-native development: daily use of agentic AI coding tools, and experience scaling shared AI workflows
  across a team and into the development lifecycle, including CI/CD
  Strong English and communication skills

• We are looking for a Senior UX/UI Designer to join a dedicated design team focused on building a unified experience for reservoir modeling.
  Our client is a global leader in digital solutions for the energy sector, delivering an advanced software platform that supports the entire Oil & Gas lifecycle — from geological exploration to production optimization. The product helps engineers with reservoir modeling and decision-making.
  You will collaborate closely with the customer team to deliver consistent, user-centered design solutions across complex engineering applications.

   

• Responsibilities:

  • Simplify complex technical processes into user-friendly designs for engineering teams.
  • Understand product workflows and integrate new features into the existing experience.
  • Lead user research and usability testing, and iterate on solutions based on findings.
  • Collaborate with Product Owners and subject-matter experts to define requirements and communicate solutions through flows, wireframes, and prototypes.
  • Collaborate with the design team, communicate decisions, and incorporate feedback.
  • Conduct UX audits and heuristic evaluations to identify usability improvements.
  • Follow the Design System and align new features and UI patterns with established standards.

   

• Mandatory Skills Description:

  • 5+ years of experience designing complex web or enterprise applications.
  • Strong understanding of UX principles, interaction design, and scalable UI patterns.
  • Proven ability to structure information and design effective interfaces for data-heavy, technical environments.

  • Enterprise experience;
  • Complex systems case studies;
  • Senior level UI skills;
  • Proven experience maintaining products post-MVP.
  • Ability to understand existing product workflows and integrate new functionality effectively.
  • Strong experience iterating on features based on research and feedback.
  • Experience conducting user research and usability testing.
  • Strong communication skills and ability to explain design decisions.
  • Strong collaboration skills and experience working within a design team.
  • Proficiency in Figma, including components, auto-layout, and variables; familiarity with design systems and token-based design approaches.
  • Self-driven and organized, with the ability to manage priorities in cross-functional teams.

   

• Nice-to-Have Skills Description:

  • Experience in enterprise applications.
  • Exposure to research practices and usability methods.

   

• Languages:
  • English: C1 Advanced

Project description

Our client is a leading global Financial market data provider who runs a change program aiming to migrate a set of legacy data connectors to a new strategic platform. The main driver is to deliver high-quality software that connects Financial Markets across the globe in a real-time, high frequency, and low-latency data management chain. The projects are technically challenging in an environment that is very engaging. Projects will utilize a multitude of different languages and skillsets with a focus on C++ and scripting languages.

We are looking for a C++ software engineer/developer with experience in implementation backend systems and services running under Linux, Cloud, ideally, with capabilities to deliver projects independently and coordinate work with BA, QA, Operational, and cross-functional application teams.

Responsibilities

Develop high-quality software, design, and functional documentation

Provide estimates for specific software feature implementation

Identify, prioritize, and execute tasks in the software development life cycle

Build unit tests for your code

Automate tasks through appropriate tools and scripting

Perform validation and verification testing

Collaborate with internal teams and vendors to fix and improve products

Ensure software is up-to-date with the latest technologies and standards

Skills

Must have

Hard skills:

Proficient in full life-cycle software development with an emphasis on object-oriented design in C++.

Experienced in Linux-based development environments.

Network communications (TCP/UDP), Docker containerization, and AWS cloud platforms.

Soft skills:

Capable of effective collaboration within a team setting while also being able to work independently.

Demonstrates strong analytical abilities and a genuine enthusiasm for problem-solving.

Communicates fluently in English at an Upper-Intermediate spoken level.

Nice to have

Optional ability to research and recommend new technologies, demonstrating rapid adaptability to change.

Optional experience in working with market data and trading environments.

Python programming

Languages

English: B2 Upper Intermediate

Our client is a leading global Financial market data provider who runs a change program aiming to migrate a set of legacy data connectors to a new strategic platform. The main driver is to deliver high-quality software that connects Financial Markets across the globe in a real-time, high frequency, and low-latency data management chain. The projects are technically challenging in an environment that is very engaging. Projects will utilize a multitude of different languages and skillsets with a focus on C++ and scripting languages.

We are looking for a C++ software engineer/developer with experience in implementation backend systems and services running under Linux, Cloud, ideally, with capabilities to deliver projects independently and coordinate work with BA, QA, Operational, and cross-functional application teams.

• Responsibilities:

  • Develop high-quality software, design, and functional documentation
  • Provide estimates for specific software feature implementation
  • Identify, prioritize, and execute tasks in the software development life cycle
  • Build unit tests for your code
  • Automate tasks through appropriate tools and scripting
  • Perform validation and verification testing
  • Collaborate with internal teams and vendors to fix and improve products
  • Ensure software is up-to-date with the latest technologies and standards

• Mandatory Skills Description:

  Hard skills:
  - Proficient in full life-cycle software development with an emphasis on object-oriented design in C++.
  - Experienced in Linux-based development environments.
  - Network communications (TCP/UDP), Docker containerization, and AWS cloud platforms.
  
  Soft skills:
  - Capable of effective collaboration within a team setting while also being able to work independently.
  - Demonstrates strong analytical abilities and a genuine enthusiasm for problem-solving.
  - Communicates fluently in English at an Upper-Intermediate spoken level.

• Nice-to-Have Skills Description:

  • Optional ability to research and recommend new technologies, demonstrating rapid adaptability to change.
  • Optional experience in working with market data and trading environments.
  • Python programming

Project description

Looking for new members of Finance Partners team with excellent analytical skills and profound knowledge of all MS Office programs.

Responsibilities

Budgeting, forecasting, reporting by profit/cost centers on a regular basis

Analyzing the deviations, investigating the reasons for the latter, providing meaningful comments

Preparation of financial/statistical/analytical models and presenting them to stakeholders

Ad-hoc financial analysis (what-if analysis; FX, tax, market risk impact analysis etc)

Consulting stakeholders on financial questions

Constant support of internal systems with financial data

Skills

Must have

Bachelor degree in Economics, Banking, Finance or related science

2+ years of experience in Finance, Controlling preferably in an international company

Excellent communication skills

Advanced MS Office user (especially Excel and PowerPoint)

Attention to details, strong analytical and problem-solving skills

Strong Excel skills

Nice to have

Ability to work without supervision, under pressure of deadlines in a dynamic environment

Big4 experience will be a plus

VBA will be a plus

Project description

You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

Responsibilities

Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform

Build and enhance data processing pipelines using Java and Apache Spark

Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources

Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions

Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle

Translate business and regulatory requirements into robust technical solutions

Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality

Investigate and resolve data and application issues in development, test, and production environments

Improve application performance, scalability, and reliability for high-volume data processing workloads

Contribute to the design and implementation of reusable components and engineering best practices

Participate in code reviews, testing, and release activities to ensure high-quality deliverables

Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model

Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

Skills

Must have

6+ years of commercial experience with Python

2+ years of PySpark experience

Experience in designing and developing scalable, high-performance backend applications

Good knowledge of SQL and working with large datasets from multiple data sources

Strong problem-solving skills and ability to work effectively in a global distributed team

Nice to have

Experience in financial services, investment banking, or regulatory reporting projects

Familiarity with data quality, reconciliation, and control frameworks

Experience working with large-scale enterprise data platforms

Knowledge of cloud environments and modern data platform architectures

Understanding of CI/CD practices and automated deployment pipelines

Experience working in Agile / Scrum teams within a distributed global setup

We are looking for an AI Prompt Engineer / AI Integration Engineer with hands-on experience using modern LLM tools such as ChatGPT, Claude, and similar platforms.

The role will focus on applying AI capabilities to engineering web applications, specifically drilling and completion software.

• Responsibilities:

  Identify practical AI use cases for drilling and completion software.
  Design, test, and improve prompts using ChatGPT, Claude, and similar tools.
  Support integration of AI features into engineering web applications.
  Work with product, engineering, and domain teams to validate AI outputs.
  Help define best practices for AI-assisted workflows and responsible AI usage.

• Mandatory Skills Description:

  Practical experience with modern LLM and GenAI tools/platforms, such as ChatGPT, Claude, Azure OpenAI Service, Azure AI Foundry, or similar.
  Strong prompt engineering skills.
  Hands-on experience with LangSmith, LangChain, DeepAgent, or similar frameworks
  Experience with Kafka, Kubernates, Postgres and Bedrock
  Backend: Python
  Experience applying AI tools to real business, engineering, or software development use cases.
  Understanding of how AI/LLM capabilities can be integrated into web applications.
  Ability to design AI-assisted workflows, prompts, and response validation approaches.
  Good understanding of web application concepts.
  Strong communication skills.

• Nice-to-Have Skills Description:

  Experience with drilling, completion, oil & gas, or other engineering software.
  Experience with AI assistants, copilots, workflow automation, or decision-support tools.
  Familiarity with JavaScript/TypeScript, Node.js, Angular, React, or similar technologies.
  Experience with GitHub Copilot, Cursor, or other AI-assisted development tools.
  Experience working with technical documentation, engineering data, or domain-specific knowledge bases.

• You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
  This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
  The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

   

• Responsibilities:

  - Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform
  - Build and enhance data processing pipelines using Java and Apache Spark
  - Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources
  - Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions
  - Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle
  - Translate business and regulatory requirements into robust technical solutions
  - Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality
  - Investigate and resolve data and application issues in development, test, and production environments
  - Improve application performance, scalability, and reliability for high-volume data processing workloads
  - Contribute to the design and implementation of reusable components and engineering best practices
  - Participate in code reviews, testing, and release activities to ensure high-quality deliverables
  - Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model
  - Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

   

• Mandatory Skills Description:

  - 6+ years of commercial experience with Python
  - 2+ years of PySpark experience
  - Experience in designing and developing scalable, high-performance backend applications
  - Good knowledge of SQL and working with large datasets from multiple data sources
  - Strong problem-solving skills and ability to work effectively in a global distributed team

   

• Nice-to-Have Skills Description:

  - Experience in financial services, investment banking, or regulatory reporting projects
  - Familiarity with data quality, reconciliation, and control frameworks
  - Experience working with large-scale enterprise data platforms
  - Knowledge of cloud environments and modern data platform architectures
  - Understanding of CI/CD practices and automated deployment pipelines
  - Experience working in Agile / Scrum teams within a distributed global setup

   

• Languages:
  • English: B2 Upper Intermediate

Project description

You will join a Regulatory Reporting Platform within a large US investment bank. The platform is responsible for collecting, processing, and transforming large volumes of data from multiple internal systems to produce regulatory reports for 240 jurisdictions worldwide. In total, the platform supports around 10,000 reports across a wide range of regulatory, compliance, financial, and risk reporting areas.
This is a large-scale, business-critical data platform operating in a highly regulated environment, where data accuracy, quality, traceability, and timely delivery are essential. The team works on building and enhancing data pipelines, implementing reporting logic, ensuring data validation and reconciliation, and supporting the generation of complex regulatory outputs.
The project is delivered by a global distributed team with colleagues located in Ukraine, Poland, and the US, offering close collaboration with engineers, analysts, and business stakeholders across multiple regions.

Responsibilities

Design, develop, and maintain solutions for a large-scale Regulatory Reporting Platform

Build and enhance data processing pipelines using Java and Apache Spark

Implement scalable logic for data ingestion, transformation, aggregation, and enrichment from multiple internal data sources

Develop and optimize batch processing jobs to support the generation of regulatory reports across multiple jurisdictions

Ensure high standards of data quality, validation, reconciliation, and consistency throughout the reporting lifecycle

Translate business and regulatory requirements into robust technical solutions

Collaborate with business analysts, QA engineers, and cross-functional teams to deliver reporting functionality

Investigate and resolve data and application issues in development, test, and production environments

Improve application performance, scalability, and reliability for high-volume data processing workloads

Contribute to the design and implementation of reusable components and engineering best practices

Participate in code reviews, testing, and release activities to ensure high-quality deliverables

Work closely with distributed teams across Ukraine, Poland, and the US in an agile delivery model

Support continuous improvement of the platform, including monitoring, troubleshooting, and operational stability

Skills

Must have

6+ years of commercial experience with Python

2+ years of PySpark experience

Experience in designing and developing scalable, high-performance backend applications

Good knowledge of SQL and working with large datasets from multiple data sources

Strong problem-solving skills and ability to work effectively in a global distributed team

Nice to have

Experience in financial services, investment banking, or regulatory reporting projects

Familiarity with data quality, reconciliation, and control frameworks

Experience working with large-scale enterprise data platforms

Knowledge of cloud environments and modern data platform architectures

Understanding of CI/CD practices and automated deployment pipelines

Experience working in Agile / Scrum teams within a distributed global setup

Languages

English: B2 Upper Intermediate

Our Client is undertaking the most significant digital transformation in its history, with the delivery of a consistent, integrated SAP S/4HANA-based ecosystem and associated technology stack across markets as its cornerstone.
We are seeking Senior UiPath Test Automation Developers to build end-to-end (E2E) Test Automation in UiPath. The E2E suite simulates the Client's operations step by step, the way users work, across SAP and non-SAP systems. Once live, it runs automatically every weekend and on demand, for example before big or critical changes. The Developers own the non-SAP parts of the E2E automation and connect them with the SAP parts, which another System Integrator automates. We need deep UiPath and test automation architecture experience: the Developers help design/improve the framework, not only build tests.
More than 200 people are involved in the transformation.

• Responsibilities:

  • Help design and implement the E2E Test Automation framework in UiPath, together with the Client's Test Automation Lead.
  • Build it around four contracts: Identity, Data, Environment and Result.
  • Set up the orchestration of test runs in UiPath Orchestrator and Test Manager, with results flowing into SAP Cloud ALM.
  • Define reusable components, coding standards, and review rules so the suite stays easy to maintain.
  • Automate the non-SAP steps of the E2E business processes in UiPath, with UI and API steps.
  • Connect them with the SAP steps automated by another System Integrator into one E2E flow.
  • Turn the agreed E2E scenarios and Test Cases into data-driven automated tests.
  • Build the automation in parallel with the manual Dry Runs and SIT of the first pilot, so it is ready for SIT and Regression in the later rollouts.
  • Run and maintain the E2E suite every weekend and on demand, for example before big or critical changes.
  • Analyze failures, log defects in SAP Cloud ALM and update the tests.
  • Keep the suite stable as processes, systems and release cycles change.
  • Document the framework, standards and test assets.
  • Share UiPath and framework know-how with the Client's Test Automation Team.
  • Report progress, automation coverage and run results to the Client's Test Automation Lead.

• Mandatory Skills Description:

  * 5+ years in test automation, including 3+ years building test automation in UiPath
  * Deep, hands-on knowledge of UiPath Studio (low-code and coded test automation), Orchestrator, Robots and Test Manager.
  * Experience in designing and building a test automation framework from scratch: architecture, reusable components, standards, and reviews.
  * Experience in automating end-to-end business processes across several systems, with UI and API steps (REST).
  * Data-driven testing and test data handling for automated runs.
  * UiPath Certified Professional certification, e.g. Test Automation Engineer Professional and Automation Developer Professional.
  * Version control (Git) and CI/CD pipelines for automated test runs.
  * Experience automating SAP S/4HANA (SAP GUI / Fiori) with UiPath.
  * Experience with SAP Cloud ALM or a similar ALM tool.
  * UiPath Autopilot and AI agents for testing.
  * Retail or fashion domain knowledge.
  * Ownership: Takes the framework and the suite from design to stable weekly runs.
  * Clear Communication: Explains run results and failures so Test Managers and Product Teams can act on them.
  * Collaboration: Works closely with the Client's Test Managers, the programme System Integrator, non-SAP product vendors (where automations will be built upon) and Product Teams across locations.
  * Structure and Quality: Writes clean, reusable and documented automation that others can maintain.
  * Pragmatism: Automates what brings the most value first, under tight timelines.

Project Description

We are building a new platform for collecting and processing information across the bank and making it accessible through private and public cloud environments.

You will contribute to the platform’s development from the ground up, with a focus on Java development, SQL, automated testing, and code quality.

Responsibilities

• Develop clean, maintainable, and well-tested Java code.
• Write test cases and maintain documentation for users and support teams.
• Support and automate the development environment using Jenkins CI and Bash.
• Evaluate development tools, libraries, and approaches to improve software quality.
• Review code changes and provide constructive feedback to other developers.

Mandatory Skills

• At least 6 years of commercial Java development experience.
• Strong SQL knowledge and practical experience working with relational databases. Experience with Oracle or PostgreSQL is preferred.
• Strong problem-solving and debugging skills, including the ability to understand existing code, identify defects, and implement fixes.
• Ability to explain technical decisions and demonstrate coding skills during live coding exercises.
• English at B2 level or above.

Nice-to-Have Skills

• Experience with messaging systems such as RabbitMQ or Kafka.
• Experience with Docker and Kubernetes.
• Familiarity with Linux.

Recruitment Process

The selection process includes several stages on both our side and the client’s side:

1. CV Review: the project team reviews your experience and its relevance to the role.
2. Coderbyte Test: an online coding assessment.
3. Technical Interview: a technical discussion with our interviewer.
4. Project Management Interview (PMI): a discussion of your experience, communication skills, and fit for the project.
5. Karat Interview: the first client-side technical assessment.
6. Client Interview: the final interview with the client’s project team.

Please be prepared for coding assessments and live coding during the technical selection stages. As the process involves several interviews, it may take additional time to complete.