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We're looking for a proactive and experienced Regulatory & Compliance Counsel to join our legal team and take full ownership of global privacy, regulatory compliance, and emerging technology governance in the web data collection industry.
Role Overview:
You will be responsible for maintaining best-in-class compliance standards across privacy, data protection and AI governance. You'll navigate complex and evolving regulatory landscapes, ensuring we stay ahead of legal requirements while enabling business innovation. This role requires strategic thinking and hands-on execution, serving as the primary advisor on regulatory matters across all business units.
Responsibilities
Privacy, Data Protection & Web Data Compliance:
Lead compliance with global data protection regulations (GDPR, CCPA, LGPD, HIPAA, PIPEDA) and develop company-wide privacy programs and governance frameworks
Provide strategic legal guidance on compliant data collection practices, including CFAA, EU Database Directive, IP/TOS considerations, and conduct risk assessments for AI training datasets
AI Governance & Export Controls:
Ensure compliance with emerging AI regulations (EU AI Act, U.S. AI Executive Orders) and build AI governance frameworks
Maintain compliance programs for export control laws and sanctions screening (U.S. EAR, OFAC, EU regulations)
General Responsibilities:
Serve as regulatory liaison with authorities and auditors, develop compliance training programs, and provide regular updates to senior leadership on compliance posture and emerging risks.

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office.
Job Family Definition:
The Cloud Developer builds from the ground up to meet the needs of mission-critical applications, and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems.
Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions.
Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements.
The Cloud Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.
Management Level Definition:
Contributions include applying intermediate level of subject matter expertise to solve common technical problems. Acts as an informed team member providing analysis of information and recommendations for appropriate action. Works independently within an established framework and with moderate supervision.
Responsibilities:
Designs simple to moderate cloud application features as per specifications.
Develops and maintains cloud application modules adhering to security policies.
Designs test plans, develops, executes, and automates test cases for assigned portions of the developed code.
Deploys code and troubleshoots issues in application modules and deployment environment.
Shares and reviews innovative technical ideas with peers, high-level technical contributors, technical writers, and managers.
Analyses science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.

We're looking for a technical PM for our 'Dataset Marketplace' product - someone who gets data products. You'll own a platform with 200+ pre-collected datasets across verticals like B2B, e-commerce, and social media.
Your job? Help customers browse, filter, and subscribe to fresh data that powers their business.
Responsibilities
Own the entire product lifecycle from discovery to launch to optimization
Define and track KPIs that matter - revenue, activation, retention
Ship features that customers actually use (not vanity projects)
Run experiments, analyze results, double down on what works
Say no to good ideas to focus on great ones
Present to leadership with data, not opinions
Why this role rocks:
You'll shape how thousands of companies access and use data
Direct impact on revenue - your wins show up in the numbers
Work with cutting-edge AI and data tech
Small team = massive ownership and visibility
We actually listen to product (seriously, ask the team).

As a Senior Automation Lead , you will design, build, and maintain our test automation infrastructure, ensuring it meets the highest standards of availability, reliability, and quality. Youll own the testing lifecycle end-to-end, collaborate closely with cross-functional teams, and play a key role in strengthening both product quality and the automation ecosystem.

Responsibilities
Lead and mentor a team of automation engineers, providing technical guidance, reviews, and growth opportunities.
Define and maintain automation strategy, aligning with company goals and release pipelines.
Oversee test automation across multiple domains backend (API, microservices), frontend (web).
Mobile - advantage.
Streaming - advantage.
Manage automation project roadmaps, priorities, and integrations into CI/CD and DevOps workflows.
Establish best practices for structured test design, code quality, and maintainable architecture.
Collaborate closely with development, product, DevOps, and AI teams to ensure full test coverage and visibility.
Drive GenAI adoption in automation including AI agents, self-healing tests, and intelligent reporting.
Define automation metrics and dashboards for visibility into product quality, velocity, and test health.
Champion continuous improvement in test processes, tooling, and developer experience.

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office.
Job Description:
We are looking for a highly skilled Senior Data Engineer with strong architectural expertise to design and evolve our next-generation data platform. You will define the technical vision, build scalable and reliable data systems, and guide the long-term architecture that powers analytics, operational decision-making, and data-driven products across the organization.
This role is both strategic and hands-on. You will evaluate modern data technologies, define engineering best practices, and lead the implementation of robust, high-performance data solutionsincluding the design, build, and lifecycle management of data pipelines that support batch, streaming, and near-real-time workloads.
What Youll Do
Architecture & Strategy
Own the architecture of our data platform, ensuring scalability, performance, reliability, and security.
Define standards and best practices for data modeling, transformation, orchestration, governance, and lifecycle management.
Evaluate and integrate modern data technologies and frameworks that align with our long-term platform strategy.
Collaborate with engineering and product leadership to shape the technical roadmap.
Engineering & Delivery
Design, build, and manage scalable, resilient data pipelines for batch, streaming, and event-driven workloads.
Develop clean, high-quality data models and schemas to support analytics, BI, operational systems, and ML workflows.
Implement data quality, lineage, observability, and automated testing frameworks.
Build ingestion patterns for APIs, event streams, files, and third-party data sources.
Optimize compute, storage, and transformation layers for performance and cost efficiency.
Leadership & Collaboration
Serve as a senior technical leader and mentor within the data engineering team.
Lead architecture reviews, design discussions, and cross-team engineering initiatives.
Work closely with analysts, data scientists, software engineers, and product owners to define and deliver data solutions.
Communicate architectural decisions and trade-offs to technical and non-technical stakeholders.

We are looking for a Payroll Controller to support and work closely with our existing Payroll Controller in managing payroll processes across multiple countries, ensuring that all payments are accurate, compliant, and delivered on time. Collaborate closely with internal and external stakeholders to maintain smooth and efficient payroll operations.
Responsibilities
Manage employee onboarding and offboarding documentation (IL 101 and 161 forms).
Support the preparation, review, and validation of monthly payroll data across various countries before management approval.
Coordinate with local payroll providers to ensure accurate and timely processing.
Verify variable components such as bonuses, commissions, overtime, and deductions.
Maintain and update employee payroll records and documentation.
Help ensure compliance with local labor laws, tax regulations, and reporting requirements.
Provide support in payroll audits and year-end reporting.
Handle payroll-related queries from employees.

We are looking for a motivated and detail-oriented Junior FP&A to join our growing finance team.
Youll be part of a collaborative team of 5 analysts, delivering key financial insights, supporting budgeting and forecasting, and helping drive strategic decisions across the company.
Responsibilities
Support the annual budgeting and financial forecasting processes
Assist with month-end close activities, ensuring accuracy and completeness of financial reports
Provide ongoing financial support and analysis for various teams, projects, customer transactions, and strategic initiatives
Prepare ad-hoc financial models, reports, and analysis as needed
Monitor and analyze key performance indicators (KPIs), identifying trends and explaining variances
Collaborate with the finance team and department heads to deliver data-driven insights that support decision-making.

We are looking for a talented and experienced Data QA Engineer to join our data team. In this role, you will be responsible for ensuring the quality of the data we collect from websites. You will work closely with the development team, data analysts, Project Managers etc. to ensure that the data meets the highest standards of accuracy, integrity, and consistency.
Responsibilities
Planning, developing, and executing comprehensive test scenarios for data clients, that are based on public Web data:
Designing tests for client data needs, based on manual and automated methods
Performing manual and automated testing of data - integrity, accuracy etc.
Leveraging SQL to retrieve and analyze data from various databases
Documenting and tracking bugs and data quality issues
Analyzing large data sets to identify trends, anomalies, and potential problems
Communicating test findings clearly and effectively to various stakeholders
Defining QA standards and tools for partners developing data scrapers or performing basic QA testing for data:
Designing tests for different types of data being collected online
Building automated tests where relevant
Documenting methods and tools
Training the partners as needed
Validating the partner QA effectiveness
Developing and maintaining automated testing tools and scripts
Working closely with team members to ensure that the QA meets business and technical requirements
Staying updated with new testing technologies and methodologies.

This role has been designed as Onsite with an expectation that you will primarily work from an HPE partner/customer office.
Job Description:
our company offers university students the opportunity to join a leading IT company and gain invaluable experience through our Internship Program. our company offers you a highly dynamic, fast-paced, professional working environment and the chance to develop the skills you have gained at university in a real business environment. During your internship you will not only apply these skills in the IT industry, but also acquire a range of abilities to contribute to the business whilst working alongside industry professionals. Throughout the program, you'll have regular training and one-to-one meetings with your manager. Working together, you'll set goals and plot your development. And with our open-plan offices and friendly working culture, you'll have the chance to learn from senior managers who can help you in your future career.
What youll do :
As a junior partner business manager, you will support the senior management in cultivating and expanding key partnerships, while ensuring the business goals and aligning with the company's strategy. You will coordinate with internal teams and partner organizations, manage day-to-day partner interactions, and help drive business growth by identifying opportunities for collaboration and expansion.

We are seeking a hands-on Customer Success Manager with proven experience supporting SaaS customers, particularly in Analytics or eCommerce solutions.
In this role, you will be involved in all aspects of customer engagement, including success, account management, and customer education.
Responsibilities
Overseeing client relationships from onboarding through ongoing support
Managing comprehensive customer engagement, including support, success, account management, and education
Working with mid-to-large clients across Europe and Asia
Expertly handling multiple clients simultaneously, ensuring top-tier service
Monitoring customer health and delivering valuable insights to improve outcomes
Supporting clients across diverse industries and regions.

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from an HPE office.
Job Description:
Responsibilities:
Provides guidance and leadership to design and develop reliable, cost-effective, and high-quality solutions for assigned systems portions or subsystems and advise on dealing with high-risk situations.
Identifies and evaluates new technology innovations to ensure alignment with the technology roadmap and business value; creates plans for integration and update into architecture.
Reviews and evaluates designs and project activities for compliance with development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
Provides mentoring to others to set an example of software systems design and development innovation and excellence.
Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or network concerns.