Data Engineer & Full Stack Developer

Job Description:

In the Finance and Corporate Strategy team we ensure that the business’s capital strategies are operationally supported and strategically focused. This is how we work to secure the greatest return on investment for the global company. By gathering and analysing financial data we can influence decisions within the business, drive initiatives, and help ensure alignment with our wider objectives. Join us redefine what’s next for you.

Job Family Definition:

Designs, develops, troubleshoots and debugs E2E applications for Finance Digital transformation.

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.

What you’ll do:

Responsibilities:

• Data engineering: Design, develop, test, and maintain batch and real-time ETL/ELT pipelines across structured and unstructured data sources.
• Data platforms: Build and optimise data lakes, warehouses, lakehouses, schemas, and curated data sets for analytics and operational use.
• Full-stack delivery: Develop responsive web applications using modern front-end frameworks and scalable back-end services.
• Performance and security: Improve application, query, and pipeline performance while following secure coding and privacy standards.
• Collaboration: Partner with product owners, architects, analysts, data scientists, designers, and business stakeholders in an Agile environment.
• Operations: Troubleshoot incidents, perform root-cause analysis, document solutions, and continuously improve platform reliability.

What you need to bring:

Education and Experience Required:

• Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent.
• Typically 2-4 years experience.

Knowledge and Skills:

• Using software systems design tools and languages.
• Ability to apply analytical and problem solving skills.
• 5+ years of software or data engineering experience, including meaningful ownership across both data and application layers.
• Strong proficiency in Python and SQL, plus Java, C#, or Node.js/TypeScript for back-end development.
• Hands-on experience with React or Angular, HTML, CSS, JavaScript/TypeScript, and responsive UI development.
• Experience building ETL/ELT solutions with tools such as Apache Spark, Databricks, Airflow, dbt, Kafka, or comparable services.
• Strong knowledge of relational and NoSQL databases, data modelling, query optimisation, and distributed systems.
• Experience with Azure, AWS, or Google Cloud, including storage, compute, identity, serverless, and managed data services.
• Practical knowledge of Git, automated testing, containers, CI/CD, logging, monitoring, and infrastructure-as-code.
• Understanding of authentication, authorisation, encryption, secrets management, secure APIs, and data privacy controls.
• Strong written and verbal communication skills; mastery in English and local language. Ability to effectively communicate design proposals and negotiate options.

Accessibility

HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.

Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.

Health & Wellbeing

We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.

Personal & Professional Development

We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.

Unconditional Inclusion

We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.

Job:

Job Level:

Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.

HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.

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