Contribute to review of product specifications and other product material, supporting scenario testing and profitability analysis of products, and helping prepare technical documentation for regulatory filings.
Responsibilities
Contribute to review of product specifications and other product material
Work with cross-functional teams (e.g. Product, IT, Operation, …) to ensure accurate product implementation in core system
Supporting scenario testing and profitability analysis of products
Help prepare technical documentation for regulatory filings
Conduct market research to benchmark product features and pricing
Senior Data Engineer responsible for building and maintaining data pipelines, lakehouse, and AI-facing data tools within Backbase’s Data Enablement team.
Responsibilities
Develop and maintain pipelines extracting data from many sources
Process data ranging from observability metrics to bank accounts and transactions
Transform raw data into business-ready analytical models on a Data Lakehouse
Guard data consistency, quality and end-to-end governance across the full lifecycle
Ingest and maintain a large versioned documentation corpus
Requirements
Bachelor's or Master's degree in Computer Science, Data Science or a related field
Senior Data Engineer responsible for designing, developing, testing, deploying and monitoring data pipelines in Databricks on AWS, building scalable code with PySpark and SQL, improving internal processes, creating data quality dashboards, and ensuring data security and governance.
Locations (2)
Ho Chi Minh City, Ho Chi Minh City (HCMC), Vietnam
Hanoi, Hanoi, Vietnam
Compensation
Performance-based bonus and equity participation in GoTyme Group
13th month salary pro-rata
Responsibilities
Design, develop, test, deploy and monitor data pipelines in Databricks on AWS
Design, develop, test, deploy and monitor scalable code with PySpark and SQL in Databricks
Identify opportunities to improve internal process through code optimisation and automation
Build data quality dashboards, lineage flows and monitoring tools
Assist in migrating data from legacy systems onto newly developed solutions
Drive high data integrity by establishing robust validation rules, governance standards, and automated system checks
Perform deep‑dive analysis on large and complex datasets to uncover customer insights, behavioral trends, and strategic business opportunities
Create compelling dashboards and data visualizations that translate complex findings into clear, actionable insights for both technical and non‑technical stakeholders
Develop advanced SQL queries, scalable data models, and end‑to‑end analytics solutions that directly support evolving business needs
Design, streamline, and optimize reporting frameworks, automated processes, and analytical workflows to enhance efficiency and decision‑making
The Centric PXM Technical Consultant is the technical delivery authority for Centric PXM in APAC. The role ensures that every Centric PXM implementation – whether delivered directly by Centric, by certified SI/reseller partners, or with subcontracted resources – goes live on time, to Centric quality standards, and becomes a referenceable customer. The role bridges Sales, Partners, Subcontractors, and Customers: shaping what is sold, governing how it is built, and owning what is delivered.
Responsibilities
Act as Project Manager and technical lead for Centric PXM projects contracted directly with customers
Serve as Centric’s technical authority for SI and reseller partners in APAC
Plan, assign, and supervise subcontracted consultants and developers
Own the quality management framework for Centric PXM projects in APAC
Support Sales with discovery workshops, solution architecture, demonstrations and proofs of concept
Requirements
Bachelor’s or Master’s degree, preferably in Computer Science, MIS, Engineering, or similar
Strategize growth pillars for Food Enterprise commercial plans and analyze lever efficiency to guide investment allocation and ensure OKR deliverables
Blend data-informed hypothesis and merchant/ industry on-ground understanding to drive cross-functional investment focus and ensure efficiency against planning
Coordinate with relevant teams to execute the commercial campaign calendar and establish best practices that drive merchant growth
Identify opportunities, pitch, and close high-value commercial deals; design creative co-investment and promotional models that maximize win-win P&L gains
You will build and scale the data and AI backend behind our creator intelligence. That means scraping social platforms at scale, storing and querying large volumes of creator data, and building the AI pipelines that evaluate, classify and match creators to brand briefs.
Compensation
USD 850 – 1,250 per month, full-time, fully remote.
Responsibilities
Build backend services and REST APIs with Python, Django and Django REST Framework
Build and maintain scraping systems for social platforms: scheduling, queues, proxies, rate limits and retries
Design data pipelines and schemas in ClickHouse and MySQL, and optimize queries on large datasets
Run and scale infrastructure on AWS, with monitoring and cost in mind
Integrate LLM APIs (OpenAI, Claude, Gemini) for classification, labeling and evaluation of creator data
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