Data Engineer, Solution Presales

**General Information**:

- Req #
- WD00086055
- Career area:

- Services
- Country/Region:

- Singapore
- State:

- Central Singapore
- City:

- SINGAPORE
- Date:

- Saturday, August 2, 2025
- Working time:

- Full-time

**Additional Locations**:

- Singapore - Central Singapore - Singapore
- Singapore - Central Singapore - SINGAPORE

**Why Work at Lenovo**:

- We are Lenovo. We do what we say. We own what we do. We WOW our customers.

Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).

**Description and Requirements**:
Data Engineer (Presales/COE Team) - As a Data Engineer in our COE Presales (Data & AI) team, you will play a pivotal role in designing and recommending solutions leveraging the latest data engineering and AI/ML technologies. You will work closely with stakeholders to design, develop, and implement data strategies that drive business value and support presales engagements for government and enterprise clients.

**You Will**:

- Lead the design, development, and optimization of data pipelines and architectures for analytics and machine learning.
- Design and plan data-centric approaches for deployment, capacity, and performance.
- Ensure solutions are scalable, secure, and adhere to industry best practices.
- Evaluate and recommend leading data engineering and ML/AI technologies to meet customer requirements.
- Collaborate with internal stakeholders to determine the most effective solutions for customers’ needs.
- Ingest, process and manage data across various modalities - including video, audio, tabular and text - ensuring solutions are robust for diverse data types.
- Build demos or proof-of-concept solutions that ingest and process client sample data using modern data and AI/ML technologies to showcase solution feasibility and value.
- Articulate the business value and ROI of proposed solutions to both technical and non-technical audiences.
- Design, build and support the development of AI solutions for internal or external use cases as part of our effort to promote adoption of AI by customers or staff.

**You Bring**:
Experience
- Bachelor’s degree in computer science, engineering, or related field
- 3-5 years’ experience in data engineering or presales/solution engineering roles
- Certifications in Cloud Data Engineer ie Azure Data Engineer (DP-203) or AWS Certified Data Analytics Specialty, Google Professional Data Engineer. Vendor Neutral/Multi-Cloud Data Engineer Associate / Profession in Databricks, Snowflakes or Cloudera Data Platform.
- Data Engineering & MLOps
- Data pipeline orchestration (e.g., Apache Airflow)
- Distributed processing (e.g., Spark, Hadoop)
- Batch and real-time data (e.g., Kafka)
- Familiarity with Data lake and warehouse design
- ML/AI tools: Databricks, DataRobot, SQL, Python or any other similar tools
- MLOps: model deployment, experiment tracking, CI/CD for data/ML
- Familiarity with government compliance (e.g., IM8, GCC)
- Experience with ingesting and processing multi-modal data, including video, audio, tabular and text formats.

Cloud & DevOps
- Hands-on with AWS, Azure, or Google Cloud Platform
- Linux/Unix administration
- Version control (Git), containerization (Docker, Kubernetes)
- Infrastructure as Code (Terraform)

Soft Skills
- Strong analytical, problem-solving, and communication skills
- Team player with an entrepreneurial mindset and adaptability

**Good to Have**:

- TOGAF or architecture certification
- Familiarity on cloud data platforms in Azure Data Factory, AWS Glue or Google Cloud DataFlow
- Prior presales experience would be helpful

LPS

**Additional Locations**:

- Singapore - Central Singapore - Singapore
- Singapore - Central Singapore - SINGAPORE
- Singapore
- Singapore - Central Singapore
- Singapore - Central Singapore - Singapore ,
- Singapore - Central Singapore - SINGAPORE