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). This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com , and read about the latest news via ourStoryHub (https://news.lenovo.com/) . **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