Data jobs in Singapore

At CoffeeBeans Consulting, we are a dynamic software consulting firm dedicated to helping clients tackle intricate challenges through innovative technology solutions. We are currently in the process of expanding our Data & AI practice and are in search of a Lead Consultant with expertise in Data & AI to collaborate with us in constructing and executing impactful data and AI projects for our esteemed clients.As a Lead Consultant specializing in Data & AI at CoffeeBeans Consulting, you will play a pivotal role in engineering and architecting solutions, engaging with clients to comprehend their business dilemmas and transform them into technical resolutions, as well as guiding and mentoring junior team members to cultivate a high-performance team ethos.Your responsibilities will include designing and delivering end-to-end AI/ML solutions, establishing and recommending best practices, serving as a trusted technical advisor for clients to shape their Data & AI strategies, leading by example in project execution, setting standards for AI and data projects, and fostering the growth and development of junior engineers and data scientists within the team.To qualify for this role, you should possess a minimum of 10-12 years of experience in the software/technology industry, with a minimum of 5 years dedicated to designing and implementing AI/ML solutions in production settings. Additionally, you should have a strong background in data engineering and architecture, experience in consulting or client-facing roles, and proficient technical skills encompassing traditional ML, GenAI, AI/ML frameworks, programming languages such as Python, data engineering tools, cloud platforms, and MLOps practices.Key Requirements:Experience:- 10-12 years in the software/technology industry.- Minimum 5+ years of experience designing and building AI/ML solutions in production environments.- Strong experience with data engineering and architecture in production systems.- Experience working in consulting or client-facing delivery environments.Technical Skills:- Deep knowledge of traditional ML and GenAI.- Hands-on experience with AI/ML frameworks.- Proficiency in Python (and/or R, Scala) for data and AI workloads.- Experience with data engineering tools and orchestration frameworks.- Strong familiarity with cloud platforms for deploying AI and data solutions.- Understanding of MLOps practices.- Experience with data modeling, data lakes, and data pipeline architecture.Leadership & Mindset:- Ability to lead and mentor technical teams.- Consulting mindset with effective communication skills.- Empathetic leadership style.- Comfortable in fast-paced, client-facing environments.Nice to Have:- Experience with LLM fine-tuning and optimization.- Strong hands-on experience with Databricks.- Exposure to agentic AI frameworks.- Certifications in cloud or AI/ML specializations.- Experience in growing Data & AI teams within a consulting environment.Join us at CoffeeBeans Consulting for the chance to shape and enhance our Data & AI practice, work with diverse clients on significant and challenging projects, and be part of a collaborative culture that prioritizes people, growth, and learning. Competitive compensation and opportunities for career advancement await you.,

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Data Engineering, SQL, Performance optimization, Spark, Hive, Azure, AWS, GCP, ADF, DynamoDB, Unit testing, Integration testing, Communication skills, DBT, Docker, Kubernetes,Delta lake, dbConnect, db API 20, Databricks workflows orchestration, Databricks Lakehouse, Data pipeline, Data structure algorithms, SparkSQL, ADLS, S3, Lambda, CosmosDB, ASB, SQS, Cloud databases, CICD, Migration project

Analytics, Product Management, SLAs, Monitoring, Automated Testing, Data Science, Angular, Python, Java, SQL, AWS, GCP, Google Analytics, Agile Methodologies, Scrum, Kanban, Design Thinking,SRE, AI, Data Platform, Site Reliability Engineering, KPIs, AB Testing, Incident Response, User Feedback Collection, Customer Success, Code Reviews, Deployment Processes, Technical Feasibility, React, Vuejs, Nodejs, Amplitude, Mixpanel

ETL, Glue, Athena, IAM,Lambda, Step Functions, S3, Redshift, CICD, CodePipeline, CodeBuild, CodeDeploy

Team Leadership, Data Warehousing, Data Quality, Database Management, BI Tools, Analytics, Python, SQL, Airflow, DBT, Git, Snowflake, Hive, Spark, Presto, NLP, Computer Vision, Power BI, AWS, Glue, Salesforce,Data Visualizations, Data Pipelines, S3, Lambda, CloudWatch, Remote Team Management

Data Engineering, SQL, Performance optimization, Spark, Hive, Azure, AWS, GCP, ADF, DynamoDB, Unit testing, Integration testing, Communication skills, DBT, Docker, Kubernetes,Delta lake, dbConnect, db API 20, Databricks workflows orchestration, Databricks Lakehouse, Data pipeline, Data structure algorithms, SparkSQL, ADLS, S3, Lambda, CosmosDB, ASB, SQS, Cloud databases, CICD, Migration project

Analytics, Product Management, SLAs, Monitoring, Automated Testing, Data Science, Angular, Python, Java, SQL, AWS, GCP, Google Analytics, Agile Methodologies, Scrum, Kanban, Design Thinking,SRE, AI, Data Platform, Site Reliability Engineering, KPIs, AB Testing, Incident Response, User Feedback Collection, Customer Success, Code Reviews, Deployment Processes, Technical Feasibility, React, Vuejs, Nodejs, Amplitude, Mixpanel

ETL, Glue, Athena, IAM,Lambda, Step Functions, S3, Redshift, CICD, CodePipeline, CodeBuild, CodeDeploy

Team Leadership, Data Warehousing, Data Quality, Database Management, BI Tools, Analytics, Python, SQL, Airflow, DBT, Git, Snowflake, Hive, Spark, Presto, NLP, Computer Vision, Power BI, AWS, Glue, Salesforce,Data Visualizations, Data Pipelines, S3, Lambda, CloudWatch, Remote Team Management