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Company Overview
A leading global professional services organization is seeking a Data Engineer within its Artificial Intelligence & Data team. The firm provides consulting, analytics, and intelligent automation solutions to clients across multiple industries, helping organizations leverage data, AI, and emerging technologies to drive business transformation, improve operational efficiency, and create actionable insights. The team focuses on delivering value through analytics, robotic process automation, AI-driven solutions, and business intelligence to public and private sector clients alike.
Work You’ll Do
This role is part of the Artificial Intelligence & Data team, encompassing data, analytics, and intelligent automation (IA). As a Data Engineer, you will:
Drive the growth of IA initiatives, including robotic process automation, intelligent character recognition, chatbots, virtual assistants, and AI solutions.
Apply emerging technologies to help clients maximize the value of their data and generate actionable business insights.
Design and implement data structures to support Big Data, analytical models, and traditional BI/DW reporting solutions using platforms such as Microsoft SQL, Oracle, SAP, Cloudera, IBM Watson, MuleSoft, Qlik, or Informatica.
Develop data integration solutions leveraging Data Governance, Data Quality, MDM, and Metadata management frameworks.
Apply analytical models to predict business outcomes using tools such as DataRobot and programming languages like Python or R.
Collaborate with clients across industries including Energy & Resources, Public Sector, Financial Services, Life Sciences & Healthcare, Consumer Business, Manufacturing, and Telecommunications.
Provide solutions that are both practical and visionary, impacting stakeholders from operational teams to the boardroom.
Recommend BI/DW/Analytics processes, governance, platform models, tool selections, and data integration strategies.
Participate in projects through all lifecycle phases including strategy, advisory, scoping, planning, requirements gathering, design, development, testing, training, and deployment.
Leadership Responsibilities
Actively seek developmental opportunities for personal and team growth and share knowledge with others.
Build cooperative relationships with colleagues and stakeholders, aligning work with organizational objectives.
Challenge yourself and collaborate with others to deliver results, taking accountability for outcomes.
Communicate effectively to positively influence teams and stakeholders, recognizing individual strengths and contributions.
Understand disruptive trends and promote opportunities for improvement, innovation, and client success.
Requirements
A good honors degree, preferably at postgraduate level, in Computer Science, Software Engineering, Statistics, Mathematics, or related fields.
Minimum 2 years (Analyst) or 4 years (Consultant) of relevant experience in a Big 4, MNC consulting, or equivalent industry role.
Strong programming experience in Scala, Python, or R.
Experience with non-relational data stores such as Pivotal, Cloudera, Hortonworks, MapR, or Oracle BDA.
Experience with relational databases including SQL, Oracle DB, Microsoft SQL Server, IBM Netezza, Teradata, or MySQL.
Building data ingestion and transformation pipelines using Big Data technologies including Spark, Hive, Pig, Kafka, MapReduce, HBase, Sqoop, Flume, or Storm.
Cloud Data Engineering experience.
Experience with Agile software engineering tools and methodologies.
Experience using Source Control Management tools such as Git, Subversion, or Mercurial.
General knowledge of Linux/Unix systems and Shell scripting.
Ability to interface directly with business and IT stakeholders.
Strong problem-solving skills, creative thinking, and ability to work under tight deadlines.
Drive, tenacity, client focus, and results orientation.
Excellent communication and presentation skills in English.
Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.
1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality. 2. No Client Relationship: This company is not a client of SpringCube unless stated. 3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job. 4. No Liability: SpringCube is not liable for inaccuracies.
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