Data & AI Consultant – Databricks

Accenture Malaysia; Kuala Lumpur; On-site; MYR 120,000 - 190,000; Full time

Job summary

Accenture Malaysia is seeking a Data & AI Consultant specializing in Databricks to design and implement modern data platforms. You will work with cross‑functional teams to enable analytics, AI use cases and enterprise data governance within cloud environments.

Qualified candidates bring hands‑on data engineering experience with Databricks, Python, SQL, and Spark, plus a track record in building scalable pipelines and lakehouse architectures.

Qualifications

• Hands-on experience in modern Data Engineering and Data & AI transformation.
• Core Technical Skills include Databricks, Python, SQL, and Spark/PySpark.
• Cloud platforms and data governance concepts are advantageous.

Responsibilities

• Design and implement scalable data solutions using the Databricks Lakehouse Platform.
• Build and optimise ETL/ELT pipelines for large-scale data processing.
• Develop data engineering solutions using Python, SQL, Spark/PySpark.

Skills

Databricks

Python

SQL

Apache Spark/PySpark

ETL/ELT development

Data modelling

Lakehouse architecture

Cloud platforms

Education

Bachelor's degree in Computer Science, IT, Engineering, Data Science or related

Tools

Databricks Lakehouse Platform

Delta Lake

Unity Catalog

Databricks notebooks

Job description

About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions — underpinned by the world’s largest delivery network — Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 492,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com

About Accenture: Accenture is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions — underpinned by the world’s largest delivery network — Accenture works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With 492,000 people serving clients in more than 120 countries, Accenture drives innovation to improve the way the world works and lives. Visit us at www.accenture.com

Practice Overview

Our Technology Consulting practice helps clients reimagine their technology and data landscape by designing and implementing modern, scalable and cloud-enabled solutions.

We are looking for professionals with Databricks and Data Engineering experience to support our growing Data & AI capabilities.

You will work with clients to modernize their data platforms, build scalable data pipelines and lakehouse solutions, enable enterprise analytics and AI use cases, and support their broader data transformation journey.

Key Responsibilities

As a Data & AI Consultant specialising in Databricks, you will work with multidisciplinary teams across business, data, cloud and technology to design and implement modern data solutions.

Your responsibilities may include:

• Design, develop and implement scalable data solutions using the Databricks Lakehouse Platform.
• Build and optimise ETL / ELT pipelines for large-scale data processing and transformation.
• Develop data engineering solutions using Python, SQL, Apache Spark and/or PySpark.
• Design and implement modern data lake, lakehouse and cloud data warehouse architectures.
• Work with Delta Lake for reliable and scalable data storage and processing.
• Support enterprise data governance, access management and data discovery using technologies such as Unity Catalog.
• Integrate Databricks with cloud platforms such as Microsoft Azure, AWS or Google Cloud Platform.
• Support organizations in modernising legacy data platforms and migrating data workloads to cloud-based architectures.
• Design data models and transformation processes that enable analytics, reporting, machine learning and AI use cases.
• Assess existing client data environments and recommend target‑state architectures and transformation roadmaps.
• Translate business and technical requirements into scalable data solutions.
• Work with business stakeholders, architects, engineers and delivery teams throughout the solution lifecycle.
• Participate in client workshops, technical discussions, solution design sessions and architecture reviews.
• Identify and resolve complex data and technology challenges.
• Contribute to proposals, solution development, proof‑of‑concepts and client presentations.
• Support the development of reusable Data & AI assets, accelerators and best practices.
• Where applicable, contribute to Machine Learning, Generative AI and AI-driven workloads running on Databricks.

Required Qualifications & Experience

We are looking for candidates with hands‑on experience in one or more areas of modern Data Engineering and Data & AI transformation.

Core Technical Skills

Candidates should have experience with:

• Databricks
• Python
• SQL
• Apache Spark and/or PySpark
• ETL / ELT and data pipeline development
• Data modelling and transformation
• Data Lake / Lakehouse architecture
• Cloud-based data platforms

Databricks Experience

Relevant experience may include:

• Development using the Databricks Lakehouse Platform
• Building and managing Databricks data pipelines
• Delta Lake
• Unity Catalog
• Databricks notebooks and workflows
• Data governance and access management
• Performance optimisation
• Batch and/or streaming data processing
• Integration of Databricks with enterprise data ecosystems

Experience with related cloud data services, data lakes, data warehouses and integration technologies is an advantage.

Education & Certifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science or another relevant discipline.
• Relevant Databricks certifications are an advantage.
• Cloud certifications across Microsoft Azure, AWS or Google Cloud Platform are an advantage.
• Certifications related to Data Engineering, Data Architecture or Data Management are also advantageous.

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent‑and innovation‑led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us atwww.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.