Title: Senior Data Consultant - KLabs (ZL3RS)
Company Overview
KASIKORN Business-Technology Group (KBTG) is a tech arm of KBank. At KBTG, we never cease to develop financial technologies and wide-ranging digital banking services. We are the driving force behind KBank's success, as well as the pioneer of world-class innovations. Utilizing our expertise in fintech, combined with the new generation's outside-the-box thinking, KBTG strives to become the best tech organization of Southeast Asia by 2025.
Learn more about KBTG: http://www.kbtg.tech
MAKE by KBank แอปพลิเคชันจัดการด้านการเงินที่ครอบคลุมการทำธุรกรรม จาก KBTG มีความมุ่งมั่นที่จะช่วยให้คนไทยทุกคนสามารถเริ่มต้นจัดการเงินด้วยตัวเองได้ง่ายๆ โดยมีฟีเจอร์เด่นคือ ฟีเจอร์ Cloud Pocket หนึ่งบัญชีสามารถแบ่งได้หลายกระเป๋า สร้างได้ไม่จำกัด แบ่งเงินได้ตามเป้าหมายต้องการ เช่น กระเป๋าสำหรับเก็บเงิน กระเป๋าสำหรับค่าใช้จ่าย กระเป๋าสำหรับไปเที่ยว นอกเหนือจากการจัดการเงินแล้วยังสามารถทำธุรกรรมได้ครบถ้วน ไม่ว่าจะเป็น ฝาก ถอน โอน จ่ายบิล สแกน QR ต่างๆ เทียบเท่าการใช้งาน Mobile Banking ทั่วไป ตอบโจทย์คนรุ่นใหม่ กลุ่มคนที่มีเป้าหมายและอยากมีเงินเก็บ
Learn more about MAKE by KBANK: https://makebykbank.kbtg.tech/
Short Description
Job Description
Become Our: Senior Data Consultant
Why You’ll Love Being Part of Our Team
Join KBTG – where innovation drives impact! With a purposeful mission, collaborative spirit, and a positive attitude, we create fintech solutions that empower. Be part of the future.
How You’ll Make an Impact
- Datalake Product Ownership
- Define and communicate a clear vision, strategy, and roadmap for the data lake product, aligning with overall business objectives and data strategy.
- Act as the single point of contact between business stakeholders, data engineers, engineering team, and data analysts for data platform priorities.
- Manage the data lake backlog, prioritize initiatives, and ensure delivery aligns with company strategy.
- Translate business questions into data requirements and prioritize accordingly.
- Identify gaps and continuously enhance data products for advanced analytics and machine learning use cases.
- Data Platform & Tools Management
- Collaborate closely with data engineers to design, develop, and optimize efficient and scalable ETL (Extract, Transform, Load) pipelines for ingesting and transforming data into the data lake.
- Collaborate closely with data engineers to design, develop, and optimize efficient and scalable ETL (Extract, Transform, Load) pipelines for ingesting/ transforming data into the data lake and ensure timely, accurate, and efficient data ingestion.
- Evaluate and implement tools to support data analysts (e.g., Tableau, SQL optimization, data quality frameworks).
- Provide guidance and support to data analysts on best practices for data consumption from the data lake.
- Monitor platform cost and performance, ensuring efficient usage of cloud resources.
- Collaboration & Governance
- Ensure data quality, integrity, and governance practices are maintained across all data pipelines to ensure high data quality, security, and compliance.
- Partner with product, engineering, and strategy teams to support new feature launches with reliable data.
- Identify and implement opportunities for automation, performance tuning, and cost optimization of data ingestion and transformation processes.
- Conduct stakeholder communication through product updates, demos, and documentation.
#LI-DNI
Job Qualification
What Will Set You Up for Success
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related quantitative field.
- 3+ years of experience in data consulting, data analyst, product ownership, or data engineering roles.
- Proven track record of defining and delivering in cloud data environments (GCP preferred).
- Solid understanding of data lake concepts, architecture, and best practices (e.g., data ingestion patterns, data partitioning, data cataloging, metadata management).
- Strong SQL and Python for data wrangling.
- Hands-on experience with ETL pipeline design and optimization.
- Familiarity with Google Cloud (BigQuery, Dataflow, Pub/Sub, Composer, etc.).
- Familiarity with data visualization and business intelligence tools (e.g., Looker, Tableau, Power BI).
- Excellent communication, interpersonal, and stakeholder management abilities.
- Strong product ownership mindset — balancing business value and technical feasibility.
- Proactive problem solver with the ability to operate in a lean team/startup environment.