Data Engineer (From 3 years KN)

Role Overview

Collaborate with Agile product teams to design, develop, and support full-stack data solutions that directly impact millions of mobile banking users.

What You Will Do

Design and evolve enterprise Data Platform with Data Vault 2.0, build high-throughput data pipelines, create scalable ingestion and transformation layers, and ensure enterprise-grade data quality and governance.

Why It Might Be a Fit

Partner closely with mobile app teams, data scientists, and business stakeholders to translate digital banking requirements into production-grade data products.

Requirements

• Bachelor’s Degree in Computer Science, Engineering, or a related field
• Solid experience (typically 3+ years equivalent) in data engineering using Python, SQL, Spark / PySpark/
• Solid understanding of digital banking data domains (T24 data, mobile transactions, banking products, app events, customer behavior, corporate banking flows)
• Proven hands-on experience with Google Cloud Platform (GCP), particularly BigQuery as a core data warehouse/lakehouse solution
• Strong background in building and operating big data pipelines, including real-time/near-real-time processing with Spark, Spark Streaming, or equivalent frameworks
• Practical experience with real-time streaming technologies (Spark Streaming, Flink, Kafka Streams) and workflow orchestration (Airflow)
• Proficiency in dbt for data transformations, Python/PySpark development, and modern data warehouse/lakehouse approaches
• Expertise in scalable data modeling — Data Vault 2.0 strongly preferred (or demonstrated success delivering agile, auditable enterprise data models such as medallion or lakehouse patterns)
• Familiarity with data governance, lineage practices, and compliance requirements in a regulated banking environment
• Experience designing, developing, and optimizing RESTful APIs and/or GraphQL APIs (including schema design, performance tuning, versioning, security, rate limiting, and integration with mobile/web frontends or microservices)
• Experience leveraging AI copilots and hands-on familiarity with AI agents (e.g., GitHub Copilot, Claude Code, OpenClaw, …) to accelerate development, code review, and pipeline automation.

Benefits

• Negotiable salary depending on experience & skills (Upto 45M)
• 13th-month salary
• Opportunity to work in a professional, modern and energizing setting
• Challenging projects, possibilities, cutting-edge technology, and problems
• An open and dynamic working atmosphere that promotes the interchange of ideas, while also empowering you to work and create in your own style
• Opportunities for capacity development, as well as assistance with professional certification expenses, are available to those who work in the field (1 million – 5 million)
• Some advanced certifications will cover the full cost of studying and taking the exam
• Review salary 1-2 times/year, with the possibility of an unexpected salary rise based on capacity an infinite number of times per year
• Policy for 13th-Month Salary Bonus and Holiday Bonuses According to Company Regulations
• Holiday travel mode, team building,…
• Full participation in social insurance, as well as a yearly health checkup at a reputable hospital
• Comprehensive visit policy for personnel and relatives: birthday, marriage, childbirth, illness, etc.
• Allowance for classes and training awards: Learning Star of the Month,…
• A chance to be the face of the year’s study, the royalties…