Senior Data Engineer (Integrations)

Jobgether; Remote; MYR 283,000 - 405,000; Full time

Job summary

A technology recruitment partner is looking for a Senior Data Engineer Integrations in Malaysia. You will design and operate data frameworks that enable advanced blockchain analytics. Responsibilities include building reliable data pipelines and collaborating in a remote-first setting. Ideal candidates have expertise in Python, SQL, and experience with systems like ClickHouse. Enjoy a flexible working model and play a key role in solving data challenges in a growing sector.

Benefits

Competitive compensation package

Flexible working model

Opportunity to work on massive-scale data challenges

Qualifications

• Proven experience building and operating production-grade data pipelines.
• Strong fundamentals in data and software engineering.
• Hands-on experience with ClickHouse and dbt.

Responsibilities

• Design, build, and scale high-performance data pipelines.
• Own the full lifecycle of data pipelines.
• Collaborate with downstream data consumers.

Skills

Python

SQL

ClickHouse

dbt

Data Engineering

Job description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer Integrations in Malaysia.

In this role, you will help design and operate the data backbone that powers advanced blockchain analytics products used by teams and customers worldwide. You will focus on building reliable, scalable ingestion pipelines and well-modeled core datasets that others can confidently build on. Working at the intersection of data and software engineering, you will own systems that handle large volumes of streaming and batch data with a strong emphasis on correctness and stability. You will collaborate closely with engineers, analysts, and product teams in a remote-first, high-autonomy environment. This position offers meaningful ownership, technical depth, and the opportunity to solve foundational data challenges in a fast-evolving industry. It is ideal for engineers who value impact, quality, and pragmatic execution.

Accountabilities

• Design, build, and scale high-performance data pipelines and infrastructure using technologies such as ClickHouse, Python, and dbt
• Own the full lifecycle of data pipelines, from raw ingestion through transformation to clean, well-defined datasets
• Build and operate systems that support large-scale streaming and batch processing with strong guarantees around correctness and reliability
• Improve observability, data quality checks, and failure handling to ensure predictable performance at scale
• Collaborate with downstream data consumers to define clear dataset contracts, schemas, and usage patterns
• Contribute to core datasets that serve as long-lived foundations for analytics, product features, and research
• Leverage AI-powered development tools and agents to accelerate delivery, automate repetitive tasks, and improve code quality
• Continuously evolve tooling and practices by staying current with modern data engineering approaches

Requirements

• Proven experience building and operating production-grade data pipelines that run continuously and reliably
• Strong fundamentals in data and software engineering, with deep expertise in Python and SQL
• Hands‑on production experience with ClickHouse and dbt
• Solid understanding of streaming and batch ingestion patterns, including backfills, reprocessing, and schema evolution
• Comfort working across the full data stack, including ingestion, transformation, storage, and exposure to downstream systems
• Experience designing clean, reusable datasets intended for broad internal consumption
• Familiarity with using AI‑assisted development tools in daily workflows, or strong curiosity to adopt them
• Clear written and verbal communication skills suited to remote‑first and asynchronous collaboration
• Pragmatic, ownership‑driven mindset with the ability to execute in complex environments
• Experience with, or strong interest in, blockchain data, crypto ecosystems, and Web3 technologies

Benefits

• Competitive compensation package aligned with a remote‑first setup
• Flexible working model with autonomy over schedule and execution
• Opportunity to work on massive‑scale data challenges in a rapidly growing industry
• High‑impact role with influence on technical and product direction
• Collaborative culture that values ownership, execution, and continuous improvement

We appreciate your interest and wish you the best!