---
title: 'Senior Software Engineer, Data Backend at Appier'
canonical: 'https://feeny.ai/job/senior-software-engineer-data-backend-appier-taipei-zv4njrkwc48a'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Software Engineer, Data Backend at Appier

- **Company:** Appier
- **Location:** Taipei, Taiwan
- **Posted:** 2026-08-20
- **Last confirmed live:** 2026-09-07
- **Apply:** https://job-boards.greenhouse.io/appier/jobs/8143583

## Job description

## About Appier

Appier is an AI-native Agentic AI as a Service (AaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. Our EDP team builds core data backend capabilities that power critical product experiences across ingestion, profile processing, and serving.

## About the role

We are hiring a Senior Software Engineer, Data Backend to design and operate production-grade data backend systems at scale. This role combines backend service engineering and data platform engineering, with strong focus on reliability, performance, and cost efficiency in a cloud-native environment.

You will work on high-throughput APIs/services, as well as data processing and workflow components in Python/Spark/SQL, partnering closely with product, platform, and data teams.

## What you will do

- Design, build, and maintain backend services and data platform components.
- Develop and optimize streaming and batch data workflows, orchestrated with Airflow and Lakeflow.
- Model and maintain Lakehouse data layers (bronze/silver/gold) to ensure data quality and consistency.
- Improve data quality and consistency through schema/contracts and validation mechanisms.
- Diagnose and resolve production issues across service and data layers.
- Drive performance and cost optimization initiatives for large-scale workloads.
- Collaborate across teams to deliver roadmap milestones.
- Mentor engineers and contribute to engineering standards and review culture.

## About you

[Minimum qualifications]

- 4+ years of software engineering experience in backend/data-intensive systems.
- Strong proficiency in Python (required).
- Strong proficiency in Spark/SQL (required).
- Hands-on experience with distributed data systems (e.g., Spark/Databricks, Kafka).
- Experience operating services/pipelines in cloud production environments (GCP preferred).
- Solid understanding of reliability practices: observability, on-call, incident response.
- Strong communication and ownership; able to drive ambiguous projects to completion.

[Preferred qualifications]

- Experience with Databricks/Delta Lake/Lakehouse architectures.
- Experience with Kubernetes/GKE and Terraform/IaC.
- Experience with data governance (lineage, access control, PII handling).
- Experience with identity/profile systems (entity resolution, merge logic).
- Experience with FinOps/cost optimization for platform workloads.
- Scala/Java experience for Spark ecosystem optimization is a plus.

[Language]

Fluent in English.

## Why join us

- Work on high-impact, business-critical data backend systems.
- Own real production outcomes across scale, quality, and cost.
- Collaborate with strong cross-functional teams in AI + data.
- Grow technical leadership while staying hands-on.
- Work with a modern data stack.

Open to overseas candidates/Visa Support This position is open to based in Taipei, Taiwan.

## #LI-TC1

## About Appier

## Company Overview
- **One-liner**: Appier is an AI-native Agentic AI as a Service (AaaS) company that empowers businesses to turn AI into ROI through cutting-edge AdTech and MarTech solutions.
- **Entity Type**: Public (Tokyo Stock Exchange, ticker 4180)
- **Headquarters**: Taipei, Taiwan (with 17 offices globally including San Francisco)
- **Founded**: 2012
- **Founders**: Chih-Han Yu (CEO), Wan-Ling Lee (COO), Ming-Yu Chen (CSO), Chia-Yung Su (CTO), Che-Hsu Chang (CIO)

## Core Business
- **Primary industry**: AI-powered advertising technology (AdTech) and marketing technology (MarTech)
- **Target customers**: B2B – primarily enterprise and SMB businesses seeking AI-driven marketing automation, customer data platforms, and programmatic advertising
- **Mission**: "Making AI Easy" – helping businesses turn Agentic AI into ROI

## Products & Services
- **Ad Cloud**: Performance-driven advertising platform that automates creative testing, audience targeting, and campaign optimization to maximize ROAS.
- **Personalization Cloud**: Cross-channel customer engagement platform that personalizes every touchpoint using real-time AI adaptation (includes AIQUA).
- **Data Cloud (AIRIS)**: AI-powered Customer Data Platform (CDP) that centralizes, segments, and activates data for unified audience intelligence and real-time decision-making.
- **Other tools**: Aictivate (mobile gamer re-engagement), CrossX (advertising solution), BotBonnie (conversational marketing platform), AdCreative.ai (generative AI creative generation).

## Market Standing
- **Valuation/Cap**: Market capitalization not publicly available in the search results; company is listed on the Tokyo Stock Exchange (Prime section since 2025).
- **Key Metrics**: Total funding raised (estimated from disclosed rounds): ~$142M+ (Series A $6M, Series B1 $23M, Series C $33M, Series D $80M). Annual revenue not disclosed.
- **Notable Investors/Partners**: Sequoia Capital, SoftBank Group, LINE Corporation, NAVER, EDBI, AMTD Group, TGVest Capital, HOPU-ARM Innovation Fund, Temasek’s Pavilion Capital, JAFCO Asia/Investment, UMC Capital, TransLink Capital, MediaTek Ventures, Fontaine Capital, UOB Venture Management.
- **Growth Signals**: Expanded from 4-person start-up to 17 offices globally, serves 1,800+ customers, acquired Woopra (2022), BotBonnie, QGraph, Emin, AdCreative.ai; ranked top ROI-driving ad partner by Singular for two consecutive years; moved to TSE Prime listing in 2025.

## Competitive Advantages
- **Deep AI R&D**: 70% of R&D staff hold PhDs or Master’s degrees in AI/Big Data, with 400+ academic publications.
- **Agentic AI Platform**: Autonomous, adaptive agents for advertising, personalization, and data – built on proprietary machine learning, deep learning, and generative AI.
- **Full-funnel coverage**: Combines AdTech and MarTech in a unified AI-native stack.
- **Global footprint with localised expertise**: Strong presence across APAC, Europe, and US enables cross-border scalability.

## Strategic Focus
- **Agentic AI expansion** – further develop autonomous AI agents across advertising, personalization, and data clouds.
- **Global growth** – strengthen presence in US and European markets following recent acquisitions (AdCreative.ai, Woopra).
- **Generative AI innovation** – incorporate generative AI into creative and campaign workflows.
- **Sustainability & governance** – Received “AA” MSCI ESG rating, integrating ESG into operations.

## Why Work Here
- **Culture**: “H-appier” framework – Hungry (ambitious, fearless), Humble (open-minded, adaptive), Happier (direct communication, diversity & inclusion, growth). Strong emphasis on execution excellence and customer centricity.
- **Remote/Hybrid/Office**: 17 offices globally; specific policy not detailed but positions are likely hybrid/office-based depending on role (many engineering jobs listed in San Francisco, Taipei, etc.).
- **Team**: 642 total employees (Built In estimate); engineering roles heavily weighted in AI/ML.
- **Perks & environment**: “Start a career, not a job” – career growth tools, collaborative environment, celebration of wins.

## Sources
1. [appier.com](https://www.appier.com/en/)
2. [appier.com/about](https://www.appier.com/en/about)
3. [appier.com/career](https://www.appier.com/en/about/career/)
4. [greenhouse.io](http://job-boards.greenhouse.io/appier)
5. [builtin.com](https://builtin.com/company/appier)

## Other roles at Appier

- [Data Scientist, Analytics - Tokyo,Japan.](https://feeny.ai/job/data-scientist-analytics-tokyo-japan-appier-tokyo-55tbhp1hk5yz) — Tokyo, Japan
- [Product Manager / Technical PM — Data Engineering](https://feeny.ai/job/product-manager-technical-pm-data-engineering-appier-taipei-m9wy0rzbmcgb) — Taipei, Taiwan
- [Assistant Manager of Business Enablement](https://feeny.ai/job/assistant-manager-of-business-enablement-appier-taipei-epwv22be5msh) — Taipei, Taiwan
- [Software Engineer, Ads Solutions](https://feeny.ai/job/software-engineer-ads-solutions-appier-taipei-33k53pkdee0x) — Taipei, Taiwan
- [Research Scientist (Generative & Agentic AI) - Tokyo,Japan.](https://feeny.ai/job/research-scientist-generative-agentic-ai-tokyo-japan-appier-tokyo-0fp9gmx6k9c5) — Tokyo, Japan
- [Digital Advertising Data Analyst](https://feeny.ai/job/digital-advertising-data-analyst-appier-taipei-hk4zaeyad3j2) — Taipei, Taiwan
- [PR Manager Taiwan](https://feeny.ai/job/pr-manager-taiwan-appier-taipei-k27aycfcah4q) — Taipei, Taiwan
- [AI Engineer, Playable Ads](https://feeny.ai/job/ai-engineer-playable-ads-appier-taipei-fn4kxb24c7qa) — Taipei, Taiwan
- [アカウントマネージャー｜AI広告・パフォーマンスマーケティング](https://feeny.ai/job/ai-appier-tokyo-gw28etys8gp7) — Tokyo, Japan
- [Senior HR C&B Specialist](https://feeny.ai/job/senior-hr-c-b-specialist-appier-taipei-hydcemfpbq5w) — Taipei, Taiwan