1. 株式会社Sales Marker 採用情報
  2. 株式会社Sales Marker の求人一覧
  3. Data Engineer
Data Engineer | 株式会社Sales Marker

About Us

At Sales Marker, our mission is to create a world where all people and companies can challenge themselves beyond existing boundaries. We’re one of the fastest growing start-ups in Japan and we ranked No.1 in Japan for the SaaS Startups Employee Growth Rate Ranking.

We’re growing at a speed that is twice as fast as Unicorn startups. By using our product, sales teams can improve their work efficiency by 3 times. We have achieved over 900% YoY business growth rate in 2.5 years since our flagship product 「Sales Marker」 was released and we’re currently actively working on a wide range of new product portfolios.

The Team

Our co-founders are from top companies in Japan and the world such as NRI, Keyence, LINE, Microsoft, and PwC. They were selected as 「FORBES 30 UNDER 30 ASIA LIST」 in 2023 . In our Engineering & Product team, we have members from more than 16 countries and they come from top tech companies in the world such as Google, Microsoft, Indeed, and famous tech companies in Japan such as Mercari, LINE, Yahoo, Smartnews, etc. 

Your Job

Responsibilities

Mainly responsible for building data collection pipelines and infrastructure, focusing on gathering, cleansing, and modeling unstructured data from the internet, and preparing it for use in products. The data collection system is fully frameworked, eliminating the need to start from scratch each time. Instead, a system is in place that automatically performs data cleansing and modeling by simply aligning inputs and outputs.

Recently, with the growing size of the data, involvement in building data platforms and implementing distributed systems has increased. The data engineering team also conducts analysis, providing opportunities to engage in data analytics and data science if desired. A strong emphasis is placed on the application of Large Language Models (LLMs), with ongoing projects focused on exploring how LLMs can be used to process complex, unstructured data.

Requirements

  • Experience in web scraping
  • Experience in data cleansing
  • Experience in data modeling
  • Experience in ETL
  • Experience with databases (MySQL, MongoDB)
  • Experience in data extraction from unstructured data
  • Business-level English and reading/writing Japanese

Nice to Have

  • Experience in Natural Language Processing (NLP) and Machine Learning
  • Experience in streaming data processing
  • Experience in building and operating data platforms
  • Development experience outside of work, including OSS contributions
  • Native level Japanese
  • Experience with data visualization tools (Tableau, Power BI, D3.js, etc.)
  • Experience using LLMs in products (e.g., OpenAI)

Our Tech Stack

[Front-end]
- TypeScript, React;
- Libraries: Storybook, jest;
- Hosting: Amplify

[Server Side/Back-End]
- Infrastructure: AWS, ElasticBeanstalk;
- DB: Aurora, ElasticSearch;
- Languages: Node.js, Python;
- Framework: Express;
- Monitoring: DataDog;
- Others: AWS Lambda, AWS Batch, AWS API GateWay, AWS Glue

[Data Analysis]
- OpenAI
- Amazon Bedrock
- OpenSearch
- SageMaker
- Athena
- Glue

Why Us?

  • One of the fastest growing Saas startup in Japan with strong financial growth
  • Innovative new product development and opportunity to build things from scratch.
  • Plenty of leadership and career development opportunities.
  • Full remote-friendly & full flexible work schedules.
  • Global team and English speaking environment.
  • Great benefits & perks packages such as Resort Worx, Purchasing Books, Free Weekly Lunch, Offsites, etc.

Working Style

● Remote Work
We’re remote friendly. We use Zoom and Meet, and recently introduced the virtual office platform Gather to maintain both the quality and quantity of communication while working remotely, ensuring smooth development and operations. We also rent a WeWork office, so coming to the office every day is possible if you prefer.

● Flexible Work
You are free to customize your daily working hours.Taking into account the situation within the company and your team, you will manage your schedule and tasks within reasonable limits. Each employee adjusts their working hours to meet the monthly requirement of 8 hours per working day.

● Work-Life Balance
We value a healthy work-life balance.Whether you want to focus heavily on work or prioritize your personal time, we believe this is an environment where both approaches can thrive.

Read More

■Career Page: https://sales-marker.jp/corporate/en/
■Culture Book: https://speakerdeck.com/salesmarker/sales-marker-culturebook-en
■YouTube: https://www.youtube.com/watch?v=Ob8Ds06zwo0

職種 / 募集ポジション Data Engineer
雇用形態 正社員
契約期間
【Contract Type】
Permanent
給与
年収
【Additional Notes about Compensation】
※The actual offer will be decided based on your experiences and skills.
勤務地
  • 150-6032  Level 32, Yebisu Garden Place Tower, 4-20-3 Ebisu, Shibuya-ku, Tokyo
    地図で確認
【Office Location】
5 minutes walk from the east exit of Ebisu Station on the JR Yamanote Line
7 minutes walk from Exit 1 of Ebisu Station on the Tokyo Metro Hibiya Line

Full remote work is OK!
勤務時間
【Working Hours】
Full Flexible with no core hours
休日
【Holidays & Vacations】
- Holidays: Saturdays, Sundays, and national holidays; 
- Paid Time-off: 10 days of annual paid leave will be granted after six months of employment.
福利厚生
【Benefits and Perks】

■Medical checkup

■Travel allowance

■Others
High-performance Macbook
Book purchase allowance 
Wantedly Perk
Uber Eats Coupon Grant
Resort Works
加入保険
【Social Insurances】
All types of insurances are covered (Health insurance, employee pension, workers' accident compensation insurance, unemployment insurance)
受動喫煙対策
【Second-hand smoking policy】
No smoking inside the building
Probation Period
6 months (same conditions during probationary period)
会社情報
会社名 株式会社Sales Marker
設立年月
2021年7月29日
本社所在地
〒150‐6032
東京都渋谷区恵比寿4-20-3 恵比寿ガーデンプレイスタワー32F
資本金
1億円
従業員数
270名(取締役4名+正社員170名+業務委託80名)