Software Engineer_Data Infrastructure

株式会社マクロミル

この会社の求人 46件

掲載中・1日前に確認

800〜1200万円/年

※ 募集要項に記載のレンジ。実額は選考で決まります

下限は東京都のデータエンジニアの求人の中央値（600万円）より200万円高い

勤務地: 東京都
休日: 年間休日120日
雇用形態: 正社員

どんな仕事かAIによる生成

This Data Infrastructure Engineer will design, build, and optimize high-performance data infrastructure and pipelines, transforming raw, unstructured data into reliable, scalable, and accessible systems. The role includes improving ETL processes and data quality, exploring new technologies, and working with data scientists, analysts, and product teams to support data-driven decision-making.

応募資格・募集要項・仕事内容を見る

この求人に応募

給与800〜1200万円/年

募集元で応募する株式会社マクロミルの採用ページへ

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応募資格

必須

Hands-on experience with at least one major cloud platform (GCP preferred, AWS, or Azure), including infrastructure components like storage (e.g., BigQuery, S3), compute resources (e.g., Kubernetes, Dataproc), and networking.
Strong proficiency in one or more programming languages (Python, Java, or Scala) with experience building complex data processing solutions.
Advanced SQL skills, including query optimization and data warehousing techniques for high-volume data environments.
Familiarity with big data frameworks and tools, such as Apache Spark, Hadoop, or Kafka, and experience implementing both batch and real-time processing solutions.
Proven track record of designing and building ETL/ELT processes and data workflows for high-volume data in production environments.
Understanding of data governance practices, data quality management, and setting up automated validation and monitoring for data integrity.

歓迎

Deep knowledge of distributed systems, including understanding of scalability, fault tolerance, and reliability in data systems, with hands-on experience in technologies like Spark, Flink, or Kafka Streams.
Experience with workflow orchestration tools like Apache Airflow or Google Cloud Composer for managing complex data pipelines and automated workflows.
Proficiency in containerization and orchestration (e.g., Docker, Kubernetes) and familiarity with DevOps practices for CI/CD, automation, and deployment in cloud environments.
Familiarity with data security best practices, including data encryption, role-based access control, and industry compliance standards (e.g., GDPR).
Experience with data monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, DataDog) to ensure data infrastructure reliability and performance.
Experience leading technical projects or initiatives, with a demonstrated ability to make architectural decisions, mentor junior engineers, and drive best practices across teams.

求める人物像

A collaborative and proactive team player who can thrive in a fast-paced environment.
A detail-oriented professional with a strong commitment to data accuracy and quality.
An analytical thinker who can troubleshoot complex data pipeline issues with creative problem-solving.
A lifelong learner who is enthusiastic about exploring new tools, techniques, and trends in data engineering.
Someone passionate about transforming raw data into actionable insights that drive real business impact.

募集要項最終確認 11/9

職種: データエンジニア
雇用形態: 正社員Type of Employment Permanent / Regular employee
給与: 800〜1200万円/年
給与の詳細: 年収 800万円〜1,200万円 Annual Salary From ¥8,000,000 to ¥12,000,000 Monthly Salary ¥667,000-¥1,000,000 Job allowance calculated based on the monthly salary is included. (Example ¥107,000 for ¥667000, ¥170,000 for ¥1000000)Once a year (July)Once a year (September/Performance-Based Bonus)
手当: Job allowancecalculated based on the monthly salary is included. (Example ¥107,000 for ¥667000, ¥170,000 for ¥1000000)Commutefully coveredRemote workLate night work10pm - 5amWork on holidaysRewards based on various MVP programs
勤務地: HQ Shinagawa / Shinagawa East One Tower 11F, 2-16-1 Konan, Minato-ku, TokyoMacromill Base Fukuoka / 14F Tenjin Business Center, 1-10-20 Tenjin, Chuo-ku, Fukuoka-shi, Fukuoka
働き方: 記載なし
勤務時間: Discretionary Labor System ※ Deemed working hours per day ; 8 hrs
年間休日: 120日
休日・休暇: SaturdaysSundaysJapanese National HolidaysGolden weekSummer and year-end holidaysannual paid holidays (10 days for the first year)Congratulations and condolences leaveschildbirth and childcare leavesHappy Holiday(6 days per year as Special paid holidays)Thanks Holiday (Refresh Holiday for long-term service)120 or more days-off annualy
福利厚生: various recreational and sports facilities are availablePreferential access to restaurants, etc.Provision of condolence or congratulatory fundsOptional Defined Contribution Pension PlanGroup Long Term Disability insurance
社会保険: Variety of insurance and pension are set based on Japan Law.
選考の流れ: (1) CV Screening (2) 1st Interview : Hiring Manager, Leadership members, HR, etc. (3) 2nd Interview & Coding Test (4) Final Interview : Leardership members, Division Head, etc. ※　Depending on the selection situtaion, the interviewer and the number of interviews may change.
掲載日: 2026/09/24 03:52（47日前）
最終確認: 2026/11/09 00:50（1日前）

仕事内容

About the Job

As a Data Infrastructure Engineer, you’ll take ownership of designing, building, and optimizing high-performance data infrastructure and pipelines. You’ll work on transforming raw, unstructured data into reliable, scalable, and accessible systems that support key business initiatives and data products.
Architect and implement large-scale data systems to ensure high performance, reliability, and scalability.
Enhance ETL processes, ensuring efficient data movement, quality, and availability.
Establish and maintain data quality standards, automated validation, and monitoring for data integrity.
Identify and experiment with new technologies, driving innovation and tool selection for scalable solutions.
Lead by example, mentoring junior engineers, and sharing best practices to elevate the team’s technical capabilities.
Work closely with data scientists, analysts, and product teams to define infrastructure needs and support data-driven decision-making.

Why Join Us

Lead critical infrastructure projects, shaping the future of data at Macromill.
Handle vast amounts of data in both streaming and batch environments, playing a key role in turning raw, unstructured data into valuable business insights. You’ll have the chance to create and optimize systems that process high-volume data efficiently and reliably.
Experiment with and implement cutting-edge technologies, driving rapid iteration and innovation in data systems.
Work with state-of-the-art tools, cloud platforms, and big data frameworks to build scalable, high-performance infrastructure.
Opportunities for leadership, mentorship, and professional development in a fast-evolving environment.
Represent Macromill at technical events, building both your personal brand and the company’s reputation within the tech community.

この求人は、株式会社マクロミルの採用ページの内容をAIが読み取って整理したものです。応募の前に採用ページの原文を確かめてください。データの集め方企業サイト