Tokyo スキルハウス・スタッフィング・ソリューションズ株式会社
世界有数の保険サービスプロバイダーが、データエンジニアリングチームにて優秀なデータエンジニアを募集しています。

業務詳細
- グループ各社のデータアーキテクチャ/データモデル/データパイプラインの設計および最適化
- データ統合、データ取り込み、データクレンジングなど、データエンジニアリング領域において全ステークホルダーをリード・支援
- グループ全社共通のデータアーキテクチャ/データモデル/データパイプラインに関する設計・実装ガイドラインの策定および実装の統括

  • ETL/ELT、従来型RDB(Oracle/Sybase)、Hadoop/Kafka/Spark等のビッグデータ処理を含む、インフラ設計を含めたデータソリューションの提供・提案
- 分析および業務運用向けに、データモデル/データパイプライン/BIツール/データウェアハウス/データレイク/マスターデータ管理(MDM)などのデータソリューションの提供・提案
- データ関連アプリケーションの開発・機能改善、データモデリング、データパイプラインの実行責任
- 技術チームをリードし、データ要件を開発向けの技術仕様へ落とし込み、デリバリーを推進
- グローバルおよびローカル規制への準拠を目的に、コンプライアンスチームと連携してデータアーキテクチャ/データモデル/データパイプラインの実装を評価
- 実装済みのデータアーキテクチャ/データモデル/データパイプラインおよびワークフローを評価し、コスト効率と最新技術動向への追随を確保
- グループ各社にまたがるデータアーキテクチャ/データモデル/データパイプライン設計の可視化および最新化
- ベンダーからの成果物をレビューし、期待される品質を満たしているかを確認・受領
- データエンジニアとして、データ関連アプリケーションのエンドツーエンドのアプリケーションライフサイクル管理を担う技術リーダー
- データオフィスのビジネスステークホルダーと連携し、レガシーデータ資産の整理・合理化および新データ資産導入に伴う廃止計画を推進
- グローバルなデータ&アプリケーションデリバリーチームと密接に連携し、ビジネスおよび技術の両面でのデータデリバリーと、ビジネス主導の分析ソリューション実現を支援
- 販売・オペレーションチームと緊密に連携し、ニーズや優先事項を把握した上でビジネスソリューションへ落とし込む
- 事業成長の重要な要素である「将来のエージェント体験」構築における主要ステークホルダーとして参画

必須スキル
- 保険業界での実務経験 2~5年

  • IT全般に関する知識・経験 10年以上
- データ管理および/またはBI領域での実務経験 10年以上(直近はデータアプリケーションデリバリーの経験)

  • AWSクラウドに関する豊富な経験(ソリューションアーキテクト/データ領域など)
  • Salesforceの経験(ソリューションアーキテクト/データ領域など)
  • ITILの知識・経験
- クラウド(AWS、Azure、Snowflake、Spark)を含む最新データ基盤における情報資産の設計・構築、およびデータシステム移行の実績
- 複数の技術、インフラ、組織にまたがるデータ戦略の策定および運用経験
- 英語上級

ポジションの魅力
- 長期的なキャリア形成が可能なポジション
- グローバルなチームメンバーと連携できる環境
- 大規模プロジェクトや最新技術に携わる機会

会社概要
130か国以上で事業を展開するグローバル保険グループの一員です。法人、機関、個人向けに、世界でも有数の規模を誇る損害保険ネットワークを通じてサービスを提供しています。また、米国における生命保険および退職後サービスの主要プロバイダーでもあります。同社の株式はニューヨーク証券取引所および東京証券取引所に上場しています。日本法人は、グループの日本国内における事業をIT面から支援しています。

年収:1,000~1,200万円

勤務時間: 9:00 - 17:30(月~金)


勤務スタイル:
ハイブリッド(週4日出社、週1日リモート勤務)


休日休暇:
土日、祝日、年末年始、有給休暇`、他


待遇・福利厚生:
社会保険完備、厚生年金制度、交通費支給

A world's leading Insurance service provider, is looking for a talented Data Engineer in the Data Engineering Team.


Responsibilities:

  • Design and optimize data architecture/data model/data pipeline of group companies
  • Guide all stake holders in terms of data engineering such as data integration, data ingestion, data cleansing etc.
  • Create guidelines for design and implementation of group companywide data architecture / data model / data pipeline and oversee those implementations
  • Provide and propose data solutions such as ETL/ELT, traditional RDB (Oracle / Sybase), big data processing such as Hadoop / Kafka, Spark etc. including infrastructure design
  • Provide and propose data solutions such as Data model / Data Pipeline / BI tools / Data Ware House / Datalake / Master Data Management for analytics as well as business operations
  • Responsible for execution of Data related application development/enhancement, Data modeling, Data pipeline
  • Leads the technical team to understand and translate data requirements into consumable technical specifications for development delivery
  • Assess data architecture/data model/data pipeline implementation along with compliance team to comply with global and local regulations
  • Evaluate implemented data architecture/data model/data pipeline and workflow solutions to keep cost effective and to keep up with technology trend
  • Visualize data architecture/data model/data pipeline design across group companies and keep up to date
  • Reviews and accepts deliverables from vendors to meet expected quality
  • Data Engineer is a technical leader who owns the endtoend application lifecycle management of Data related applications
  • Partners with business stakeholders in the Data Office on the rationalization of legacy data assets and drive decommissioning plans as new data assets become available
  • Partners closely with both the Data & Application Delivery teams globally to ensure Business and Technical Data Delivery and the enablement of Business driven Analytical solutions
  • Work closely with the distribution and operations team to understand their needs and priorities and translate this into business solutions
  • You will be a key stakeholder in building the future state of agent experience, which is the key critical factor in growing our business

Required Skills:

  • 2 ~ 5 years in insurance industry experience.
  • 10+ years of experience in Overall knowledge/experience in IT
  • 10+ years of experience in data management and/or business intelligence roles with the most recent experience in data application delivery
  • Strong experience with AWS Cloud (Solution Architect / Data etc.)
  • Experience of Salesforce (Solution Architect / Data etc.)
  • ITIL experience
  • Demonstrated experience designing and building information assets in modern data technology platforms including Cloud (AWS, Azure, Snowflake, Spark) based solutions, and data system migrations
  • Experience in developing and operationalizing a data strategy across various technology, infrastructure, and entities
  • High Intermediate Japanese skills (JLPT N2 or above)
Why should you apply?

  • This is a longterm opportunity
  • You will be working with international team members
  • Learn new skills while working on a largescale project

Company Details:

A leading international insurance organization operates in over 130 countries and jurisdictions, offering services to commercial, institutional, and individual clients through one of the most extensive global property and casualty insurance networks.

In addition to general insurance, the organization is also a prominent provider of life insurance and retirement services in the United States.

Its common stock is publicly traded on both the New York and Tokyo stock exchange.
The group's Japan-based affiliate provides IT-related services to support the organization's operations within the country.

Salary: 10M~12M JPY

Working Hours: 9:00 - 17:30 (Mon-Fri)

Working Style:
Hybrid (4 days in office, 1 day work from home)

Holidays:
Saturday, Sunday, National Holidays, Year-end and New Year Holidays, and so on

Services/Benefits:
Social insurance, Employee Pension Scheme, Transportation Fee


ID:
PT492874

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