We hire Data Engineer IV (Remote)

您將應對複雜的挑戰，使用尖端技術，領導關鍵項目，並塑造資料工程的未來！ Agile Lab 是一家成立於2014 年的公司，其使命是透過可自訂的解決方案在資料密集型環境中為客戶創造價值，這些解決方案基於資料治理最佳實踐建立效能驅動的流程、永續架構和自動化平台。

在交付了100 多個成功的精英資料工程計劃後，我們利用這些經驗創建了Witboost：一個與技術無關的模組化平台，使現代組織能夠在傳統環境和完全相容的資料網格架構中發現、評估和生成數據。

Agile Lab 擁有一支由 130 多名歐洲資料工程師組成的高技能團隊，可協助組織實現數據驅動的轉型。

請查看我們的手冊，以了解我們的核心價值和流程。

機會：

我們正在招募一名四級資料工程師加入我們的團隊。在此職位中，您將需要實施資料密集型應用程式。要成為一名成功的資料工程師，您應該具備出色的解決問題的能力。

拉爾：

€60 - 70K+ 4K 獎勵包

職責：

• 分析、設計和實現複雜的系統；
• 挑戰團隊流程，尋找改善方法；
• 透過結對、設計和程式碼審查來指導初級工程師；
• 遵循我們關於 SDLC 的品質標準來建立軟體解決方案；
• 積極努力了解最新技術；
• 主導複雜系統的技術設計；
• 了解並優化系統效能；
• 在問題成為問題之前主動解決問題；
• 交付複雜的系統，經過精心設計，幾乎沒有錯誤；
• 主動辨識需求和專案計畫的問題；
• 去找某一技術領域的專家；
• 研究並提出新技術；
• 偵測可能的效能瓶頸；
• 以無戲劇性的發布而聞名；
• 可以跳入舊項目並修復它；
• 持續影響服務/產品/專案的技術和業務路線圖；
• 主動辨識並解決技術債；
• 具有自我意識的溝通；
• 在任何級別提出某件事時，都以書面形式進行並提供適當的背景；
• 為他人的職業發展做出貢獻。

You'll tackle complex challenges, work with cutting-edge tech, leading key projects, and shaping the future of data engineering! Agile Lab is a company founded in 2014 with the mission to create value for its customers in data-intensive environments through customisable solutions that establish performance-driven processes, sustainable architectures and automated platforms based on data governance best practices.

Having delivered over 100 successful Elite Data Engineering initiatives, we have used this experience to create Witboost: a modular, technology-agnostic platform that enables modern organisations to discover, value and produce their data in both traditional environments and fully compliant Data Mesh architectures.

With a highly skilled team of over 130 data engineers based in Europe, Agile Lab helps organisations with their data-driven transformation.

Take a look at our handbook to discover our core values and processes.

The opportunity:

We are looking to recruit a Data Engineer IV to join our team. In this role you will be required to implement data intensive applications. To be successful as a Data Engineer, you should have excellent problem solving skills.

RAL:

€60 - 70K+ 4K bonus pack

Responsibilities:

• Analyzes, designs, and implements complex systems;
• Challenges the team processes, looking for ways to improve;
• Mentors junior engineers via pairing, design, and code review;
• Builds software solutions by adhering to our quality standards about SDLC;
• Makes active efforts to stay up-to-date with technologies;
• Leads the technical design of complex systems;
• Understands and optimizes system performances;
• Takes the initiative to fix issues before they become a problem;
• Delivers complex systems, well-baked, and almost bug-free;
• Proactively Identifies problems with requirements and project plan;
• Go to an expert in one technological area;
• Research and propose new technologies;
• Detect possible performance bottlenecks;
• Known for drama-free launches;
• Can jump into an old project and fix it;
• Consistently influence technical and business roadmap of services/products/projects;
• Proactively identify and tackle tech debt;
• Communicate with self-awareness;
• When proposing something, at any level, is doing it in written form and providing the proper context;
• Contributes to the career development of others.

要求

• 計算機工程或計算機科學學士學位；
• 6+以前的經驗；
• 深入了解Hadoop、Spark和類似框架；
• 深入了解程式語言，包括Java；
• Data Mesh的一些知識；
• 雲端原生技術、IaC、Docker工具專家；
• 優秀的專案管理能力；
• 優秀的溝通能力；
• 積極主動；
• 業務和功能理解；
• 團隊合作者；
• 能夠解決複雜的網路、數據和軟體問題；
• 領導能力。

我們提供：

• 在我們的辦公室進行完全遠端或混合工作：米蘭、都靈、帕多瓦、博洛尼亞、卡塔尼亞和倫德；
• 真正的工作與生活平衡；
• 培訓每月預算（時間和金錢）；
• 結構化的職業道路，每個層級都有明確的期望和薪資；
• 工作第一週得到好友的支持；
• 教練作為指導，幫助您選擇最適合您的抱負的經驗；
• 福利和企業福利計劃：公司獎品和歡迎禮包，其中包含您工作所需的所有設備；
• 敏捷遊牧者體驗：海外工作兩週的機會；
• 推薦獎金，如果你帶來了像你一樣有才華的人；
• 每年參加一次會議的機會；
• 我們公司在Glassdoor上的員工滿意度評分為4.8分(滿分為5分)，並被認證為「最佳工作場所」
• 包容的環境，讓你可以做真正的自己；
• 以職業和個人成長為導向的激勵環境。

我們的工作方式：

• 我們不喜歡階級制度：我們作為一個團隊工作；
• 我們不喜歡官僚作風，我們更喜歡責任感；
• 當然，我們喜歡數據，所以任何可衡量的東西；
• 我們希望為我們的行業做出積極的改變；
• 同理心、謙遜、協作和願意挑戰自我是我們工作的基礎。

請注意：只有位於歐洲時區（CEST 或類似時區）的候選人才會被考慮擔任此職位

該職位向所有候選人開放，無論性別，我們強烈鼓勵男性和女性候選人根據藝術條款申請。第 27 號立法令198/2006，以及那些認為自己是非二元或任何其他類型的人。我們致力於打造多元化和包容性的工作場所。

• 部門：工程
• 遠端狀態：完全遠端

關於敏捷實驗室

• 為企業組織制定數據工程策略和平台支持
• 成立於2013年
• 同事約200人
• 工程·米蘭·完全遠程

• 資料工程師四級（遠端）

您將應對複雜的挑戰，使用尖端技術，領導關鍵項目，並塑造資料工程的未來！

Requirements

• Bachelor’s degree in Computer Engineering or Computer Science;
• 6+ previous experience;
• In-depth knowledge of Hadoop, Spark, and similar frameworks;
• In-depth knowledge of programming languages, including Java;
• Some knowledge of Data Mesh;
• Expert in cloud-native technologies, IaC, and Docker tools;
• Excellent project management skills;
• Excellent communication skills;
• Proactivity;
• Business and functional understanding;
• Team Player;
• Ability to solve complex networking, data, and software issues;
• Leadership capabilities.

We offer:

• Full Remote or hybrid working in our offices: Milan, Turin, Padua, Bologna, Catania and Rende;
• Real work life balance;
• Training monthly budget (time and money);
• A structured career path with clear expectations and salary for each level;
• Support of a buddy in the first week of work;
• A coach as a guide in choosing the most suitable experiences for your ambitions;
• Benefits and corporate welfare programs: company prizes and welcome pack with all the equipment you need to work;
• Agile Nomads Experience: opportunity to work for 2 weeks abroad;
• Referral bonus, if you bring people as talented as you;
• The opportunity to attend one conference per year;
• A company rated 4.8 out of 5 for employee satisfaction on Glassdoor and certified as a Great Place to Work
• Inclusive environment where you can be who you really are;
• Stimulating environment oriented to growth, both professional and personal.

How we work:

• We don't like hierarchies: we work as a team;
• We don't like bureaucracies, we prefer sense of responsibility;
• We like data, certainly, so anything that is measurable;
• We want to make a positive change in our industry;
• Empathy, humility, collaboration, and willingness to challenge ourselves are the basis of our work.

Please note: only candidates based in European time zones (CEST or similar) will be considered for this position

This position is open to all candidates, regardless of gender, and we strongly encourage applications from both male and female candidates pursuant to Art. 27 of Legislative Decree no. 198/2006, as well as those who identify themselves as non-binary or of any other kind. We are committed to fostering a diverse and inclusive workplace.

• Department: Engineering
• Remote status: Fully Remote

About Agile Lab

• Shaping Data Engineering Strategy and Platform Enablement for Enterprise Organizations
• Founded in 2013
• Co-workers About 200
• Engineering · Milano · Fully Remote

• Data Engineer IV (Remote)

You'll tackle complex challenges, work with cutting-edge tech, leading key projects, and shaping the future of data engineering!