Data (Platform) Engineer

About the companiespXccelerated works with different partners in different areas: food industrie, finance, robotica, logistics, etc. /pbrScroll naar beneden voor een compleet overzicht van wat deze baan inhoudt. Bent u de juiste kandidaat voor deze functie?brpThose companies want to become an entirely data-driven organization. To reach this goal, they are building a new, modern Data Platform on GCP/AWS/Azure which will be used to provide insights and self-service analytics to the company. Sometimes the Data Platform will be built from scratch, and your team is responsible for its architecture, development and maintenance; other times you will be added to an existing team. /ppYou will be a very crucial part of the team. In your day-to-day work, you will collaborate with the engineering and analytics teams and build components of the platform that enables the users to create scalable pipelines and deploy models in production. /pAs a Data (Platform) Engineer you will:ullipHelp the team with building, deploying and maintaining their new or existing Data Platforms /p /lilipBuild components of the platform that enables the users to build scalable pipelines and deploy models in production /p /lilipMaintain and develop infrastructure related to data /p /lilipCollaborate with the Platform and analytics teams to ensure cohesive integration between systems and data models are in place /p /li /ulBootcamppYou will start with 2 - 4 full-time weeks of hands-on bootcamp training where you’ll focus on writing deployable code, containerization, data engineering, platform and cloud fundamentals. /pBeyond BootcamppAfter the Bootcamp, you will work at one of our clients four days a week (hybrid), for a full year. On the fifth day, you will return to the Xccelerated office for more theory and practice and other modules. During these weekly return days, you gain valuable guidance and coaching from supervising consultants to support you in the partner company’s projects. You also dive deeper into training topics not covered in the bootcamp. /pProgram topics includeullipData Engineering with Python /p /lilipData platform engineering /p /lilipDistributed processing with Kafka Spark /p /lilipFunctional data engineering with Airflow /p /lilipContainerization with Docker /p /lilipData storage data lakes /p /lilipDistributed Systems /p /lilipCloud-native data engineering /p /lilipSoft skills /p /lilipPersonal development /p /li /ulWhy work at Xccelerated?Advanced Data AI training programspTake the next step in your career. The programs for professionals with proven potential ensure growth in your ML AI career by working and learning continuously. /pChallenging data-driven projectspApply your knowledge on exciting data-driven projects and make real impact. Work with other highly skilled people at one of the partner companies and your future employer. /pLike-minded professionalspWork in an international environment with like-minded professionals who are on the same page: learning, making impact, sharing knowledge and having fun. /pSoft skillspIn conjunction with the technical programs, Xccelerated also provides soft-skills development through interactive training days and practice. It features an integrated personal development component on effective communication as a Data AI professional. /ppThe training courses are focused on personal leadership and will give you insight into your preferred communication styles and personal development goals. In addition, the program covers effective communication, giving feedback and feedforward, stakeholder management, presenting and conflict management. /ppThe Xccelerated personal development program is divided into seven training topics. Each subject consists of one interactive training day in which everyone practices their skills. /ppThe skills I learned at Xccelerated are incredibly valuable—I use them everyday at work. After the bootcamp, I had the feeling that I wanted to rewrite all my previous projects. /ppbNikki Doorhof /b - data scientist, Xccelerated/Nationale Nederlanden /ppXccelerated decreases the gap between software engineering and data science. Thanks to this, I’m solving real data engineering challenges. /ppbSelin Gungor /b - data engineer, Xccelerated/ING /ppI’m impressed by the guidance I get from the many experts I’m surrounded with at Xccelerated. It helps me become an expert myself as well at Heineken. /ppbAldy Syahdeini /b - cloud developer, Xccelerated/Heineken /pReady to join our Data platform team?pFrom a personal perspective, you are customer focused and have a strong can-do mentality. xgiwjmb You focus on results, have a desire to complete challenging tasks and learn while doing. Next to this, you have: /pullipA Bachelor/Master level education in Information Technology, Computer Science, Cloud Computing or related field /p /lilip1-4 years of experience as a Data (Platform) Engineer /p /lilipFamiliar with industry big data platform stack (for example: Databricks, Spark, Airflow) /p /lilipExperience in working on public Cloud (GCP/AWS/Azure) /p /lilipSpeaking Dutch (at least B2) /p /li /ulpBesides working at one of the world’s most innovative companies within the tech industry, bwe offer you: /b /pullipA competitive salary /p /lilip25 vacation days /p /lilipKick off with 4 full-time weeks of hands-on bootcamp training /p /lilipTechnical trainings Innovation days (every week) /p /lilipCompany laptop /p /lilipLunches, amazing coffee and snack bar /p /lilipFlexibility in working from home and at the office /p /li /ulbr