كلما زادت طلبات التقديم التي ترسلينها، زادت فرصك في الحصول على وظيفة!
إليك لمحة عن معدل نشاط الباحثات عن عمل خلال الشهر الماضي:
عدد الفرص التي تم تصفحها
عدد الطلبات التي تم تقديمها
استمري في التصفح والتقديم لزيادة فرصك في الحصول على وظيفة!
هل تبحثين عن جهات توظيف لها سجل مثبت في دعم وتمكين النساء؟
اضغطي هنا لاكتشاف الفرص المتاحة الآن!ندعوكِ للمشاركة في استطلاع مصمّم لمساعدة الباحثين على فهم أفضل الطرق لربط الباحثات عن عمل بالوظائف التي يبحثن عنها.
هل ترغبين في المشاركة؟
في حال تم اختياركِ، سنتواصل معكِ عبر البريد الإلكتروني لتزويدكِ بالتفاصيل والتعليمات الخاصة بالمشاركة.
ستحصلين على مبلغ 7 دولارات مقابل إجابتك على الاستطلاع.
Your role As a Data Engineer, your mission is to play a key role in a fast-growing business transformation team, unlocking the power of data to drive cutting-edge machine learning solutions. You will help build the foundations that enable predictive insights into vacuum asset performance, shaping how we use data to anticipate failures and deliver smarter, more proactive customer solutions.. You will report to the Data Analytics & Solutions Architecture Team Lead. You will Build and develop robust ETL pipelines, creating accessible and well-structured datasets in a Data Lake Ensure data pipelines are reliable, monitored, and automatically report issues Enable programmatic access to data for Data Scientists and analytics teams Optimise performance of business-critical pipelines, defining and tracking key metrics Collaborate with cross-functional teams to integrate subject matter expertise into data solutions Define requirements for data linkage and quality checks to enable automated pre-processing Support best practices through participation in design discussions and code reviews Communicate insights and findings clearly to a range of stakeholdersdescribe main responsibility To succeed, you will need We encourage you to apply even if you don't meet every single requirement. We value diverse experiences and perspectives and are excited to see what you bring to the role. You have experience working as a Data Engineer including: Strong hands-on experience building and maintaining ETL/data pipelines Proficiency in data engineering tools and languages such as SQL and Python Experience working with cloud-based data platforms (ideally Microsoft Azure) Familiarity with big data technologies such as DataBricks Strong communication skills, with the ability to work effectively across technical and non-technical teams A proactive and curious mindset, with a drive to continuously improve data solutions In return, we offer Culture of trust and accountability Lifelong learning and career growth Innovation powered by people Comprehensive compensation and benefits Health and well-being Job location This role offers a hybrid or fully remote working arrangement, there may be some travel required to our Global Technocolgy Centre in Burgess Hill, United Kingdom (GB). Contact information Talent Acquisition Team: Jessica Timperley
لن يتم النظر في طلبك لهذة الوظيفة، وسيتم إزالته من البريد الوارد الخاص بصاحب العمل.