O poziciji

👨‍🌾 ClstrLobe is a data science company currently on a mission to bring worldwide farmers one step closer to meeting future food demands. We are building our data-intelligent product that will allow farmers to enjoy the benefits of new technologies. With the account of numerous relevant data collected from the ground and above, we are modeling intelligent assistance for reaching the maximum field’s potential. We exist in an area that is still considerably unknown; our every task is a leap into uncertainty and an opportunity to pioneer something truly revolutionary! It is an exciting time of growth for ClstrLobe - Because of that, we are looking for creative, autonomous and naturally curious minds who think outside of the box and will help us formulate the next generation of farming! 🟢 𝐀𝐛𝐨𝐮𝐭 𝐭𝐡𝐞 𝐩𝐨𝐬𝐢𝐭𝐢𝐨𝐧: As a senior data engineer, you will become a part of our DataLobe where you will be responsible for managing data environments, building data models based on business requests and helping acquire, transform and manipulate various datasets. In this role, you will be at the forefront of our transformation journey with great freedom to innovate, grow, mentor and shape the whole team’s methodology. 🟢 𝐖𝐡𝐚𝐭 𝐰𝐞 𝐞𝐱𝐩𝐞𝐜𝐭 𝐟𝐫𝐨𝐦 𝐲𝐨𝐮 𝐚𝐧𝐝 𝐰𝐡𝐚𝐭 𝐲𝐨𝐮 𝐜𝐚𝐧 𝐞𝐱𝐩𝐞𝐜𝐭 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐣𝐨𝐛: • You are expected to mentor, innovate, grow and shape the whole engineering team’s methodology - 𝐜𝐫𝐞𝐚𝐭𝐢𝐯𝐢𝐭𝐲 𝐚𝐧𝐝 𝐨𝐩𝐞𝐧𝐧𝐞𝐬𝐬 𝐭𝐨 𝐤𝐧𝐨𝐰𝐥𝐞𝐝𝐠𝐞 𝐬𝐡𝐚𝐫𝐢𝐧𝐠 are essential! • Expert knowledge in 𝐒𝐐𝐋 (preferred 5+ years) is highly required, previous experience with 𝐜𝐥𝐨𝐮𝐝 𝐞𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐬 (Azure, AWS, IBM…) is also necessary • Since we are discovering new data potentials every day, you should have a strong background in 𝐝𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐦𝐨𝐝𝐞𝐥𝐢𝐧𝐠, 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬 𝐚𝐧𝐝 𝐞𝐧𝐚𝐛𝐥𝐢𝐧𝐠 𝐝𝐚𝐭𝐚 𝐚𝐜𝐜𝐞𝐬𝐬 • When it comes to agriculture, you can expect everything from data. Strong ability 𝐭𝐨 𝐦𝐚𝐧𝐢𝐩𝐮𝐥𝐚𝐭𝐞, 𝐦𝐚𝐧𝐞𝐮𝐯𝐞𝐫 𝐚𝐧𝐝 𝐩𝐫𝐨𝐜𝐞𝐬𝐬 𝐩𝐫𝐞𝐭𝐭𝐲 𝐚𝐧𝐝 𝐮𝐠𝐥𝐲 𝐝𝐚𝐭𝐚 is expected • You will deal with data from multiple sources and purposes, a 𝐮𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐨𝐟 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐚𝐥 𝐟𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐬 𝐚𝐧𝐝 𝐮𝐧𝐝𝐞𝐫𝐥𝐲𝐢𝐧𝐠 𝐦𝐚𝐭𝐡 that allows you intelligent 𝐝𝐚𝐭𝐚 𝐬𝐜𝐚𝐥𝐢𝐧𝐠 is highly necessary • You will be responsible for defining and implementing 𝐜𝐨𝐧𝐭𝐫𝐨𝐥𝐬 𝐟𝐨𝐫 𝐝𝐚𝐭𝐚 𝐪𝐮𝐚𝐥𝐢𝐭𝐲 𝐦𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 – we expect you to be comfortable doing so • Our products are highly dependent on 𝐠𝐞𝐨𝐬𝐩𝐚𝐭𝐢𝐚𝐥 𝐝𝐚𝐭𝐚 (vectors and rasters – satellite and drone imagery), previous experience with processing such data is a bonus, willingness to learn is a must! • You will collaborate with other members of our DataLobe, previous experience in 𝐜𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭𝐬 𝐚𝐧𝐝 𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬 is a big plus • You should continuously put effort to familiarize yourself with both team requirements and business objectives to 𝐬𝐮𝐠𝐠𝐞𝐬𝐭 𝐬𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬, 𝐧𝐞𝐰 𝐝𝐚𝐭𝐚 𝐬𝐨𝐮𝐫𝐜𝐞𝐬 𝐚𝐧𝐝 𝐭𝐨 𝐩𝐫𝐨𝐯𝐢𝐝𝐞 𝐠𝐮𝐢𝐝𝐚𝐧𝐜𝐞 to the whole team. • Since agriculture is a new field for most of us, we all are putting a lot of effort to 𝐫𝐞𝐬𝐞𝐚𝐫𝐜𝐡 of scientific publications and new technologies to find new creative ways to apply gained knowledge to our mission – the same is expected from you. 😎 𝐋𝐨𝐧𝐠 𝐬𝐭𝐨𝐫𝐲 𝐬𝐡𝐨𝐫𝐭, 𝐲𝐨𝐮 𝐚𝐫𝐞 𝐚 𝐩𝐞𝐫𝐟𝐞𝐜𝐭 𝐜𝐚𝐧𝐝𝐢𝐝𝐚𝐭𝐞 𝐢𝐟 𝐲𝐨𝐮 𝐡𝐚𝐯𝐞: • Expert knowledge in SQL • Previous experience with cloud environments • Strong background in building data models from business requests • Experience with building data pipelines and enabling data access • Strong and creative skills with data scaling and data manipulation • Solid understanding of analytical foundations and underlying math • A goal-oriented and proactive approach to problem-solving • A curious mind and drive to solve complex real-world problems • Desire to exchange knowledge and continuously develop new skills 🟢 𝐖𝐡𝐚𝐭 𝐰𝐞 𝐜𝐚𝐧 𝐨𝐟𝐟𝐞𝐫 𝐲𝐨𝐮: • Impactful and diversified role where you will be continuously intellectually stimulated • Challenging project that will keep you entertained and provide countless opportunities for growth • Learning opportunities from a wide spectrum of our external consultants, varying from PhD’s, university professors, industry experts and many more • Creative, motivating and simply amazing colleagues with different backgrounds who love to share their knowledge, findings and experience • Competitive salary, flexible working hours, lots of paid vacation days and many other cool perks If you like what you see, don’t hesitate and send us your CV!