Lead Data Engineer - Stream Processing (f/m/d) - London - full-time
Do you love stories? If so, please keep reading, because we certainly do. We believe the ability to tell stories is what makes us human. Joyn is your streaming app with over 50 live TV channels, exclusive previews, originals and collections. We understand Joyn as a partnership – an invitation to content-providers and users alike to make entertainment more meaningful and fun. Our app aggregates global and especially local content in a relevant way for Germany, both live TV and on-demand content. All kinds of stories and more to come, everyday.
We hire the best, because we need people that are as customer-focused as we are. We are looking for champions to help us further connect with our audience. It’s not a small or easy task, but it’s a fun and rewarding one. Do you think you’re up for it? Great. Then send us your application!
To extend our reach to the best talent we are starting a London based Tech Hub and are looking for talent to improve our next generation video streaming platform across Europe from our London base in the St Katharine Docks WeWork.
About the Job
At Joyn you will work with the sizeable data of our video streaming platform as well as data from external sources. Together you will work with our team of talented and passionate data engineers to build a data platform in a highly collaborative and fast-paced environment. We are an Agile organisation and believe in autonomous teams that are given a challenge and work towards a shared mission. Therefore we need technical leaders with an agile mindset, who lead by example, enjoy working in a very dynamic environment, and are able to guide, mentor and grow high performing Data Engineers.
What you can expect
Assume the technical leadership role for the team building our new stream processing data platform, based on Kafka and SnowflakeYou will develop and optimize strategies for our stream processing pipeline usingKStreams and JavaDrive a culture of good engineering practises and implement processes, systems and tools to aid and empower the team in their day to day work.Facilitate technical design and architectural discussions in your team and align with other engineering teamsTogether with our teams you will work on business requirements and translate them into technical specificationsYou will develop our systems and processes hands-onAdvocate the use of stream processing through-out the engineering organisation and help teams in other domains to implement efficient stream processing architecturesDrive the future road map of our data platform by researching new tools and technologies.
How you do it
You have a deep passion for working on a mission-driven tech product that is designed to solve a complex user problemFor your team of talented engineers you provide technical leadership and guide the team in technical and product decisions and help us meet the product and business requirements with your technical solution.You believe in a servant leadership style that creates a healthy culture of collaboration and inclusion in line with the engineering and company values where people can fulfil their potential.You believe sharing your knowledge benefits everybody on the team and you mentor and develop the skills of the developers in your team.We like to get any potential elephants out of the room and resolve possible conflicts so we can focus on the product. You help us build an open, collaborative and candid culture that is built on trust.You are the technical wingman of the Director of Data Engineering and work closely with them to solve difficult product and business problems.You lead by example and instil the values that ensure your team maintains a high level of competence and operational excellenceYou have fun at work!
You have a degree in computer science or a very high level of practical experience in the fieldYou have been working in data engineering or business intelligence for several years, ideally in media or ecommerceProfessional working experience in KStreams and Java, additional programming languages are a plusYou have architected several stream processing solutionsExperience with Spark and Scala are a benefitYou have a good overview of the various data processing frameworks and tools in the marketExperience with AWS services, especially auto-scaling and serverlessWorking experience with CI/CD, test- and deployment automation, and containersEnglish is our team language