Senior Software Engineer - Data Products & Discovery (f/m) Datenbanksysteme


Firmendaten des Stellenangebotes

Home24 AG
Greifswalder Str. 212-213
10405 Berlin

Ansprechpartner

Frau

Sophie Fahning
technology-recruiting@home24.de


Details zur Stellenausschreibung

Datenbanksysteme
vollzeit

egal
10405 Berlin
Senior Software Engineer - Data Products & Discovery (f/m)

Stellenbeschreibung

Senior Software Engineer - Data Products & Discovery (f/m)

Home24 is Europe’s largest online destination for home furniture and decor. Being a dynamic, fast-growing market leader, our goal is to consistently provide our customers with the best service and assortment.

Home24 is currently active in 8 countries in Europe and Latin America. We employ more than 1,000 people worldwide and are looking to expand our team with dedicated top talents and experts who are ready to grow with us. Our dynamic and international team works with great passion and enthusiasm towards a great goal: To revolutionize the Home & Living market.

Therefore we are looking for you from now on as:

Senior Software Engineer - Data Products & Discovery (f/m)

In the discovery team at Home24 we are leveraging cutting-edge frameworks, languages, and infra-structure running on AWS to implement machine learning driven data products such as Recommenda-tion, Personalisation, Search and Ranking. We have a fantastic opportunity for a Software Engineer to join the team and work on building and improving distributed and scalable services that process data in near and real time which enhance the shopping experience of our customers. You would be joining our talented team who are self-starters, driven, bold and who are excited about exploiting emerging technologies to enable our business to solve complex problems.

If you’re passionate about big data, machine learning, delivering great data products and you’re look-ing for the opportunity to join a team where you can make a real difference and have impact on the continuous overall business success this could be the ideal role for you. This position is full-time and based in our great office in Berlin.


Responsibilities

•Collaborate with the data product manager, data engineering and data science to implement scal-able services which increase conversion and engagement and bring best user experience with da-ta-driven products leveraging machine learning models.
•Apply your great software engineering skills to the project or feature being developed
•Develop validation frameworks, proactive monitoring solutions to detect any abnormalities in a proactive manner
•Review your peers’ designs and code to ensure quality
•Document work done to enable knowledge sharing
•Proactively innovate with suggestions shaping up an effective feature roadmap that continues improving and expanding our suite of data products


Requirements

•University degree in Computer Science, Mathematics, Physics or a related area
•3+ years of relevant software engineering experience
•Preferably, 1+ years experience working on Machine Learning driven Ranking, Recommendation, Search services and infrastructure
•Expertise in designing highly-scalable and performant micro-services and storage layers using common frameworks, languages, and infrastructure (e.g. Scala, Play, etc.)
•Scala expertise is highly desirable
•Experience with AWS, Spark and ElasticSearch is highly preferable
•A passion for emerging technologies


What we can offer you

•Opportunities to develop great solutions of high business value
•Become a part of a highly motivated team of technology professionals
•An open culture to learn, share new ideas, solve hard problems and demonstrate your creativity to make a real difference
•Opportunities for advancement, independence and the autonomy to take on responsibility
•Benefits as employee discount, team events, free fruit, drinks and more

If you are interested in being a part of an exciting success story, get in touch. Send us a copy of your resume and relevant credentials (including a copy of your diploma, etc.) as well as your ex-pected salary and possible start date.