Senior Big Data Architect (m/f) (Part-or Fulltime)

OUTFITTERY is Europe’s largest Personal Shopping Service for men. We know that shopping isn’t a pleasure for every man, but we’re here to change that! This is why we set a clear goal: a world where men have time for the important things in life and are still well-dressed.

Your tasks:

• Design, build, deploy and maintain distributed data pipelines and infrastructure for batch and near real time processing, with focus on scalability and data quality
• Work with data scientists, data analysts, backend engineers and product managers to leverage the data we produce and process to the fullest extent
• Optimise and migrate existing data flows into the big data platform, add various new data sources
• Solve challenging problems in areas such as distributed systems, integration of machine learning algorithms and data processing

Your profile:

• At least 4 years experience of building and optimizing scalable data systems as a Data Engineer, with possible background as a Software Engineer
• Hands-on experience with big data technologies such as Kafka, Spark, Hadoop, Hive and Impala, planning the capacity and estimating hardware requirements
• Sound programming skills in Scala or Java
• Good knowledge of Linux and shell scripting
• Solid experience writing and tuning SQL queries and working with relational databases like PostgreSQL
• Familiarity with workflow frameworks like Airflow and Apache NiFi
• Nice to have: experience with AWS, Kubernetes and overall DevOps attitude (you build it, you run it)
• You are a great team player and you communicate fluently in English

We offer:

• An international and smart team which is eager to revolutionize shopping for men
• A transparent company culture with highly motivated colleagues, which work on our ambitious goals
• An exciting and responsible role, with great impact
• An honest and open feedback culture and individual development opportunities
• Company Hackathons, team training budget for conferences, trainings, books etc.
• Employee discounts, language courses
• Pension scheme, health insurance
• Summer and Christmas parties, team events

 

Intrigued? Then send us your application with your salary expectations and possible starting date. Your contact person is Eva Cortes Romero.