Overview
Job Description
At
Machine Learning Reply Austria we strive to work on leadingedge data science projects with our clients for which we are seeking Cloud Engineer consultants with a strong technical background.
Machine Learning Reply with its sister companies in Italy and Germany and over 8500 employees at Reply globally is a fastgrowing consultancy focused on solving problems with Data Science Cloud technologies and the right organizational frameworks as their backbone. We are a tight knit laid back but seriously motivated unit that aims to be involved at conferences and in community of practice with our tech partners.
We offer tailormade endtoend cloudbased solutions in the Data Science area that cover the entire project life cycle from initial strategy consulting to data architecture and infrastructure issues to data processing and deployment of productionready algorithms.
We have a vast expertise in every step of the Data Science implementation spectrum in all key industries of… the German HDAXcompanies. With focus on open source and cloud technologies we enable our customers to successfully introduce and implement new datadriven solutions and to optimize already existing processes and products while simultaneously adapting to cloud technologies.
Tasks:
Use your data ninja skills and work closely with our customers to find out what the perfect solution for them is!
• Through your knowledge you are able to design innovative technical approaches for data pipelines.
• Building extensive ETL pipelines including relevant orchestration workflows to ensure scalable and reliable data preprocessing.
• You will not be alone and will work closely with colleagues from Data Science or Engineering to jointly develop dataintensive applications such as data warehouses data lakes and/or data platforms
• You enjoy brainstorming conceptualization and final implementation. You therefore like to accompany the complete LifeCycle by creating specifications code and presentations for your solutions.
• As part of the Reply network you join communities of practice participate in hackathons and use all available learning resources
What we offer you:
• We offer you for this position according to the collective agreement for employees in data processing and information technology a gross monthly salary of at least 3215 (Consultant) or 4286 (Senior Consultant) depending on your previous experience.
• Access to work on projects across industries (large and midmarket companies in Banking Insurance Automotive Retail etc.)
• Very active group social program including conference funding team building group events Reply Exchange
• Recognition for Innovation to foster your personal development
• Work in an open flat environment within a broad Reply knowledge sharing network (more than 90 autonomous Reply groups across 8 countries)
• Office space in downtown Vienna with access to Stammstrecke
• Training and certification encouraged
• 30 Days of annual vacation
• Homeoffice contracts
• State of the art work equipment
• Award winning office spaces for an excellent work experience
• Public transport ticket within Vienna
• Gymmembership subsidy for a gym of your choice
• Flexible work environment between client Reply office and remote work
Requirements
• We are looking forward to your completed studies in (business) computer science mathematics statistics or comparableYou have experience with Big Data Technologies such as Spark Hadoop and MapReduce
• You have experience with cloud services from AWS or Azure alternatively you have extensive knowledge with onpremise solutions
• A hands on experience of using platforms such as Databricks and Cloudera
• Knowledge of SQL and NoSQL databases scalable cloud storages (s3 blob)
• Ideally you are familiar with a programming languages such as Python and R
• Familiarity with orchestration technologies such as Apache Airflow.
• You have had initial experience with streaming technologies like Kafka or Flink
• Fluent English skills and at least a B1 level of German round out your profile
Company:
Machine Learning Reply
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
