Big Data Engineer (m/w/d)

At Machine Learning Reply Austria we strive to work on leading-edge 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 fast-growing 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 tailor-made end-to-end cloud-based 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 production-ready algorithms.

We have a vast expertise in every step of the Data Science implementation spectrum in all key industries of the German HDAX-companies. With focus on open source and cloud technologies we enable our customers to successfully introduce and implement new data-driven 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 data-intensive 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 mid-market 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
• Home-office contracts
• State of the art work equipment
• Award winning office spaces for an excellent work experience
• Public transport ticket within Vienna
• Gym-membership subsidy for a gym of your choice
• Flexible work environment between client, Reply office and remote work

• We are looking forward to your completed studies in (business) computer science, mathematics, statistics or comparable
• You have experience with Big Data Technologies such as Spark, Hadoop, MapReduce, Hive, Impala, Apache Iceberg
• You have experience with cloud services from AWS or Azure, alternatively you have extensive knowledge with on-premise solutions
• A hands on experience of using platforms such as Databricks or 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 as well as data ingestion pipelines with NiFi
• You have had initial experience with streaming technologies like Kafka, Streamzilla or Flink
• Fluent English skills and at least a B1 level of German round out your profile