Big Data Engineer (m/w/d)

Job Description

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

Requirements
• 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

Company:

Machine Learning Reply

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Austria , Big Data , Data Warehouse , Industry , Machine Learning , NLP