Data Engineer

Out There Media is a leading international mobile advertising company that uniquely links mobile operators with advertisers via its proprietary, award-winning technology, Mobucks™. The company’s platform enables operators to become a substantial player in the digital ad space and unlock significant revenue streams for them, and brands and agencies to reach their audiences, in a highly targeted manner, leading to unprecedented levels of consumer engagement. Clients include Fortune 500 companies such as Vodafone, Starhub, Zain, MTN, Unilever, Pepsi, Nestle, L’Oréal, Coca Cola, P&G, and many more. The Company is headquartered in Vienna, Austria with operations across the globe.

We are offering the opportunity to a talented and skilled Data Engineer to play a key role in leveraging big data analytics and technology to improve Out There Media's overall business operations.

Responsibilities include:

• Analyze and organize raw data
• Developing and maintaining datasets and evaluate datasets for accuracy and quality in order to improving data quality and efficiency
• Build data systems and pipelines
• Prepare data for prescriptive and predictive modeling
• Build up processes for data mining, data modeling, data streaming and create efficient ML models for interpret trends and patterns
• Develop analytical tools and programs
• Ensure that all data systems meet the high transactional requirements as well as industry best practices
• Integrate up-and-coming data management and software engineering technologies into existing data structures
• Create custom software components and analytics applications
• Research new uses for existing data
• Employ an array of technological languages and tools to connect systems together
• Define data retention policies and Install/update disaster recovery procedures
• Always be on the edge of technology and continuously monitor and test the system to ensure optimized performance.
• Work with internal teams in understanding the business requirements and implementing solutions to achieve business goals

If you possess creativity and high motivation, you are eager to learn, you adapt fast and you are a team player, then we can’t wait to meet you!

Requirements

• Degree in a related field such as software / computer engineering, applied mathematics, physics statistics or business informatics
• 5+ years of working experience acquired by working in companies dealing heavily with big data (e.g. research companies)
• Proficient use of SQL Language
• Excellent use of Google BigQuery and Google Datastudio and Dataflow
• Experienced with technologies / tools such as Spark, SparkSql, Flink, GeoSpark
• Experienced with Hadoop, and MapReduce processes
• Good knowledge of Big Data querying tools, such as Hive and others
• Experience building and using clustering and classification algorithms and methods
• Experience with integration of data from multiple data sources
• Excellent English skills, written and oral
• Intellectual curiosity to find new and unusual ways of how to solve data management issues
• Ability to approach data organization challenges while keeping an eye on what’s important

Benefits

• The compensation package includes a competitive remuneration, dependent on experience and skills, and a bonus upon achievement of KPIs, in line with the company’s performance and rewards scheme.
• Working with a stimulating, bright, young and international team, within a pleasant environment promoting the freedom and flexibility of expressing your talents.
• A unique, diverse, and multi-national company culture.