Team Lead Data Engineering

vor 1 Woche

Wien, Wien, Österreich Scalable GmbH Vollzeit
Job Description

As leader of one of our Data Engineering teams you play a pivotal role in Scalable's data journey. The team is responsible for owning our analytics data stack, building and maintaining data pipelines and making data consumable for various stakeholders throughout the company. Thus, the team contributes tremendously to promoting data-driven culture and driving data literacy at Scalable.

  • Supervise a motivated agile team with highly ambitious and smart people in our growing data department
  • Coordinate the development of cloud-based data platforms on AWS for analytics and business intelligence purposes
  • Create and execute the team's roadmap in coordination with stakeholders from different departments
  • Shape an AWS based streaming and batch processing solution, ingesting data from 3rd parties, as well as internal backend services
  • Develop and contribute ideas for data driven generation of significant business value
  • Select tools needed to store and process a huge and increasing amount of data
  • Manage different data sources and datasets
  • Analyse data quality and implement and ensure data health standards
  • Drive continuous improvements of data pipelines with respect to requirements and platform dependencies
  • Manage the preparation and cleaning of structured and unstructured data and the development of data pipelines for advanced analytics, machine learning and AI use cases
  • Work closely together with data scientists
  • Build interactive dashboards and reporting solutions
  • Work on data governance, documentation & management topics
  • Be a contact person for business intelligence questions, delivering actionable insights and recommendations
  • Be a people manager for the data engineering team & mentor data engineers to reach their full potential
Qualifications
  • University degree in computer science, engineering, natural science, mathematics or similar field
  • Several years of data engineering experience
  • Experience in leading a data team
  • Experience in building a cloud-based data platform, ideally on AWS
  • Data project management experience
  • Excellent knowledge in data-driven business applications
  • Python knowledge and experience in developing data pipelines in python (Java & Kotlin are a plus)
  • A strong business understanding
  • Basic knowledge in data science & machine learning models is a plus
  • Strong stakeholder management and English communication skills, you are able to tell stories using data and drive discussions with other business leaders
  • Sense of humour and positive outlook on life
Additional Information
  • Be part of one of the fastest-growing and most visible Fintech startups in Europe, creating innovative services that have a substantial impact on the lives of our customers
  • Work with an international, diverse, inclusive, and ever-growing team that loves creating the best products for our clients
  • Be productive with the latest hardware and tools
  • Learn and grow by joining our in-house knowledge sharing sessions and spending your individual Education Budget
  • Learn and experience German culture first hand by joining our free German language classes
  • (International) relocation support
  • Enjoy your free time with 30 paid vacation days and take the opportunity to work from abroad
  • Benefit from an attractive compensation package and from the company pension scheme
  • Say goodbye to order commissions and say hello to your complimentary subscription of Scalable Capital's PRIME+ Broker

Scalable Capital offers competitive compensation and benefits based on the performance, experience and qualifications of its employees. Due to Austrian legal requirements, we are obliged to state the minimum salary for this position. This corresponds to the minimum annual gross salary according to the applicable collective bargaining agreement. Of course, we are prepared to offer a higher salary depending on the individual situation (experience, responsibility, specialist knowledge and skills).

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