Team Lead Data Engineering - Analytics Platform (m/f/x) @Scalable
Software Development
Salary
Remote Location
remote in Germany Germany remote in Austria Austria
Job Type Full-time
Posted 2wks ago
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[Hiring] Team Lead Data Engineering - Analytics Platform (m/f/x) @Scalable

Jun 06, 2024 - Scalable is hiring a remote Team Lead Data Engineering - Analytics Platform (m/f/x). 💸 Salary: competitive compensation and benefits. 📍Location: Germany, Austria.



Company Description

Scalable Capital is a leading digital investment platform in Europe that makes investing easy and affordable for everyone. Clients of the Scalable Broker can trade 8,000 stocks, 2,500 ETFs, and 3,500 funds and other exchange traded products to build their portfolios, earn interest on their cash balance and take secured loans. People can also have their investments professionally managed via the digital wealth management service. More than one million clients already use the services.

Scalable Capital was founded in 2014 and is active in Germany, Austria, France, Italy, the Netherlands, Spain, and the UK. The investment firm, which is supervised by BaFin and the Bundesbank, has more than 20 billion euros on its platform. In addition to its business for private clients, the company operates B2B solutions. Its long-standing partners include ING, Barclays Bank in the UK, the robo-advisor Oskar, and the Santander Group in Spain. Scalable Capital employs more than 500 people at its offices in Munich, Berlin, and London. Together with the founding and management team around Erik Podzuweit and Florian Prucker, they strive to empower everyone to become an investor.

Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say.

Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).



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
  • Enjoy an office in a great location in the middle of Munich, Berlin or Vienna, or choose to work remotely within Germany or Austria (if eligible for the job)
  • 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 

Scalable Capital offers competitive compensation and benefits based on the performance, experience and qualifications of its employees. 

For applicants for Austria: Due to Austrian legal requirements, we are obliged to state the minimum salary for this position. The minimum salary under the collective agreement is based on the framework collective agreement for employees in information and consulting. Depending on your training, qualifications and professional experience, there is a willingness to overpay.

About The Company
Before You Apply
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🙈  Does this job need an edit?
Team Lead Data Engineering - Analytics Platform (m/f/x) @Scalable
Software Development
Salary
Remote Location
remote in Germany Germany remote in Austria Austria
Job Type Full-time
Posted 2wks ago
🙈  Does this job need an edit?
Apply for this position Unlock 30,755 Remote Jobs
Logo Interview prep for top tech roles with FAANG+ mentors. Join free webinar to learn how.
remote Be aware of the location restriction for this remote position: Germany, Austria
Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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