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工作内容

DESTINATION FOR GREAT TALENT

At Trade Republic, we are on a mission to democratize wealth. We set up millions of Europeans for wealth with fast, easy, and free access to capital markets. With over one million customers we are one of the largest savings platforms in Europe, with users holding over €6 billion on our platform.

We are seen as the go-to-destination for top talent from across the globe. Everyday we strive to make Trade Republic a great environment to do the best work of your life, surrounded by exceptional, caring and passionate colleagues. In addition to learning and growing with a world-class team, you will build a destination for everyone across Europe to put money to work.

ABOUT THE TEAM

As an Analytics Engineer in the Data Platform, you will lead, build, and own analytics projects end-to-end. You will be filling the gap between Data Engineers and Data Scientists while collaborating with Business Stakeholders. You will be responsible for bringing analytics models to production. Such models will empower all data users across the company to make better decisions and shape the future of Trade Republic.

You will support one of our Data Platform initiatives:
Experimentation

  • Responsible for our experimentation service which enables data-driven decision making in our Product, Marketing and Customer Service departments.
  • From AB testing, to interleaving and multi-arm bandits
Automation

  • Supercharge our banking operations by automating machine learning processes like Money Laundry Detection or our Compliance operations.
  • Expand our product offering by producing user facing data products, from tax and depo reporting, to personalized news digests and recommendations.
Infrastructure

  • Help us monitor data generated from our users and financial markets
  • Improve our real time capabilities for prediction, analysis and actionable insights
  • Create tooling and infrastructure to deploy Machine Learning algorithms
WHAT YOU’LL BE DOING

  • Extract large amounts of complex data and design ELT flows using SQL, Python, DBT, Airflow and Snowflake
  • Collaborate with Data Engineers to make sure your data pipelines are well versioned and deployable through our infrastructure
  • Implement automated alerting and monitoring to your data pipelines to contribute to data freshness and data correctness
  • Actively learn, search and implement new technologies and best practices that boost the availability of data and its analysis
  • Understand the business requirements and translate them into an end-to-end data pipeline
WHAT WE’RE LOOKING FOR

  • You feel comfortable building automated solutions using big data
  • You have worked preferably with modern-tech data stacks (AWS/Airflow/DBT/SnowFlake are a plus)
  • You have a good understanding of business logic and analytics
  • You are well familiar with all stages of a data pipeline
  • You can visualize complex data in a simple, clean and understandable way (Looker or Tableau are a plus)
  • You are oriented to personal and professional growth, you never settle with what you have
WHY YOU SHOULD APPLY NOW

At Trade Republic you will get to do the best work of your career. We are a destination for people who are exceptional at what they do. Every day, we strive to build a world-class team and provide the space for people to do their best. We have a relentless ambition of raising the bar and expect the best from ourselves. Through our dedicated people-first management approach and transparent career paths, you will have the opportunity to develop and grow your career like never before. And because you are surrounded by a diverse team of high performers, you will be learning every day.

You will play an important role in fixing one of the largest challenges we face - closing the pension gap and democratizing wealth. Trade Republic is a place where your job, your career and your passions intersect. If this gets you fired up, just like it does for all of us at Trade Republic, then reach out!

Trade Republic embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
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最后期限: 08-12-2024

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