Senior Analytics Engineer (w/m/d) - 100% remote work within EU accepted

Karlsruhe, BW, Germany

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Company Description

The Finanzen.net Group is an innovative FinTech company that supports private and professional investors in their investment decisions.

The group includes

finanzen.net - one of the leading financial information portals in the DACH region
finanzen.net ZERO - a neobroker for low-cost securities trading
TraderFox - a provider of financial information and trading tools for semi-professional investors and those who want to become one
Our vision is:

We strive to be the best partner for our customers on their investment journey

At the beginning of 2025, the Finanzen Group was acquired by Inflexion, a leading European private equity firm in the mid-cap segment. Inflexion supports ambitious management teams in the further development and sustainable scaling of high-growth companies.

As part of the acquisition, the previously independently managed business units will be strategically merged. This realignment and the Group's strong innovative power will create new growth opportunities to further expand its market position as a leading investment platform.

In order to successfully implement the growth strategy and the value enhancement program, we are looking for committed talents who want to play an active role in shaping this change.

About TraderFox

TraderFox GmbH is a software company and specialist stock market publisher with offices in Reutlingen and Ravensburg. Our products help investors to invest successfully in the stock market. We employ over 50 people and are active in the following 3 business areas: As a stock market publisher, we publish journalistic content such as aktien Magazin and Trader-Zeitung. As a software company, we provide a comprehensive software suite for traders and investors at www.traderfox.com and as an IT service provider, we realize website projects for our clients.

Job Description

  • Business Partnership: Collaborate with business stakeholders, product, data warehousing, and engineering teams to define complex, ambiguous problems and solve them with data-driven solutions.  

  • End-to-End Data Ownership: Design, develop, and optimize scalable data solutions, metrics, curated data marts, and reporting assets using SQL, Python, dbt, PowerBI and Databricks. 

  • Power BI Platform Ownership: Take full ownership of our Power BI platform, including governance, workspace management, best practices, and end-user enablement.  

  • Data Transformation & Modeling: Provide clean, transformed data using modern ELT/ETL pipelines, with strong experience in DAX, star/snowflake schemas, and data modeling best practices. 

  • Strategic Enablement: Deliver actionable business insights via advanced Power BI dashboards and ad hoc analyses, communicating complex findings clearly to both technical and non-technical audiences.  

  • Process Improvement: Relentlessly challenge the status quo, driving improvements in efficiency, quality, speed, and cost savings across analytics workflows. 

  • Team Development: Mentor and coach junior analysts and engineers, fostering a high-performing, innovative data culture.  

  • Enablement & Training: Train and empower business users to self-serve analytics solutions and adopt data-driven practices.  

 

Qualifications

  • 5+ years of experience in analytics engineering, data engineering, or BI roles, with advanced proficiency in SQL, Python, and DAX.  

  • Proven experience designing and implementing scalable analytics solutions in Databricks, dbt, and Power BI in production environments. 

  • Deep understanding of modern data warehousing concepts, including star/snowflake schema design, medallion schema, data modeling, and curated data marts.  

  • Experience developing and maintaining advanced Power BI dashboards, with strong expertise in DAX. 

  • Strong communication and organizational skills; able to translate business needs into technical solutions and clearly communicate findings.  

  • Demonstrated ability to mentor others, provide constructive feedback, and contribute to a collaborative team culture. 

  • Highly curious, results-oriented, and proactive, with a passion for continuous learning and process improvement.  

 

Additional Information

  • You are part of a highly profitable, growing tech company
  • Modern offices in Reutlingen and Ravensburg. Flexible home office models possible
  • Flat hierarchies
  • Free gym membership at PT Reutlingen including wellness offers at company expense
  • Dynamic working and flexible working hours.
  • Creative working environment
  • Free drinks and snacks in the office 
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Databricks Data Warehousing dbt ELT Engineering ETL FinTech .NET Pipelines Power BI Python Snowflake SQL

Perks/benefits: Career development Fitness / gym Flex hours Startup environment

Regions: Remote/Anywhere Europe
Country: Germany

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