Senior Data Engineer (Python & AI)

CORYX Software GmbH; Cham; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

Flexible work from home

Professional growth opportunities

Zusammenfassung

Etops is redefining financial services with intelligent infrastructure and next-gen AI products. We are a collaboration-driven team building data-powered solutions across Europe, and we’re looking for a Senior Data Engineer to shape data-driven products and scalable platform services.

You will develop Python- and Streamlit-based applications, build and optimise data pipelines with Airflow, work with SQL and relational databases, and contribute to ML/LLM-powered features.

Qualifikationen

• 5+ years of professional experience developing production-grade applications with Python.
• Strong experience building and maintaining data-driven applications, ideally with Streamlit.
• Excellent SQL skills and a deep understanding of relational databases (PostgreSQL, Oracle), including query optimisation, data modelling and performance tuning.
• Hands-on experience with Airflow or similar orchestration frameworks.
• Practical experience with Machine Learning, LLMs or Generative AI, including technologies such as RAG, embeddings or vector search.

Aufgaben

• Develop and enhance data-driven applications using Python and Streamlit; implement new features and maintain code quality.
• Analyse complex datasets, write efficient SQL queries, and transform data into actionable insights.
• Maintain and optimise data pipelines with Airflow for reliable data processing and high quality.
• Contribute to ML/LLM-powered features and practical AI applications.
• Collaborate with BI and engineering teams to optimise data models and performance.
• Write production-ready software using modern engineering practices.
• Keep learning and explore new AI/data technologies to improve work.

Kenntnisse

German proficiency

English proficiency

Analytical thinking

Collaborative

Curious mindset

Problem solving

Communication skills

Tools

Python

Streamlit

SQL

Airflow

LLMs/Generative AI

Elasticsearch

GitHub

CI/CD

Docker

REST APIs

pgvector

Pandas/PySpark

Jobbeschreibung

Your mission

We in Etops are a very intensely cooperating team where every single person takes ownership and contributes to our joint success. Everyone matters – individually and as a team.

Our integrated ecosystem combines portfolio management, CRM, reporting, compliance, data integration, outsourcing and intelligent automation into one scalable platform. By transforming data into actionable insights, we enable financial professionals to deliver exceptional client experiences, make better decisions and grow their businesses sustainably.

As our platform continues to evolve, data is at the heart of everything we build. That's why we're looking for a Senior Data Engineer who wants to shape the next generation of data-driven products, AI-powered applications and scalable platform services. You'll work with modern technologies, take ownership from idea to production and have a direct impact on the products used by thousands of financial professionals across Europe.

Your role and responsibility

In this position you will be responsible for:

• Develop and enhance data-driven applications. You work on our Python- and Streamlit-based applications for internal and external users. You implement new features, improve existing functionality and write clean, maintainable code that delivers real business value.
• Work with data every day. You analyse complex datasets, write efficient SQL queries and transform data into meaningful insights that support business decisions and customer-facing solutions.
• Maintain and optimise data pipelines. You work with our Airflow pipelines to ensure reliable data processing, high data quality and strong performance. You continuously improve existing pipelines and integrate new data sources where needed.
• Apply AI where it adds value. You contribute to Machine Learning models and LLM-powered applications, helping bring technologies such as RAG, vector search and Agentic AI into practical, production-ready use cases.
• Support analytics and BI. You collaborate closely with our BI team, optimise SQL queries, improve data models and troubleshoot performance issues to ensure reliable analytical solutions.
• Write production-ready software. You turn ideas and prototypes into robust, tested and maintainable applications using modern software engineering practices.
• Stay curious. Technology evolves quickly—and so do you. You enjoy learning, exploring new tools and experimenting with emerging AI and data technologies to continuously improve your work.
• Collaborate and share knowledge. You work closely with Product, BI, Software Engineering and business stakeholders. Through code reviews, technical discussions and knowledge sharing, you actively contribute to the success of the team.

Your experience and profile

We are looking for:

• 5+ years of professional experience developing production-grade applications with Python.
• Strong experience building and maintaining data-driven applications, ideally with Streamlit.
• Excellent SQL skills and a deep understanding of relational databases (e.g. PostgreSQL, Oracle), including query optimisation, data modelling and performance tuning.
• Hands‑on experience working with Airflow or similar orchestration frameworks.
• Practical experience with Machine Learning, LLMs or Generative AI, including technologies such as RAG, embeddings or vector search.
• Experience with Elasticsearch is a plus.
• Solid knowledge of Git/GitHub, code reviews and modern CI/CD workflows.
• Experience with Docker and modern development environments.
• A passion for coding and solving complex analytical problems.
• A curious mindset with a genuine interest in learning new technologies and continuously improving your skills.
• Strong analytical thinking and the ability to translate complex business requirements into elegant technical solutions.
• A collaborative attitude, excellent communication skills and fluency in German and English.

Nice to have

• HTML, CSS and JavaScript to extend Streamlit applications.
• Experience with Google Cloud Platform and/or Microsoft Azure.
• Experience with dbt and modern data transformation practices.
• Experience with pandas, Polars, PySpark and pytest.
• Experience with Agentic AI, vector databases (e.g. pgvector) and production‑ready RAG solutions.
• Experience building or consuming REST APIs.
• Understanding of Data Governance, Security and Compliance in data‑driven environments.

Why us?

• Be part of a purpose‑driven company with a mission to empower individuals and businesses.
• Collaborate with a diverse, talented team dedicated to innovation and excellence.
• Get inspired by our international cooperation with teams in Switzerland, Germany, Luxembourg, Slovakia, Georgia and Ukraine.
• Develop your skills and advance your career in a supportive and inspiring environment.
• Contribute to cutting‑edge product and make a meaningful impact in the world of finance and technology.
• Enjoy a flexible and inclusive work culture that values your well‑being and work‑life balance.
• Combine the experience working in modern offices with the possibility to work from home.

About us

Etops is redefining the way financial services harness data and technology. We're not just building tools — we're creating intelligent infrastructure, seamless user experiences, and next‑gen AI products that empower smarter decisions at every level.

We’re a team of engineers, creatives, and fintech experts who move fast, think big, and challenge the status quo. Our culture is rooted in curiosity, bold thinking, and making an impact — both in the industry and for each other.

Now’s the time to join us. We’re scaling, hiring, and shaping the future of wealth and asset management. If you're passionate about cutting‑edge tech and real‑world impact, let's talk.