Data Engineer Python

About Us

We simplify wealth creation. Founded in 2014 in Vienna, Austria by Eric Demuth, Paul Klanschek and Christian Trummer, we're here to help people trust themselves enough to build their financial freedom — for now and the future. Our user-friendly, trade-everything platform empowers both first-time investors and seasoned experts to invest in the cryptocurrencies, crypto indices, stocks, precious metals and commodities they want — with any sized budget, 24/7.

Our global team works across different cultures and time zones, bringing our products to more than 6 million customers, making us one of Europe's safest and most secure platforms that powers modern investing.

Headquartered in Austria but operating across Europe, our products are built by fast-moving, talented, "roll-up-your-sleeves-and-make-it-happen" kind of people. It's these diverse perspectives and innovative minds operating as ONE TEAM that keep Bitpanda at the cutting edge of our industry.

The Role

Join our growing crew of data enthusiasts and take a pivotal role in shaping the modern data platform that powers Bitpanda end-to-end. You'll build intuitive, reliable data products that sit at the heart of our decision-making, enabling teams across the business to move faster, innovate smarter, and scale with confidence. Your work will directly influence how Bitpanda grows, optimises, and delivers an exceptional experience to millions of users.

Responsibilities

• Participate in building and operating a data platform that empowers everyone in the company, ensures performance and reliability, and with user-friendliness always in mind
• Shape the ongoing design of our core data model to support advanced analytics and reporting and define data quality, governance, and lifecycle standards with clear processes and documentation
• Design, implement, and maintain robust, observable data pipelines for ingestion and transformation and applying solid engineering practices (testing, code reviews, CI/CD, versioning)
• Partner with stakeholders across product, operations, finance, risk/compliance, and engineering to turn business goals into pragmatic, measurable data solutions
• Contribute to team strategy and roadmapping to align the team's technical efforts with broader organisational goals

Requirements

• Build production-grade dataflows with Python and SQL
• Schedule/operate dataflows with Airflow or Dagster
• Model/test transformations in dbt
• Comfortable in AWS (GCP/Azure welcome)
• Provision cloud resources in code with Terraform (or similar)
• Operate Snowflake thoughtfully, structure roles and permissions, optimize performance and cost
• Understand data quality and governance fundamentals (validation, documentation, lineage, privacy)
• Bring a growth mindset and willingness to learn

Nice to Have

• Experience with Kubernetes
• Knowledge of Kafka
• Familiarity with event collection platforms (RudderStack/Segment)
• Understanding of data catalogs (DataHub)
• Experience with Apache Iceberg (or other open table formats)
• Knowledge of A/B testing/feature flags

Benefits

• Flexibility to work where you thrive – Enjoy the freedom of our Hybrid working model, combining onsite collaboration and remote work, with an additional 25 days per year to work from a city or country of your choice
• Reward for your impact – Receive a competitive total compensation package aligned with Bitpanda's pay-for-impact policy, including participation in our stock option plan
• Support for your mental wellbeing – Access confidential coaching, counselling, and mental health resources
• Time to recharge – Take extra time off to rest, reset, and recharge, with 3 additional days off in 2026
• Continuous learning and growth – Grow your skills with unlimited access to Udemy's online courses
• Exclusive perks and rewards from partners worldwide