Senior Software Engineer II (Data Platform)

The job at a glance

Join the Data Platform department and make an impact beyond a single team or product. Shape the future of the Data Platform, influence technical decisions at scale and drive best practices across the organisation.

Build scalable, reliable and well-governed platform capabilities that support analytics, AI and business-critical products. Collaborate closely with Engineering Managers, Product Managers and Enterprise Architects on high-impact architectural challenges and engineering practices across multiple teams.

Your responsibilities

• Define and evolve the technical vision, roadmap and architecture of the Data Platform, driving key decisions across data, platform and infrastructure domains.
• Establish engineering standards, best practices and reusable patterns while partnering with Enterprise Architecture and influencing technical direction across teams.
• Drive engineering excellence by improving code quality, testing, observability, reliability, operational practices and AI-assisted development.
• Support end-to-end delivery by guiding teams through complex technical challenges, improving decision-making and contributing to planning and risk management.
• Mentor engineers, strengthen technical capabilities across the organisation and champion automation and modern engineering practices.

Your skills and qualifications

• Experience as a Staff Engineer, Principal Engineer or a Senior Engineer operating at a broader technical leadership level, with a track record of influencing engineering direction beyond a single team.
• Strong background in data platforms, distributed systems and cloud-native architectures, with experience shaping technical direction across teams and stakeholders.
• Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions.
• Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg or similar table formats, as well as batch and streaming processing.
• Knowledge of data quality, governance, cataloguing and observability tools (e.g. Datadog), with DBT or AI-assisted engineering practices as a plus.

Your benefits

• Premium medical and dental care
• Life insurance
• Flex Benefits – Worksmile Cafeteria System (Multisport, vouchers, tickets etc.)
• Employee Referral Program
• Hackathons, Knowledge Sharing Hours, and in-house projects
• Tech and sport communities
• Events and integration parties
• Charity initiatives and 2 extra volunteer days
• English/German classes
• Game room and chillout zone

Our commitment

Equal opportunities are important. Diversity and inclusion are considered critical to success, and applications are encouraged from everyone regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, or any other characteristic.