Hybrid Staff Data Engineer

at Taxfix

• Job title: Staff Data Engineer
• Job type: Full Time
• Experience level: Lead
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Airflow, AWS, Azure, BigQuery, Cloud, Docker, Google Cloud Platform, Kubernetes, Python, SQL, Terraform
• Location requirements: Hybrid, Berlin, Germany

About the role

• Data Platform Engineer at Taxfix managing data infrastructures and pipelines to support analytics and AI-driven product features. Collaborating with cross-functional teams to ensure data reliability.

Responsibilities

• Build and maintain ingestion pipelines that capture changes from application databases, APIs, SaaS and deliver clean, analytics-ready tables to our cloud data warehouse
• Design data models with proper layering that handle real-world data complexity: out-of-order events, schema evolution, late arrivals, and backfills
• Own and evolve cloud platform infrastructure — manage GCP resources (GCS, Dataflow, Dataproc), provision and maintain environments with Terraform, and ensure the platform is cost-efficient and scalable
• Own data quality monitoring — build validation, monitoring, and alerting that catches problems before downstream consumers do
• Implement privacy and compliance controls — anonymization, pseudonymization, access policies, and deletion propagation (GDPR right-to-be-forgotten) across raw and derived layers
• Prepare data for ML and AI use cases — build governed, privacy-safe datasets and feature pipelines that ML engineers and data scientists can use for model training, evaluation, and production inference
• Operate and improve our orchestration layer — scheduling, retries, SLA tracking, and observability for data pipelines
• Define and raise the bar on engineering standards — code quality, testing, CI/CD, documentation, and infrastructure-as-code
• Evaluate and adopt new technologies that help the team achieve its goals across data management, analytics, and machine learning
• Incorporate AI into platform services — enable AI-assisted development workflows and build internal AI backend services as part of the data platform offering
• Communicate across domains — work closely with analytics, product, compliance, and engineering teams; translate between technical and business language
• Mentor and grow with the team — share what you learn, support others, and contribute to a culture of honest technical discussion

Requirements

• 6+ years of experience in Data Engineering or a similar role (backend engineer working on data-intensive systems counts)
• Strong Python skills for data pipeline development — you write production code, not just scripts
• Strong SQL skills — window functions, CTEs, query optimization are second nature
• Experience with event-driven data pipelines — CQRS, event ordering, idempotency, and the difference between initial load and incremental processing
• Expert with Airflow — you’ve built DAGs with proper task dependencies, retries, and monitoring
• Experience with Snowflake or/and BigQuery — you understand their architecture, performance characteristics, and how they differ from each other and from other analytical or operational tools
• Cloud platform experience — you’ve worked with GCP (GCS, Dataflow, Dataproc etc) or equivalent AWS/Azure services and understand how to manage cloud resources at scale
• Infrastructure-as-code — experience with Terraform, Helm, or similar tools for provisioning and managing cloud environments
• K8S and Docker containerization — you package and deploy your own work
• Data quality mindset — you profile data, validate assumptions, build checks, and don’t trust that “the data looked clean”
• Data for AI readiness — you understand what it takes to prepare data for ML and AI: governance, lineage, privacy controls, and reproducibility
• Awareness of data privacy requirements — you can identify PII, understand GDPR, and know how to implement anonymization and deletion across multiple data layers
• AI-enabled engineering practices — you actively use AI assistants and code generation tools to accelerate development and deliver and you can establish standards for their effective use across the team.

Benefits

• A chance to do meaningful, people-centric work with an international team of passionate professionals.
• Holistic well-being with free mental health coaching sessions and yoga.
• A monthly allowance to spend on an extensive range of services that you can use and roll over as flexibly as you like.
• Employee stock options for all employees—because everyone deserves to benefit from the success they help to create.
• 30 annual vacation days and flexible working hours.
• Work from abroad for up to six weeks every year. Just align with your team, and then enjoy your trip.
• Plenty of opportunities to socialise as a team. In addition to internal tech meetups, our international team hosts regular get-togethers—virtually and in person when possible.
• Free tax declaration filing, of course, through the Taxfix app—and internal support for all personal tax-related questions.
• Have a four-legged friend in your life? We’re happy to have dogs join us in the office.