Taxfix - Senior Data Platform Engineer (d/f/m)
Requirements
• 4+ years of experience in Data Engineering or a similar role (backend engineer working on data-intensive systems counts) • 4+ years • 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 • Experience with event-driven data pipelines • Expert with Airflow - you’ve built DAGs with proper task dependencies, retries, and monitoring • Expert with Airflow • Strong Snowflake or other modern data warehouse knowledge - resource management (compute/warehouse sizing, concurrency), security & governance (roles/RBAC, column/row-level masking), columnar storage & partitioning/clustering concepts, and query performance & cost optimization in production • Strong Snowflake or other modern data warehouse knowledge - • 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 • Infrastructure-as-code • K8S and Docker containerization - you package and deploy your own work • K8S and Docker containerization • Data quality mindset - you profile data, validate assumptions, build checks, and don’t trust that “the data looked clean” • Data quality mindset • Data for AI readiness - you have experience preparing data for ML and AI use cases with appropriate governance, lineage, and privacy controls • Data for AI readiness • 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 share effective practices with the team • AI-enabled engineering practices
Responsibilities
• Contribute to and operate cloud platform infrastructure - manage GCP resources (GCS, Dataflow, Dataproc, k8s, Pub/Sub…), provision and maintain environments with Terraform and help ensure the platform is reliable, predictable, cost-efficient and scalable • Contribute to and operate cloud platform infrastructure • Build and maintain ingestion pipelines that capture changes from application databases, APIs, SaaS and deliver clean, analytics-ready tables to our cloud data warehouse • Build and maintain ingestion pipelines • Operate and improve our orchestration layer - scheduling, retries, SLA tracking, and observability for data pipelines • Operate and improve our orchestration layer • Design data models with proper layering that handle real-world data complexity: out-of-order events, schema evolution, late arrivals, and backfills • Design data models • Own data quality monitoring - build validation, monitoring, and alerting that catches problems before downstream consumers do • Own data quality monitoring • Implement privacy and compliance controls - anonymization, pseudonymization, access policies, and deletion propagation (GDPR right-to-be-forgotten) across raw and derived layers • Implement privacy and compliance controls • 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 • Prepare data for ML and AI use cases • Use AI effectively in engineering workflows - leverage AI-assisted development where it improves delivery quality and speed, and share best practices with the team • Use AI effectively in engineering workflows • Build scalable AI platform capabilities - develop reusable, production-grade patterns for AI workloads (governed data access, privacy-safe telemetry, evaluation datasets, and cost/quality monitoring) that multiple teams can adopt • Build scalable AI platform capabilities
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. • Excited? So are we. Learn more about Team Taxfix on our blog and get a glimpse of our culture.
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