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Planday

SaaS workforce management with scheduling

Lead Engineer Data

Data EngineeringUpdated on Nov 6
Full-time

About the Job

Requirements

  • Deep, hands-on Snowflake and dbt experience, including modelling, semantic layers, agents and skills, testing, performance tuning, and cost tuning.
  • Production experience with a pipeline orchestrator, ideally Dagster or a similar tool such as Airflow or Prefect, including dependent workloads, partial failures, and observability.
  • Experience with modern cloud infrastructure such as Azure, AWS, or GCP, and Kubernetes for deploying and operating containerised workloads, plus infrastructure as code using Terraform.
  • Strong SQL and Python skills for pipelines, services, and automation.
  • Software engineering discipline across CI/CD, testing, and code review.
  • Ability to turn technical trade-offs into clear narratives that help stakeholders decide and trust the work.
  • Experience operating data systems, including incident response, cost management, and data privacy practices.

Responsibilities

  • Set the architectural direction of the data platform so it serves analytics, product engineering, and AI/ML from one coherent design, collaborating with Platform and ML engineering on shared infrastructure.
  • Design dbt models, the semantic layer, and quality standards, including validation and lineage for trustworthy downstream use.
  • Own orchestration and observability in Dagster, and onboard new sources in a scalable way.
  • Innovate on self-serve and AI-enabled analytics, from semantic models and agentic workflows to the BI layer.
  • Build historical and low-latency foundations that enable predictive and real-time use cases.
  • Introduce improved modelling standards, tooling, and development environments.
  • Keep the platform reliable, performant, cost-effective, and compliant.

About the Company

Planday

SaaS workforce management with scheduling

Planday provides a Software-as-a-Service platform for workforce management focused on hourly workers in hospitality, healthcare, and retail. It helps businesses handle real-time scheduling, shift swapping, payroll integration, and team communication through a mobile app. Clients subscribe to plans that scale with their needs, paying recurring fees based on size and features. The product works by letting managers and employees view and adjust schedules in real time, swap shifts, send messages, and sync payroll data, all within one mobile-accessible system. What sets Planday apart is its focus on industries with large numbers of hourly staff and its integrated, end-to-end solution combining scheduling, communication, and payroll in a single platform, designed for easy adoption and mobile use. Its goal is to reduce administrative overhead and boost operational efficiency for businesses managing large hourly workforces.

Company size
201-500
Company stage
Series C
Total funding
$56.3M
Headquarters
Copenhagen, Denmark
Founded
2004

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