Data Engineer

Planday; København; Hybrid; DKK 700,000 - 900,000; Full time

Benefits offered by this job

Pension

Health insurance

Employee Share Plan

Flexible remote work

Growth opportunities

Job summary

Planday, a Xero company, is seeking a Data Engineer to bridge raw data and AI-powered insights within our scheduling platform. You will design upstream data pipelines, extract and prepare datasets for ML prototypes and production models, and build production-ready data flows powering agentic AI features for users worldwide.

Your role requires collaborating with Data and Platform teams, implementing robust data validation, and optimizing for low latency to ensure reliable, scalable AI

Qualifications

• 3+ years in data engineering for ML/AI in production.
• Proficient in SQL and Python for ETL/ELT pipelines.
• Knowledge of MLOps, data versioning, and feature stores.
• Experience with vector databases and embeddings for LLMs.

Responsibilities

• Collaborate with Data and Platform teams to design upstream data pipelines.
• Extract and transform large-scale datasets for AI/ML prototyping and model training.
• Build production-ready data pipelines powering agentic AI workflows and real-time ML.
• Implement data validation and monitoring for ML features and data lineage.

Skills

Data engineering

SQL

Python

ML/AI systems

MLOps

Vector databases

Embeddings

Cloud platforms

Cross-team collaboration

Tools

Snowflake

dbt

Databricks

SQL tooling

Job description

Our Purpose

Planday from Xero is a leading digital solution that uncomplicates everyday scheduling and workforce management by making it easier for businesses and shift workers around the world to communicate, collaborate, and get work done.

Powered by a community of local industry experts, Planday provides a best-in-class digital platform that is easy to use, accurate, secure, and compliant with local needs and standards. From payroll and accounting to POS and reporting, its open API and tech ecosystem is scalable to fit shifting business needs and to build an engaged, flexible workforce.

Founded in 2004, Planday is headquartered in Copenhagen, Denmark and supports over 400,000 users across Europe, Australia and the US. Planday was acquired by Xero in 2021.

How You'll Make An Impact

As a Data Engineer for Agentic AI & ML, you will be the architectural bridge between raw data and customer-facing intelligence. You will collaborate deeply with our Data and Platform teams to influence upstream pipelines, ensuring high-fidelity data is ready to power our scheduling and planning software. You will be responsible for extracting, preparing, and optimizing complex datasets to fuel prototyping and production‑grade ML solutions. By building custom pipelines for agentic systems, you will enable our users to work faster, better, and better informed, directly enhancing the user experience in Planday through intelligent, autonomous workforce management.

What You'll Do

• Collaborate with Data and Platform teams to advocate for and influence the design of upstream data pipelines to support AI/ML requirements.
• Extract and transform large-scale datasets from various sources specifically for AI/ML prototyping and model training.
• Design and deploy custom, production‑ready data pipelines that power agentic AI workflows and real‑time ML inference.
• Implement robust data validation and monitoring for ML‑specific features, ensuring data quality and lineage for production models.

Success looks like

• Strong working relationships with the Data and Platform teams that result in AI‑ready data infrastructure.
• Reduced time-to-market for AI prototypes through efficient data extraction and preparation workflows.
• High‑availability production pipelines supporting live ML models and agentic workflows with minimal data latency.
• Consistent delivery of high‑quality, feature‑rich datasets that directly improve model performance and agent reliability.
• Proactive identification of data gaps and the successful implementation of new data sources for advanced AI capabilities.

What You'll Bring With You

• At least 3 years of professional experience in data engineering with a focus on supporting ML/AI systems in production.
• Proficiency in SQL and Python for building complex ETL/ELT pipelines and data manipulation for ML.
• Understanding of MLOps principles, including data versioning and feature store management.
• Knowledge of vector databases, embeddings, and data orchestration tools relevant to LLM and agentic architectures.
• Proven ability to collaborate across engineering disciplines to influence data architecture at the platform level.
• Familiarity with Snowflake, dbt, Databricks, and modern cloud infrastructure (AWS/GCP/Azure).

At Planday, we offer you

• Benefits like pension, health insurance, inclusive support for new parents and generous vacation
• On top of your annual base salary, you are offered to be part of an Employee Share Plan
• Growth and progression opportunities – we want you to grow with us
• Flexible remote work
• Strong social culture with lots of team and company activities
• Meaningful work – everyone at Planday contributes to improving the lives of shift workers around the globe
• Healthy work‑life balance and autonomous approach to work. We trust in you and your abilities

Finally, our offices are not just workplaces (although they are pretty nice and well‑located, we have to say!). Plandayers are open and welcoming and at Planday, everyone has the freedom and support to show their true self at work.

At Planday, we firmly believe that diversity and inclusion are the cornerstones of innovation and a vibrant workplace culture. As an equal opportunity employer, we strive to create an equitable experience for all candidates throughout the process. Please let us know if you need any reasonable adjustments during the application or interview process.