{"id":2270019,"url":"https://alion.io/job/planday-data-engineer","title":"Data Engineer","company":{"id":1837792,"name":"Planday","domain":"planday.com","url":"https://alion.io/company/planday-com","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Copenhagen, Denmark"],"countries":["DK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":58000,"max_usd":158000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":865},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Xero","optional":false}],"status":"live","first_seen_at":"2026-09-16T14:18:32Z","employer_posted_date":"2026-09-16","last_verified_at":"2026-10-17T19:27:19Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"description":"Our Purpose\nPlanday 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.\nPowered 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.\nFounded 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.\nHow you’ll make an impact\nAs 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.\nWhat you’ll do\nCollaborate with Data and Platform teams to advocate for and influence the design of upstream data pipelines to support AI/ML requirements.\n\nExtract and transform large-scale datasets from various sources specifically for AI/ML prototyping and model training.\n\nDesign and deploy custom, production-ready data pipelines that power agentic AI workflows and real-time ML inference.\n\nImplement robust data validation and monitoring for ML-specific features, ensuring data quality and lineage for production models.\n\nSuccess looks like\nStrong working relationships with the Data and Platform teams that result in AI-ready data infrastructure.\n\nReduced time-to-market for AI prototypes through efficient data extraction and preparation workflows.\n\nHigh-availability production pipelines supporting live ML models and agentic workflows with minimal data latency.\n\nConsistent delivery of high-quality, feature-rich datasets that directly improve model performance and agent reliability.\n\nProactive identification of data gaps and the successful implementation of new data sources for advanced AI capabilities.\n\nWhat you’ll bring with you\nAt least 3 years of professional experience in data engineering with a focus on supporting ML/AI systems in production.\n\nProficiency in SQL and Python for building complex ETL/ELT pipelines and data manipulation for ML.\n\nUnderstanding of MLOps principles, including data versioning and feature store management.\n\nKnowledge of vector databases, embeddings, and data orchestration tools relevant to LLM and agentic architectures.\n\nProven ability to collaborate across engineering disciplines to influence data architecture at the platform level.\n\nFamiliarity with Snowflake, dbt, Databricks, and modern cloud infrastructure (AWS/GCP/Azure).\n\nAt Planday, we offer you\nBenefits like pension, health insurance, inclusive support for new parents and generous vacation\n\nOn top of your annual base salary, you are offered to be part of an Employee Share Plan\n\nGrowth and progression opportunities - we want you to grow with us\n\nFlexible remote work\n\nStrong social culture with lots of team and company activities\n\nMeaningful work - everyone at Planday contributes to improving the lives of shift workers around the globe\n\nHealthy work-life balance and autonomous approach to work. We trust in you and your abilities\n\nFinally, 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.\nAt 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. 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