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Nilfisk

Global manufacturer of professional cleaning equipment

Databricks Data Engineer

Data EngineeringPosted on Nov 12
Full-timeBudapest, HungaryNo salary listed

About the Job

Requirements

  • Several years of relevant data engineering experience, including substantial hands-on Databricks experience in production.
  • Proven experience working directly with finance teams and delivering finance data, such as financial reporting, general ledger, cost and profitability analysis, or planning and forecasting.
  • Strong skills in Databricks, Apache Spark, PySpark, Python, SQL, and Delta Lake.
  • Experience with Unity Catalog, Databricks Workflows, data governance, and lineage.
  • Strong dimensional modelling skills, including facts, dimensions, grain, keys, hierarchies, and slowly changing dimensions.
  • Experience with CI/CD, automated testing, performance tuning, and production support.
  • Fluent English.
  • Experience integrating ERP finance data, such as SAP or Microsoft Dynamics.
  • Cloud architecture knowledge in Azure, AWS, or Google Cloud, including infrastructure as code.
  • Experience supporting semantic models and BI tools such as Power BI.
  • Databricks, data architecture, or cloud certifications.
  • Experience from a merger, acquisition, or system-integration programme.

Responsibilities

  • Build finance-grade data products on Databricks by designing and developing pipelines with Python, PySpark, Spark SQL, Delta Lake, and Databricks Workflows to turn ERP and finance source data into curated, reconciled data products.
  • Translate finance business rules, including general ledger, cost centres, consolidation, month-end, and planning needs, into documented source-to-target mappings and transparent transformation logic.
  • Implement quality controls, reconciliation to source, lineage, monitoring, and alerting so report numbers tie back to the books.
  • Contribute to lakehouse architecture by helping design layered architectures, dimensional and domain-oriented models, and batch, incremental, streaming, and CDC integration patterns.
  • Apply and help shape security, ownership, and access standards with Unity Catalog, and contribute to data contracts covering schemas, keys, grain, refresh frequency, and quality.
  • Advise the BI team on facts, dimensions, hierarchies, and historical data handling so its semantic models are robust and performant.
  • Apply CI/CD, automated testing, and controlled releases; optimise Spark jobs and platform costs; and contribute to design reviews and knowledge sharing.

Desired Qualifications

  • Experience integrating ERP finance data, such as SAP or Microsoft Dynamics.
  • Cloud architecture knowledge in Azure, AWS, or Google Cloud, including infrastructure as code.
  • Experience supporting semantic models and BI tools such as Power BI.
  • Databricks, data architecture, or cloud certifications.
  • Experience from a merger, acquisition, or system-integration programme.

About the Company

Nilfisk

Global manufacturer of professional cleaning equipment

Nilfisk is a global manufacturer of professional cleaning equipment with more than a century of experience. The company makes and sells a wide range of machines for cleaning needs in commercial, industrial, and consumer settings, including high-pressure cleaners, vacuums, and floor cleaning equipment. Its products are designed to remove dirt and grime efficiently using powered cleaning methods such as water jets, suction, and scrubbing, with options sold directly, through a network of dealers, and via an online store for machines, accessories, and spare parts. Compared to competitors, Nilfisk emphasizes long-lasting quality and efficiency, aiming to lower the total cost of cleaning for customers by delivering reliable equipment and complete cleaning solutions. The company’s goal is to provide effective cleaning technologies and services that help facilities manage cleaning needs more cost-effectively across industries such as manufacturing, facility management, and commercial cleaning.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Brøndbyvester, Denmark
Founded
1906

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