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Databricks Data Engineer

Nilfisk

Skills

Required

  • Databricks
  • data engineering
  • financial reporting
  • ledger
  • profitability analysis
  • planning
  • forecasting
  • Apache Spark
  • PySpark
  • Python
  • SQL
  • Azure / AWS / Google Cloud

Preferred

  • ERP finance
  • SAP
  • Microsoft Dynamics
  • semantic models
  • BI
  • Power BI
  • data architecture / cloud certifications
  • Spark
  • cost centres
  • consolidation

Databricks Data Engineer – Enterprise Data Platform & Finance (Budapest) We are looking for an experienced Data Engineer in Budapest to join our team. You will bring strong hands-on Databricks experience and work across business domains, partnering closely with Finance teams to build trusted data products You will shape the lakehouse that feeds financial reporting, planning and analytics across a international organization, your work will help define how we use data across our business that has exciting complexity from a current transformation.- . The role You are an engineer who enjoys hands-on technical work and also contributes to solution and data architecture. You report to the Head of Data Engineering and work closely with Finance, the BI team, source-system experts and enterprise architects.

About Nilfisk

  • At Nilfisk, BI is a separate team that owns the reporting and visualisation layer.
  • You advise them on facts, dimensions, hierarchies and historical data handling so their semantic models are robust and performant.
  • Strenghten engineering practices.
  • Collaborate daily with colleagues across Europe and beyond, in Finance, IT, BI and the wider business.
  • Have an impact on our direction.
  • Contribute to design reviews, share knowledge with fellow engineers and grow with a data organisation that is being built for the combined company.
  • 30th November #LI-Hybrid Let’s create a cleaner future together Cleaning has emerged as a key contributor to health and safety, sparked by technology and innovation.
  • At Nilfisk we are a driving force in this development.
  • Being part of Nilfisk means thinking outside of the box, bringing your inspiring ideas to life, sharing the results, and learning from your setbacks.
  • At Nilfisk, you have the freedom to be yourself and express your opinions.
  • Nilfisk is firmly committed to growth and sustainability in everything we do.
  • You will be empowered in your role as you collaborate with passionate colleagues on a quest to create a cleaner future.
  • Are you ready to make a change for a cleaner future ?
  • Nilfisk Nilfisk is a world-leading provider of professional cleaning equipment and services, founded in Denmark in 1906.
  • With approximately 4,500 employees across 45 countries and products sold in over 100 markets, we are committed to developing sustainable cleaning solutions that improve quality of life.
  • We are a proud member of the United Nations Global Compact.
  • We embrace diversity and equality with an environment of inclusion.

Responsibilities

  • Build finance-grade data products on Databricks.
  • Design and develop pipelines with Python, PySpark, Spark SQL, Delta Lake and Databricks Workflows that turn ERP and finance source data into curated, reconciled data products.
  • Partner with Finance.
  • Translate finance business rules (general ledger, cost centres, consolidation, month-end and planning needs) into documented source-to-target mappings and transparent transformation logic.
  • Drive reconciliation and data quality.
  • Implement quality controls, reconciliation to source, lineage, monitoring and alerting so numbers in reports tie back to the books.
  • Contribute to the lakehouse architecture.
  • Help design layered architectures, dimensional and domain-oriented models, and batch, incremental, streaming and CDC integration patterns.
  • Support platform governance.
  • 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.
  • Guide BI.
  • CI/CD, automated testing and controlled releases, optimise Spark jobs and platform costs, and contribute to design reviews and knowledge sharing.

Requirements

  • Several years of relevant data engineering experience, with substantial hands-on Databricks experience in production.
  • Proven experience working directly with finance teams and delivering finance data: 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.
  • facts, dimensions, grain, keys, hierarchies and slowly changing dimensions.
  • Experience with CI/CD, automated testing, performance tuning and production support.
  • Clear communication with business stakeholders and fluent English.
  • Cloud architecture knowledge in Azure, AWS or Google Cloud, including infrastructure as code.
  • Why join Nilfisk Work in a truly multinational setting.
  • Your input on architecture, standards and data products is listened to and respected, and your work is used across the group, not just in one team.
  • A modern stack.
  • Growth.

Preferred

  • Additional experience we value Experience integrating ERP finance data (for example SAP, Microsoft Dynamics or similar).
  • 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.

Benefits

  • Databricks, Unity Catalog, Delta Lake and cloud-native engineering practices.

Location and eligibility This position is based at our Budapest office (Buda-part tér 2, 1117 Budapest),.

We work in a hybrid model

with three days a week in our Budapest office Please note that relocation and immigration sponsorship is not available for this position.

How to apply

Send your CV and a short note describing your Databricks experience and your work with finance teams on our Workday Career site / Linkedin.

We believe that diversity is our greatest strength – as we achieve the best results from a wide variety of views and approaches.

We encourage everyone to apply for the position, regardless of origin, race, ethnicity, religion, physical or mental ability, gender, gender-identity or expression, sexual orientation, and age. Job applicant FAQ Do you have questions regarding the recruitment process or alike? Please visit our FAQ for job applicants .