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Databricks Data Engineer

Nilfisk

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Location
Budapest, Hungary
Workplace
Hybrid
Type
Full-time
Department
Engineering
Visa
Not sponsored
Source
Workday

Description

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.

 

  • 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. 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. Apply CI/CD, automated testing and controlled releases, optimise Spark jobs and platform costs, and contribute to design reviews and knowledge sharing.

 

What you bring

 

 

  • 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.
  • Strong dimensional modelling: 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.

 

Additional experience we value

 

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

 

Why join Nilfisk

 

  • Work in a truly multinational setting. Collaborate daily with colleagues across Europe and beyond, in Finance, IT, BI and the wider business.
  • Have an impact on our direction. 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. Databricks, Unity Catalog, Delta Lake and cloud-native engineering practices.
  • Growth. Contribute to design reviews, share knowledge with fellow engineers and grow with a data organisation that is being built for the combined company.

 

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


About 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. 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.

Skills

PythonAWSAzureCI/CDSQLSparkDatabricksData EngineeringSAPPower BIWorkdayERP

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