Databricks Data Engineer

Reposted 3 Days Ago
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Praha, Hlavní město Praha, CZE
Hybrid
Mid level
Information Technology • Consulting
The Role
Design and maintain data architectures, build data pipelines, and communicate with stakeholders to enhance data reliability and quality.
Summary Generated by Built In

Billigence is a Business Intelligence, Data Analytics & AI consultancy with a global reach bringing insights to our customers and delivering the best business outcomes using data. We provide professional services in areas including Data Governance, Cloud Architecture, Data Engineering, Data Insights, and more. Our mission is to transform the way people work with data.   

 

Get to know us better at our LinkedInCocuma profile or Instagram ⭕ 

We're looking for Databricks Data Engineers at every stage of their journey, from your first year building pipelines to architects shaping how our clients' data platforms are built. If Databricks is your toolset of choice (or the one you want to master), we want to talk to you.


What will you do

  • Design, build, and maintain scalable data pipelines on Databricks — Delta Lake, Unity Catalog, workflows, notebooks (PySpark/SQL)
  • Work end-to-end: from raw ingestion to clean, reliable outputs ready for analytics and modeling
  • Apply medallion architecture and best practices for data reliability, performance, and cost efficiency
  • Collaborate with architects, consultants, and PMs — translating technical complexity into solutions clients actually understand
  • Depending on seniority: mentor junior engineers, lead architecture decisions, or define technical standards across projects
  • Contribute to knowledge sharing through internal sessions, webinars, and tech talks
  • Keep growing: new Databricks features, certifications, and bring that knowledge back to the team

What we're looking for

  • Hands-on experience with Databricks and strong SQL/Python skills — from your first year building pipelines to years of production experience
  • Juniors: building on Azure and Python fundamentals
  • Mid-level: independently designing & building pipelines (Delta Lake, Unity Catalog, performance tuning)
  • Senior/Architect: proven track record designing Databricks-based platforms and leading technical decisions across client projects
  • Solid experience with Azure, at any level
  • Experience with AI coding tools, like Claude Code or other
  • Hands-on, proactive approach — you take ownership and follow through
  • Experience with BI/visualization tools or consulting/client-facing work is a plus
  • Fluent Czech and English on a professional level

What can you expect

  • Work on international projects using cutting-edge data tools – seriously, the best tech available   
  • Solid benefits package: extra 10 days of leave, Multisport card, generous annual learning budget, open bonus structure, local and international knowledge sharing sessions, and more 
  • Hybrid flexibility – we meet in the Prague office regularly (around 2–3 days a week), and you’re free to choose what works best for you beyond that 
  • AI-friendly by default – we stay current, experiment with new tools, and treat AI as a genuine work partner 
  • Genuinely collaborative culture, that actually means something: real teamwork, support, knowledge sharing, flexibility and fun  
  • Continuous learning and development to keep your skills sharp  
  • A diverse, global team of friendly data professionals, who really get along  
  • If you're a keen sportsman, you'll find plenty of company here 🏃‍♀️ 

 

By submitting your application, you confirm that you have read and understood our Data Privacy Notice for Job Applicants, available under this link. 

Skills Required

  • Good knowledge of SQL, Python or R
  • Experience deploying solutions in Cloud (Azure, AWS, GCP)
  • Excellent communication skills
  • Bachelor's degree or relevant work experience
  • Hands-on approach and proactivity
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The Company
HQ: Sydney
198 Employees
Year Founded: 2009

What We Do

We are headquartered in Sydney, Australia, with offices in Europe (London, Prague, Frankfurt, Stockholm, Warsaw), Bangalore, Singapore, New Zealand & United States. Billigence is a BI Consultancy and contingent labour service company with a growing customer base of large corporations across different industries as well as young and agile internet-based businesses. We help organisations big and small build scalable AI solutions that drive value by enhancing their data governance, aligning strategy and empowering their people. As a company we source and hire innovative data enthusiasts and believe data is the most powerful asset of today's businesses. That is why at Billigence, we are helping our clients to drive the business value of their data. We do this through our data proposition comprising of data consolidation and enrichment, data visualisation and analytics and data governance components. We deliver market leading recruitment services for temporary and contract labour hires to supplement our clients workforces. Our vision is to become leaders in helping companies to transform into digital age and reach their full potential by leveraging the power of their data. Billigence also leverages partnerships with some of the world’s most innovative data companies such as Snowflake, Collibra, Alteryx, Salesforce, Tableau, dbt Labs, H2O.ai, Matillion, Google Cloud Platform, Microsoft, Keboola & others

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