futureproof consulting
1 - 10 employees
Founded 2015
💼 Consulting
📣 Marketing
🔒 Cybersecurity
Consulting • Marketing • Cybersecurity
futureproof consulting is a consulting firm focused on data, analytics, cybersecurity, and IT infrastructure. They provide advisory and implementation services to help organizations secure, manage, and derive value from their data and analytics platforms, and support enterprise infrastructure needs. Based in Říčany, Czech Republic, they operate as a B2B consultancy and publish contact and company details for client engagement.
Senior Data Engineer, Databricks
Job not on LinkedIn
🕒 January 7
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futureproof consulting
1 - 10 employees
Founded 2015
💼 Consulting
📣 Marketing
🔒 Cybersecurity
Consulting • Marketing • Cybersecurity
futureproof consulting is a consulting firm focused on data, analytics, cybersecurity, and IT infrastructure. They provide advisory and implementation services to help organizations secure, manage, and derive value from their data and analytics platforms, and support enterprise infrastructure needs. Based in Říčany, Czech Republic, they operate as a B2B consultancy and publish contact and company details for client engagement.
📋 Description
• Design, build, and maintain ETL/ELT pipelines using Python and Databricks • Extract, transform, and load data from multiple source systems into the data lake and data warehouse • Create data transformation rules and data models for analytics and reporting • Implement data quality checks, logging, monitoring, and orchestration practices • Maintain data catalogues and support clear data lineage • Collaborate with Product Analysts, Data Scientists, and ML Engineers to improve data availability and usability • Use test-driven development practices where relevant • Work with Git-based version control, branching strategies, Docker, and CI/CD tools • Prepare and maintain clear technical and SDLC documentation
🎯 Requirements
• 7+ years of relevant data engineering experience • Strong hands-on experience with Python • Practical ETL/ELT experience on Databricks • Strong knowledge of AWS cloud services • Solid database experience and strong SQL skills • 2–3 years of Spark/PySpark experience • Experience with Git, Docker, and CI/CD tools • Good understanding of SDLC documentation • Ability to communicate clearly with engineering, analytics, and data science teams • Experience in healthcare, pharma, or similar • Experience with data governance, data catalogues, or data lineage tools is nice to have • Experience supporting machine learning or advanced analytics teams is nice to have • Experience in regulated or enterprise environments is nice to have • Knowledge of modern data lakehouse architecture is nice to have
🏖️ Benefits
• Remote work model • 40 hours/week allocation
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