Data Engin­eer (m/f/d)

Key Require­ments 

• At least 2 years of exper­i­ence in sim­ilar positions
• Solid know­ledge in Snow­flake – SnowPro Core Cer­ti­fied Data Mod­el­ing and Data Warehousing
• Basic under­stand­ing of AWS Cloud envir­on­ments and their integ­ra­tion with data ware­house solutions.
• Strong DWH exper­i­ence with diverse data mod­els (such as Inmon, Kim­ball, or Data Vault 2.0)
• Exper­i­ence with DB access tools like Oracle SQL Developer, DBeaver etc.
• Exper­i­ence with Python
• Exper­i­ence with SQL
• Flu­ent in Eng­lish and strong com­mu­nic­a­tion skills
• Avail­ab­il­ity to travel once a quarter to Munich

Nice-to-Have

• Resi­li­ence and the abil­ity to nav­ig­ate change and adapt
• Exper­i­ence work­ing in a fast-paced start-up environment

• Col­lab­or­ate with a tal­en­ted inter­na­tional team of engin­eers, archi­tects, and cloud experts to design and imple­ment data-driven solu­tions from concept to deployment.
• Trans­late busi­ness needs, user stor­ies, and tech­nical require­ments into scal­able and effi­cient data ware­house solutions.
• Com­mu­nic­ate your tech­nical decisions to team mem­bers and stake­hold­ers using clear, access­ible lan­guage. Your solu­tions should be stra­tegic, adapt­able, and well-aligned with the pro­ject goals.
• Pro­act­ively sug­gest and imple­ment improve­ments to exist­ing pro­cesses, engage in tech­nical dis­cus­sions, and lead code reviews, provid­ing con­struct­ive feed­back and innov­at­ive solutions.
• Be involved in the entire devel­op­ment life­cycle of data pipelines and ware­house archi­tec­tures, apply­ing crit­ical think­ing, and lever­aging advanced tools and meth­od­o­lo­gies to ensure impact­ful results.
• Embrace a bold and resi­li­ent mind­set, exper­i­ment­ing with new approaches and learn­ing from chal­lenges to achieve suc­cess more often.

Key Require­ments 

• At least 2 years of exper­i­ence in sim­ilar positions
• Solid know­ledge in Snow­flake – SnowPro Core Cer­ti­fied Data Mod­el­ing and Data Warehousing
• Basic under­stand­ing of AWS Cloud envir­on­ments and their integ­ra­tion with data ware­house solutions.
• Strong DWH exper­i­ence with diverse data mod­els (such as Inmon, Kim­ball, or Data Vault 2.0)
• Exper­i­ence with DB access tools like Oracle SQL Developer, DBeaver etc.
• Exper­i­ence with Python
• Exper­i­ence with SQL
• Flu­ent in Eng­lish and strong com­mu­nic­a­tion skills
• Avail­ab­il­ity to travel once a quarter to Munich

Nice-to-Have

• Resi­li­ence and the abil­ity to nav­ig­ate change and adapt
• Exper­i­ence work­ing in a fast-paced start-up environment

• Col­lab­or­ate with a tal­en­ted inter­na­tional team of engin­eers, archi­tects, and cloud experts to design and imple­ment data-driven solu­tions from concept to deployment.
• Trans­late busi­ness needs, user stor­ies, and tech­nical require­ments into scal­able and effi­cient data ware­house solutions.
• Com­mu­nic­ate your tech­nical decisions to team mem­bers and stake­hold­ers using clear, access­ible lan­guage. Your solu­tions should be stra­tegic, adapt­able, and well-aligned with the pro­ject goals.
• Pro­act­ively sug­gest and imple­ment improve­ments to exist­ing pro­cesses, engage in tech­nical dis­cus­sions, and lead code reviews, provid­ing con­struct­ive feed­back and innov­at­ive solutions.
• Be involved in the entire devel­op­ment life­cycle of data pipelines and ware­house archi­tec­tures, apply­ing crit­ical think­ing, and lever­aging advanced tools and meth­od­o­lo­gies to ensure impact­ful results.
• Embrace a bold and resi­li­ent mind­set, exper­i­ment­ing with new approaches and learn­ing from chal­lenges to achieve suc­cess more often.