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Senior Data Engineer @ - Wrocław, Polska - Showpad
Opis
Senior Data Engineer Location Qualifications:
Wroclaw (Remote working available with option to come into the office)
Position Overview :
As a Senior Data Engineer, you'll be joining our Data Platform team within the data world, alongside with Data Science, Analytical Enablement and Reporting teams.
In this team, you'll have the opportunity to improve our data platform, allowing our internal customers to easily consume qualitative data, therefore creating a data-driven environment.
Company Highlights:
Founded in 2011, Showpad is the world's leading Enablement Operating System (e OS).
We align Sales and Marketing teams around impactful content and measurable engagement, enabling sellers to build unique buying experiences and continuously improve conversion rates.
With dual-headquarters in Ghent and Chicago, regional offices in London, Munich and Wroclaw, and remote hubs across the US and EMEA, Showpad is powered by a diverse global workforce of more than 550 people.
Our culture is based on flexibility, trust and setting people up for success.
At Showpad, we foster inclusion, innovate for impact and never stop to raise the bar.
We take serious care of our people but never take ourselves too seriously.
What you can expect from Showpad We welcome every voice and are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated.
We're building a best-in-class experience for our employees and are always identifying opportunities to encourage our team to be their authentic selves.
Whether it's additional company-wide days off, paid time off to volunteer at non-profit organisations, personal development opportunities or professional stretch assignments, you can expect Showpad to support you.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.
Senior Data Engineer Location Qualifications:
Wroclaw (Remote working available with option to come into the office)
Position Overview :
As a Senior Data Engineer, you'll be joining our Data Platform team within the data world, alongside with Data Science, Analytical Enablement and Reporting teams.
In this team, you'll have the opportunity to improve our data platform, allowing our internal customers to easily consume qualitative data, therefore creating a data-driven environment.
Company Highlights:
Founded in 2011, Showpad is the world's leading Enablement Operating System (e OS).
We align Sales and Marketing teams around impactful content and measurable engagement, enabling sellers to build unique buying experiences and continuously improve conversion rates.
With dual-headquarters in Ghent and Chicago, regional offices in London, Munich and Wroclaw, and remote hubs across the US and EMEA, Showpad is powered by a diverse global workforce of more than 550 people.
Our culture is based on flexibility, trust and setting people up for success.
At Showpad, we foster inclusion, innovate for impact and never stop to raise the bar.
We take serious care of our people but never take ourselves too seriously.
What you can expect from Showpad We welcome every voice and are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated.
We're building a best-in-class experience for our employees and are always identifying opportunities to encourage our team to be their authentic selves.
Whether it's additional company-wide days off, paid time off to volunteer at non-profit organisations, personal development opportunities or professional stretch assignments, you can expect Showpad to support you.
All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.
, GDPR, CCPA), Act as a mentor towards team members, promoting best practices] Requirements:
Data Lake, SQL, Python, ETL, dbt, Data visualization, Communication skills Tools: Confluence, Agile, Scrum.
Additionally:
Free coffee, Canteen, Free beverages, Free lunch, In-house trainings, In-house hack days, Modern office, No dress code, Startup atmosphere, Free snacks.