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(senior) Data / Analytics Engineer (all Genders)

Última atualização 2024-06-24
Expira 2024-07-24
ID #2169698869
40,000 €
(senior) Data / Analytics Engineer (all Genders)
Portugal, Porto, Porto,
Modificado May 26, 2024

Descrição

Press Tab to Move to Skip to Content Link Select how often (in days) to receive an alert: Select how often (in days) to receive an alert: (Senior) Data / Analytics Engineer (all genders) Porto, PT, 4149-011 Join Team Viewer, the leader in remote connectivity software. We harness the potential of cutting-edge technologies such as Augmented Reality and Artificial Intelligence to push the boundaries of innovation and shape the future of digitalization. Our team of more than 1,500 employees spans different continents, cultures and disciplines. With our inclusive values, we celebrate the unique perspectives and talents each individual brings to the table and foster a dynamic work environment where new ideas thrive. Become part of our winning team and help us create a world that works better. Responsibilities Join our Data department inside R&D and help us shape the product decisions and processes of Team Viewer with the help of data. Act as the interface between development and internal stakeholders, which will give you the opportunity to contribute to our Operational Analytics function and to help the business derive value from our analytics data. Maintain and improve data applications that help to optimize our Team Viewer products Actively collaborate with BI, Product Analytics, and other data-related teams to ensure that the data products and insights generated are aligned with business needs and objectives Implement rigorous data testing startegies to guarantee data integrity, reliability and quality across all data models and pipelines, enabling trust and accuracy in decision-making processes Design and build scalable data products using dbt, leveraging existing resources to develop maintainable and reusable solutions that empower other stakeholders Optimize flows and processes in the data warehouse to work with large amounts of data of a product which has millions of users all over the world Requirements University degree in Computer Science, Mathematics, Statistics or Information Systems or equivalent experience with a focus on data 2+ years of relevant professional data experience Excellent SQL skills are required Proven experience in variety of projects in data handling & analysis Good knowledge in one or more of the following tools isa plus: Git, DBT or Big Query Highly motivated to solve complex problems and being ableto go out of the comfort zone in close collaboration with other team members Goal-oriented and eager to make a real difference to the business Great communication skills which compliment your interactions with internal and external stakeholders with and without data knowledge Fluency in English is mandatory, further languages are a plus What we offer Onsite Onboarding in our HQ office for an optimal start Great compensation and benefits packages including company achievement bonus and company stocks, regular salary reviews Public transport friendly offices Special terms for local gyms Access to Corporate Benefitsplatformwith manydiscounts Regular Team eventsand company-wide celebrations Open door policy , no dress code rules, frequent all Hands and Leadership Lunches Hybrid and Flexiblework time with up to 50% home office Work From Abroad Program allowing up to 40 days of work outside your contracting country We celebratediversityas one of core values, join and drive one of the c-a-r-e initiatives together with us! Team Viewer is an equal opportunities employer and is committed to building an inclusive culture where everyone feels welcome and supported. We C-A-R-E and understand that our diverse, values-driven culture makes us stronger. As we continue to grow as a company, we also focus on enabling our employees to grow both personally and professionally. We are proud to have an open and embracing workplace environment that will empower you to be your best no matter your gender, civil or family status, sexual orientation, religion, age, disability, education level, or race. Provider Description Enabled SAP as service provider "route" is used for session stickiness"career Site Company Id" is used to send the request to the correct data center"JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor Provider Description Enabled You Tube
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Detalhes do trabalho

Tipo de emprego: Tempo total
Tipo de contrato: Permanente
Tipo de salário: Durante o ano
Ocupação: (senior) data / analytics engineer (all genders)
Min. Salário: 30000

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