Senior Data Product Developer

Native Instruments; Burgos; Presencial; EUR 55.000 - 85.000; Jornada completa

Descripción de la vacante

A leading company in sonic innovation is seeking a Senior Data Product Developer to enhance its data ecosystem. This role includes designing scalable data models, collaborating across various departments, and contributing to impactful data strategies. Ideal candidates will have extensive experience in data analytics and strong proficiency in SQL and Python.

Servicios

25 days paid holiday per year

Global Travel Insurance coverage

Public Health, Pension & Disability Insurance coverage

Free software downloads and reduced prices on hardware

Formación

• Extensive experience in Business Intelligence and Analytical roles.
• Strong proficiency in SQL and data modeling best practices.
• Significant experience with Python scripting for data processing.

Responsabilidades

• Design and develop efficient data models and mart schemas.
• Collaborate with stakeholders to document business requirements.
• Create engaging training materials for effective team learning.

Conocimientos

Business Intelligence

Data Visualization

Data Modeling

SQL

Python

Communication

Herramientas

Metabase

Qlik Sense

Looker

Google Data Studio

BigQuery

Descripción del empleo

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About Us

For over 25 years, Native Instruments has been at the forefront of sonic innovation. Guided by our mission to inspire and enable creators to express themselves, we develop integrated audio hardware and software solutions for musicians, producers, engineers, and DJs of all genres and levels of experience.

About Us

For over 25 years, Native Instruments has been at the forefront of sonic innovation. Guided by our mission to inspire and enable creators to express themselves, we develop integrated audio hardware and software solutions for musicians, producers, engineers, and DJs of all genres and levels of experience.

Native Instruments embraces diversity and a respect for all people. We are proud to be an equal opportunity employer and we believe the foundation of our dynamic and pioneering spirit starts with a fair and inclusive culture. At Native Instruments we value teamwork and passion, deliver inspiring experiences, continuously innovate and empower our communities, while also serving our planet.

All applicants will receive equal consideration for employment at Native Instruments and we encourage everyone to apply – regardless of gender identity, race, color, religion, sex, sexual orientation, national origin, genetics, disability, age, or any other characteristic protected by law.

Help us reach our goal in making the future of music diverse, inclusive and exciting! We encourage you to submit your application without the requirement for a photograph, identifying factors or personal status information.

About The Team

Our Data Analytics team is on an exciting journey to build a scalable, well-structured, and high-quality data ecosystem that empowers our strategic workstreams in marketing, customer experience, product and integrations. But our impact goes far beyond that. We support a wide variety of internal teams including Finance and HR, ensuring that every part of the business has the data they need to make informed decisions.

We’re in the process of standardizing our data practices, optimizing our reporting tools, and centralizing business logic, creating a huge opportunity to make a lasting impact. As part of this team, you’ll have the chance to work on diverse projects, collaborate across departments, and develop expertise in modern data technologies and best practices.

Join us and expect :

• A growing data landscape with improving data models, dashboards, and analytics workflows.
• Broad impact, from product usage analysis to financial reporting, HR analytics, and operational insights.
• Collaboration with Analytics Engineers, BI Developers, Data Engineers, Data Analysts, and key stakeholders.
• Growth opportunities, including learning new tools, owning key initiatives, and contributing to long-term strategy

If you're looking to contribute, grow, and work on diverse data challenges, join us!

Your Contribution

• Design and develop efficient and scalable data models and data marts (e.g.star schema, snowflake schema) using best practices for data warehousing and business intelligence that are optimized for self-service analytics tools
• Collaborate with business stakeholders (e.g. finance, marketing, operations) to gather and document detailed business requirements for new data models.
• Proactively identify new business areas and data domains that would benefit from centralized, standardized, and optimized data models
• Facilitate workshops and interviews to understand data usage patterns and reporting needs
• Create engaging training materials, including presentations, videos, and interactive exercises, to facilitate effective learning

Our Ideal Candidate

• Extensive experience in previous Business Intelligence, Data Visualization or Analytical roles
• Strong proficiency in dbt, SQL, dimensional data modeling and ETL processes
• Experience in product usage analytics
• Experience in multiple BI tools (e.g. Metabase, Qlik Sense, Looker, Google Data Studio)
• Significant experience with Python scripting for data extraction, processing, automation tasks
• Proven track record to translate business requirements into effective dashboards and reports
• Demonstrated ability to leverage APIs for robust data connections and efficient data exploration
• Exposure to IBM Planning Analytics or similar
• Familiarity with BigQuery or other cloud-based data warehouses.
• Excellent communication and interpersonal skills.
• Trust-based working hours
• Holidays : 25 days paid holiday per year
• Global Travel Insurance coverage
• Public Health, Pension & Disability Insurance coverage
• Free software downloads and reduced prices on hardware

Seniority level

• Seniority level Not Applicable

Employment type

• Employment type Full-time

Job function

• Job function Design and Engineering
• Industries Real Estate, Financial Services, and Capital Markets

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