Senior Analytics Engineer, London, England, United Kingdom

Senior Analytics Engineer

New Today

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, delivering inspiring experiences, continuously innovating and empowering 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.

We are looking for a Senior Analytics Engineer to be a foundational pillar of this transformation. You will not just contribute to our data ecosystem; you will own and critical components and some best practices of our data landscape.

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

Your Contribution

Architect and own the end-to-end data models that power our most critical business domains, from finance to product usage
Lead the technical migration of business-critical legacy logic into a scalable, well-tested and automated dbt environment
Lead the design and development of a business-wide semantic layer, creating a single source of truth for key business metrics and empowering stakeholders with consistent, reliable data
Partner proactively with stakeholders in finance,HR, product, engineering and marketing to move beyond requirements gathering. You will translate ambiguous business problems into robust, actionable data marts
Maintainour data modeling and warehousing best practices within BigQuery, making informed decisions on trade-offs between cost, performance and complexity
Champion data quality by designing and implementing comprehensive testing and validation frameworks within dbt to build cross-company trust in our data.
Produce clear and thorough documentation for all models, transformations, and validation procedures.

Our Ideal Candidate

High proficiency in SQL and established data warehousing and modeling techniques, with a focus on writing clean, efficient, and well-documented queries for complex transformations
Demonstrated experience designing and building scalable and modular dbt projects, leveraging advanced features like custom macros, incremental models and considered project structuring to solve complex business challenges
Excellent communication and collaboration skills with the ability to partner with data users across the business, translate ambiguous needs into technical plans, and clearly articulate the business value of your work to diverse audiences
A thorough approach to ensuring data accuracy and quality with experience developing and implementing robust data validation procedures and tests
Experience with cloud data warehouses like BigQuery with a focus on optimizing data models for cost, performance and long-term maintainability
Experience using Python to thoughtfully supplement SQL and dbt, particularly for complex data processing and automation tasks
Experience applying data modeling to solve specific business problems such as in product usage analytics to deliver actionable insights

Our Benefits

Remote First: We offer a range of options that allow you to work in a way that suits your lifestyle, either at one of our workspaces, a hybrid arrangement, or fully remote.
Shared workspace in London: Landmark Spaces
Workation: Work remotely anywhere in the world for up to 4 weeks per year
Flexible work model from one of our entity locations
Trust-based working hours
Holidays: 25 days paid holiday per year which increases with tenure
Healthcare: Public health care with NHS supplemented with Simply Health. This involves contributions for dental and optical healthcare, for example
Pension: Employees can choose an auto enrolment scheme or can bring their own SIPP with them
Free software downloads and reduced prices on hardware
Employee Assistance Program for your well-being

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Location:: London, England, United Kingdom
Salary:: £100,000 - £125,000
Job Type:: FullTime
Category:: IT & Technology

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