MOO set out to shake up the world of print back in 2006. And weve come a long way since. Today were a 400 strong team (were thinking of getting matching jackets) who create print and digital products for companies of all sizes from Google and AirBnB to the guy who makes those amazing prints you found at a craft fair.
Our global HQ is in London UK while we also have premises in the US youll find us in Boston MA as well as East Providence RI and Denver CO and now in Cape Town South Africa!
What Youll Do
- Help evolve our modern data platform to support reliable analytics and emerging AI use cases
- Design build and maintain robust production-grade data pipelines using Dagster with a strong focus on reliability observability and performance
- Implement data quality checks and reliability patterns to ensure trusted high-quality data across the platform.
- Contribute to the definition and evolution of data modelling standards dbt best practices and governance to keep our analytics layer modular testable and scalable
- Collaborate with analytics and product teams to enable impactful data and AI use cases
- Identify opportunities to improve the architecture tooling and developer experience of the data platform as our needs scale
What were looking for
- 35 years experience in Data Engineering or a similar role
- Strong Python skills with a focus on writing clean modular code to enhance and extend platform capabilities
- Experience working with orchestration frameworks (e.g. Dagster Airflow Prefect etc) building dependable self healing and well structured workflows
- Proven SQL & dbt (or similar tools e.g. Dataform) skills with a focus on performance modularity readability and scalable analytics-focused models
- Experience with modern cloud data warehouses or databases for analytics (we use Snowflake but others are also welcome)
- Strong focus on data quality including testing validation and proactive issue detection
- Confidence investigating and debugging data issues end-to-end performing root cause analysis
- Thoughtful views on data modeling and software best practices with the ability to advocate for standards while remaining open to pragmatic alternatives
Nice To Have
- Near real-time or streaming analytics pipelines
- Supporting data related AI or ML use cases
- Data observability and quality monitoring tools (e.g. Elementary etc)
- Implementing Metrics/Semantic layer
- Data contracts schema governance and data classification practices
- Worked with BI Tools (Tableau Looker etc)
- Terraform
- Experience with Cloud Services (AWS Azure GCP etc)
- Data Warehouse performance tuning and optimisation
Whats it like to work at MOO
MOOs the kind of workplace where you can really be yourself. Dye your hair purple. Hit the sofa with your laptop. Whatever helps you feel comfortable and happy at work. We want to help you grow in your career and set you up for success while also recognising the importance of a healthy work/life balance.
Thats why we offer 19 days holiday rising by one day for each year here (for 5 years) a matched pension scheme and paid parental leave. Well offer you private healthcare and life insurance. We also offer flexible work schedules with hybrid and remote working for certain roles.
Diversity Statement
We are working hard to create a representative inclusive and super-friendly team because we know that different experiences perspectives and backgrounds make for a better workplace. And that creates a better experience for our customers. MOO doesnt discriminate on the basis of race colour religion or belief gender national origin age sexual orientation marital status disability or any other protected class.
As a design and technology company we have a desire and a responsibility to build a business that represents the world around us. So we strive to create a values-driven purposeful and highly empowered organisation that we are all proud to work for. And we are committed to continuous investment in building an open and inclusive environment welcoming a diverse audience of candidates who see themselves working and thriving at MOO. Therefore wed like to invite you to complete this optional survey to help us evaluate our inclusion and diversity efforts. Completing this form is entirely voluntary and if you decide not to it wont in any way affect your job application. We keep the information separate from your application and it is kept secure and confidential it is only used to better our inclusion and diversity submitting this information you consent to MOOs processing of it for these purposes.
Required Experience:
IC
MOO set out to shake up the world of print back in 2006. And weve come a long way since. Today were a 400 strong team (were thinking of getting matching jackets) who create print and digital products for companies of all sizes from Google and AirBnB to the guy who makes those amazing prints you fo...
MOO set out to shake up the world of print back in 2006. And weve come a long way since. Today were a 400 strong team (were thinking of getting matching jackets) who create print and digital products for companies of all sizes from Google and AirBnB to the guy who makes those amazing prints you found at a craft fair.
Our global HQ is in London UK while we also have premises in the US youll find us in Boston MA as well as East Providence RI and Denver CO and now in Cape Town South Africa!
What Youll Do
- Help evolve our modern data platform to support reliable analytics and emerging AI use cases
- Design build and maintain robust production-grade data pipelines using Dagster with a strong focus on reliability observability and performance
- Implement data quality checks and reliability patterns to ensure trusted high-quality data across the platform.
- Contribute to the definition and evolution of data modelling standards dbt best practices and governance to keep our analytics layer modular testable and scalable
- Collaborate with analytics and product teams to enable impactful data and AI use cases
- Identify opportunities to improve the architecture tooling and developer experience of the data platform as our needs scale
What were looking for
- 35 years experience in Data Engineering or a similar role
- Strong Python skills with a focus on writing clean modular code to enhance and extend platform capabilities
- Experience working with orchestration frameworks (e.g. Dagster Airflow Prefect etc) building dependable self healing and well structured workflows
- Proven SQL & dbt (or similar tools e.g. Dataform) skills with a focus on performance modularity readability and scalable analytics-focused models
- Experience with modern cloud data warehouses or databases for analytics (we use Snowflake but others are also welcome)
- Strong focus on data quality including testing validation and proactive issue detection
- Confidence investigating and debugging data issues end-to-end performing root cause analysis
- Thoughtful views on data modeling and software best practices with the ability to advocate for standards while remaining open to pragmatic alternatives
Nice To Have
- Near real-time or streaming analytics pipelines
- Supporting data related AI or ML use cases
- Data observability and quality monitoring tools (e.g. Elementary etc)
- Implementing Metrics/Semantic layer
- Data contracts schema governance and data classification practices
- Worked with BI Tools (Tableau Looker etc)
- Terraform
- Experience with Cloud Services (AWS Azure GCP etc)
- Data Warehouse performance tuning and optimisation
Whats it like to work at MOO
MOOs the kind of workplace where you can really be yourself. Dye your hair purple. Hit the sofa with your laptop. Whatever helps you feel comfortable and happy at work. We want to help you grow in your career and set you up for success while also recognising the importance of a healthy work/life balance.
Thats why we offer 19 days holiday rising by one day for each year here (for 5 years) a matched pension scheme and paid parental leave. Well offer you private healthcare and life insurance. We also offer flexible work schedules with hybrid and remote working for certain roles.
Diversity Statement
We are working hard to create a representative inclusive and super-friendly team because we know that different experiences perspectives and backgrounds make for a better workplace. And that creates a better experience for our customers. MOO doesnt discriminate on the basis of race colour religion or belief gender national origin age sexual orientation marital status disability or any other protected class.
As a design and technology company we have a desire and a responsibility to build a business that represents the world around us. So we strive to create a values-driven purposeful and highly empowered organisation that we are all proud to work for. And we are committed to continuous investment in building an open and inclusive environment welcoming a diverse audience of candidates who see themselves working and thriving at MOO. Therefore wed like to invite you to complete this optional survey to help us evaluate our inclusion and diversity efforts. Completing this form is entirely voluntary and if you decide not to it wont in any way affect your job application. We keep the information separate from your application and it is kept secure and confidential it is only used to better our inclusion and diversity submitting this information you consent to MOOs processing of it for these purposes.
Required Experience:
IC
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