Data Engineer

Since selling our first timepiece in 2011, Daniel Wellington has evolved into a global phenomenon that has disrupted an entire industry. We are an exciting, vibrant, and innovative brand that challenges old conventions - continuously striving to enrich our customers' style through timeless pieces.

Working here, you are a part of an inclusive and diverse workplace, where we want you to be yourself. We give you ownership and flexibility in your work, and the opportunity to make an impact, directly contributing to our success. You will spend your days with collaborative, open, positive, and highly skilled people. You will learn new things, grow, and have a great time while doing so.

Join us in unlocking key insights based on trusted data to ensure cross-functional coordination across Daniel Wellington and help us achieve our company goals. As a part of the Business Intelligence team, you will get the opportunity to build and shape the data warehouse, alongside our BI Developer, that services everyone in the organization which acts as a single source of truth for all measures and KPIs. You will take part in raising data literacy and help the adoption of a data-driven culture in every aspect of the business.

We have a modern data stack including Snowflake, AWS, dbt, and Tableau.

THE TASKS YOU WILL OWN

- Design, build and maintain data pipelines to address the business data needs in an ELT environment.
- Be an expert in data transformation techniques and SQL; develop data models for complex business processes.
- Play a proactive part in owning your team’s services; taking responsibility for support, monitoring, measuring performance and addressing technical issues when required.
- Demonstrate an appetite to try new approaches, staying up to date with market trends and advances in data platforms.
- Conduct code reviews, pair programming and knowledge-sharing sessions whilst embracing feedback at every step.
- Work cross-functionally and support departments such as Marketing, Logistics, Finance and Sales to ensure our data strategy aligns across multiple business processes.


WHO YOU ARE

- Fluent in English

- Strong SQL skills, a critical eye for detail and are experienced in source control and code review practices.
- Strong knowledge of RDBMS, APIs and file formats such as JSON, YAML, CSV.
- Experience working with cloud-based infrastructure and technologies, preferably AWS.
- Programming skills in Go and/or Python is a nice-to-have.
- You are a driven, passionate data enthusiast that through own initiative, enjoys finding solutions to both obvious and hidden problems.


THIS IS #LIFEATDW

Are you still here? Amazing! We aim to be transparent, and we want to give you a glimpse of what it is like working here. If you want to know what our people replied when we asked them why they like working here, visit our career site and read - (https://careers.danielwellington.com/pages/our-company-culture)

https://careers.danielwellington.com/pages/our-company-culture)Read more about what it's like working here! Click me!
ABOUT THE PROCESS

This process will house recruitment tests as a first step and a case assignment in a later stage to help us break human biases as we believe in giving everyone an equal opportunity. Visit our career site and read - (https://careers.danielwellington.com/pages/recruitment-at-dw) Be yourself and hope to meet you in the process!