Global Office Data Engineer

Job Description

Dr. Martens is a globally recognisable and culturally influential British brand, with over 60 years of rich heritage. As brand custodians, we are lucky to work for a dynamic, thriving, and ethical business, with people from diverse backgrounds, who bringtheir true selves to work, and where anyone can grow their career. We are guided by three core values that are at the heart of everything we do: be yourself, act courageously, and show you care. They make us who we are and inspire us to push boundaries, embrace our individuality, and stand up for whats right. SO, WHAT’S THE STORY The D&A Team has set the vision “To make every DM decision better with data” and is embarking on a transformational journey to “Execute faster in creating trust, access and value globally from all our data to empower ourcolleagues to stride forwards”. It is an exciting time to join the D&A team, with the opportunity to both set and guide the team and DM’s strategic direction. As our Data Engineer you will be at the forefront of the team working on our data pipelines and data warehouse. You will be central to the success of the global Data Transformation initiative. We are at the beginning of the journey, so you will getthe opportunity to define our data engineering approach, making fundamental changes through the design and implementation of a modern data ecosystem that underpins DMs bold growth ambitions. You will work closely with the broader business, supporting, challenging,and championing data and analytics for better decision making. As our Data Engineer, you will be accountable for:

• Working independently, this will require the need for you to be able to not only work on tasks assigned to you with minimal help from your peers but also to be proactive on issues found during your working day.
• Representing the team in all data project meetings.
• Establishing the data warehouse as a trusted, stable, and reliable source of insight for the business
• Building and maintaining robust and efficient data pipelines to bring internal and external data sources into our cloud-based platform for processing and ingesting into the DW
• Building analytics datasets that utilise our pipelines to provide actionable insights into customer understanding, operational efficiency, and other key business performance metrics.

THE STUFF THAT SETS YOU APART Put simply, for this role the key things we’re looking for are:

• Azure and its various services
• Advanced SQL skills
• Transformations using DBT
• Azure Data Factory and Logic Apps development and orchestration
• Cloud data warehouse platforms such as Azure Data Warehouse, Synapse or Snowflake
• Developing Spark/Databricks pipelines using Python
• Event-driven architecture and data streaming
• Implementing data lake standards and best practice
• Data warehouse design and modelling skills such as dimensional or Data Vault 2.0.
• Agile delivery methodologies, Azure DevOps and CI/CD pipelines.
• Experience use Jira and Confluence
• Knowledge of Terraform
• Supporting a BI Development team in maintaining data warehouse and pipeline development best practices.
• Strong organisational skills and attention to detail, including the ability to manage multiple tasks autonomously
• Provide hands-on support to users reporting data incidents, helping the wider team triage and respond to user queries promptly
• Embedding technical architecture and documentation standards, governance, policies, processes, and procedures.

Let us know if you have any suggestions for us to consider so you can be at your best in this role & during the application process. WHAT’S IN IT FOR YOU

• Welcome to the family free pair of docs
• 65% off all docs
• 2 paid volunteer days per year
• Private healthcare

Are you ready to fill your boots Apply now. At Dr. Martens, we are committed to creating an environment where we can all be proud to work and be our best. Part of this commitment is being an equal opportunity employer. All qualified applicants will be consideredfor employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, and age. #LI-MB1