SO, WHAT'S THE STORY?

As a Senior Data Engineer , you will play a key role in the development and maintenance of the

organization's data infrastructure. Working within a multi -disciplined team led by the Manager Data

Engineer ing , you will focus on building and optimizing scalable data pipelines and supporting the delivery of

high -quality, reliable data solutions.

This is an exciting opportunity to contribute to a dynamic and innovative environment, where your work will

directly impact the organization's ability to harness data for analytics, reporting, and decision -making.

THE GIG

As a Data Engineer , you will:

• Develop and maintain scalable data pipelines to support operational and analytical needs.

• Collaborate with data scientists, analysts, and business teams to understand data requirements

and deliver solutions that align with organizational goals.

• Optimize and maintain cloud -based data infrastructure (e.g., Snowflake, Azure) for performance

and cost -efficiency.

• Ensure the integrity, reliability, and security of data through robust testing and validation

practices.

• Support the implementation of data governance practices, working closely with the Data QA

Specialist and Data Governance Lead.

• Monitor and troubleshoot data pipeline performance issues, proactively resolving bottlenecks and

incidents.

• Contribute to the design and implementation of data models and schemas that meet business

requirements.

• Stay updated on emerging technologies and best practices, recommending improvements to

existing processes and tools.

THE STUFF THAT SETS YOU APART

Must -Have Experience:

• 4 + years of experience in data engineering or a similar role.

• Hands -on experience building and maintaining data pipelines, ETL processes, and integrations.

• Proficiency in programming languages commonly used in data engineering (e.g., Python, SQL,

Scala).

• Experience with cloud data platforms such as Snowflake or Azure.

• Solid understanding of data modelling principles and database management systems.

Technical Skills:

• Knowledge of big data frameworks and processing tools (e.g., Snowflake, Airflow, dbt, Apache

Spark, Hadoop).

• Familiarity with DevOps practices, including CI/CD pipelines and version control systems (e.g., Git).

• Understanding of data governance principles, quality frameworks, and security best practices.

• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.

Soft Skills:

• Strong problem -solving skills with attention to detail.

• Excellent communication and collaboration skills, with the ability to work effectively within a team.

• A proactive attitude, with a willingness to learn and take ownership of tasks.

Education:

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.

• Relevant certifications in data engineering or cloud technologies are a plus.

Nice to Have:

• Experience in the retail or fashion industry, with exposure to its data and analytics challenges.

• Familiarity with real -time data processing and streaming technologies.

• Knowledge of DataOps principles and practices.

We live and breathe Rebellious Self Expression at Dr. Martens, and there are 3 core values at the heart of it.

They never stand alone, but work together as a balancing act of rights and responsibilities to support how

we work together at DMs. BE YOURSELF . ACT COURAGEOUSLY . SHOW YOU CARE .

At DM your technical capability will go hand in hand with the below:

• Great relationship management that delivers results through effective teamwork

• You’ll be a proud custodian to our DM’s culture, embodying what we stand for and encouraging

others to do the same

• You’ll help build a highly engaged team ---ensuring a collaborative culture and providing

guidance & support to other team members

• You will take ownership for your own development, proactively seeking out feedback to build self -

awareness

• You will bring the outside -in; you’ll share best practice across the team/business and

encourage ideas sharing as well as collaborative problem solving

• You’ll lead the way and role model on all things DE&I & wellbeing