Competitive
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
