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