As the Manager, Data Engineering , you will: Lead and mentor a team of (a mix of) data engineers, analytics engineer, an SRE specialist, and a data QA specialist, ensuring high performance, skill development, and collaboration.

Oversee the design, development, and optimization of data pipelines that support both operational and analytical use cases.

Work closely with cross-functional teams to gather requirements and deliver scalable, efficient, and reliable data solutions.

Design and implement cloud-based data infrastructure solutions (e.g., Azure, Snowflake) that meet the companys growing data needs.

Ensure the data platforms performance, reliability, and scalability, with a focus on continuous improvement.

Champion data quality and governance practices, working closely with the Data Governance Lead, Data Quality Engineer and the Data QA specialist to maintain high standards.

Develop and implement automation and monitoring strategies with the SRE specialist to ensure the platform is operational 24/7.

Collaborate with business and product teams to ensure data solutions align with business needs and strategic objectives.

Stay up to date with industry trends and emerging technologies, recommending improvements and innovations to the data platform.

THE STUFF THAT SETS YOU APART Must-Have Experience: 5 years of experience in data engineering, with a focus on building and optimizing scalable data pipelines and infrastructure.

Experience leading or mentoring cross-functional teams, fostering collaboration and high performance.

Strong expertise in cloud platforms (e.g., Snowflake, AWS, Azure) and data storage solutions.

In-depth knowledge of data modeling, ETL processes, and modern data architectures.

Experience working with operational data systems, data lakes, data warehouses, and real-time data pipelines.

Familiarity with automation, monitoring, and incident management practices in data infrastructure (SRE principles).

Proven ability to ensure data quality and collaborate with data governance teams.

Technical Skills: Proficiency in programming languages commonly used in data engineering (e.g., Python, SQL, Scala).

Experience with big data processing frameworks like Apache Spark, Snowflake, Hadoop, or similar technologies.

Solid understanding of Dev Ops practices, CI/CD pipelines, and infrastructure as code (e.g., Terraform).

Experience with data quality frameworks and tools.

Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).

Soft Skills: Strong leadership skills, with the ability to inspire and motivate a diverse technical team.

Excellent problem-solving skills, with a focus on optimizing and scaling data systems.

Excellent communication skills, with the ability to collaborate across technical and non-technical teams.

Strong focus on business outcomes, ensuring data infrastructure supports organizational goals.

Education: Bachelors degree in Computer Science, Engineering, Information Systems, or a related field.

Relevant certifications in cloud platforms, data engineering, or software engineering are a plus.

Nice to Have: Experience in the retail or fashion industry, particularly in scaling data platforms to meet fast-growing business needs.

Hands-on experience with data governance tools and practices.

Knowledge of emerging data technologies, such as machine learning pipelines, real-time streaming analytics, or Data Ops 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 Youll be a proud custodian to our DMs culture, embodying what we stand for and encouraging others to do the same Youll help build a highly engagedteam ensuring a collaborative culture andproviding 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; youll share best practice across the team/business and encourageideas sharing as well ascollaborative problem solving Youll lead the wayand role model on all things DE&I & wellbeing