Lead Data Engineer

SO, WHAT'S THE STORY?

Lead Data Engineer

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

Lead

• 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:

• 6+ 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, 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:

• Bachelors 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.

BE YOURSELF

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 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; youll share best practice across the team/business and encourage ideas sharing as well as collaborative problem solving
• Youll lead the way and role model on all things DE&I & wellbeing