About Landmarc
Landmarc is a leading provider of digital transformation services, committed to delivering innovative solutions that drive business growth and efficiency. With a strong focus on customer-centricity and user experience, we are revolutionizing the way organizations operate and interact with their customers.
About the Role
We are seeking an experienced Senior Data Engineer to join our team and lead the development of our data architecture. As a key member of our data engineering team, you will design and deliver scalable and efficient data architectures to meet our evolving data needs. Your expertise in data engineering techniques, ELT processes, and data quality frameworks will be instrumental in ensuring seamless collaboration with Data Analysts and establishing a proactive approach to data integrity and reliability.
Key Responsibilities
* Design and develop scalable and efficient data architectures to meet our evolving data needs.
* Oversee the development of semantic data models to ensure seamless collaboration with Data Analysts.
* Integrate data quality measures into all phases of the data lifecycle.
* Lead the data engineering team and ensure our ELT processes adhere to best practices.
* Play a key role in our data platform cloud migration and upskilling and developing rapidly while maintaining our legacy systems.
Requirements
* Several years of experience as a Data Engineer, with hands-on involvement in developing and optimising data pipelines.
* Strong knowledge of data engineering techniques, ELT processes, data quality frameworks, and data pipeline orchestration.
* Extensive experience with cloud-based data platforms (e.g., Databricks, Snowflake, FiveTran, Microsoft Fabric).
* Advanced SQL skills and experience with Microsoft SQL Server technologies (SSIS, SSAS, SSRS).
* Expertise in data modelling using Kimball methodology.
* Proven leadership and mentoring abilities.
* Excellent technical documentation skills.
What We Offer
* A competitive salary and benefits package.
* Opportunities for continuous learning and professional development.
* A supportive and collaborative work environment.
* The chance to work on exciting projects and cutting-edge technologies.
* The opportunity to make a significant impact on our data strategy and operations.