Senior Data Engineer

We are looking for a skilled Senior Data Engineer to drive the modernization of our clients data infrastructure. This role will involve leveraging advanced data technologies, including GCP, BigQuery, DBT, and Dagster, to build scalable pipelines, streamline processes, and deliver impactful solutions. You will collaborate across teams to shape a forward-thinking data strategy within a dynamic and evolving environment.

As a key member of our clients small but highly focused team, you will take a leading role in designing and implementing a robust, future-ready data platform. With a strong emphasis on outcomes and ambitious growth plans, this position is ideal for an independent thinker who thrives in an autonomous setting and enjoys crafting and executing data strategies.

Key Responsibilities:

Lead and guide data teams in executing complex initiatives.
Develop and implement database and data warehouse solutions.
Enhance and maintain data infrastructure for optimal performance and reliability.
Uphold data accuracy, consistency, and security while ensuring compliance with industry regulations.
Establish and manage data governance frameworks and best practices.
Partner with IT Operations and security teams to enforce robust data security measures.
Create detailed documentation of data processes, structures, and system architecture.
Facilitate seamless data access for reporting and analytical requirements.
Oversee and refine ETL workflows for efficiency and accuracy.
Monitor database performance and provide necessary support for data-related incidents.
Work closely with cross-functional teams to ensure efficient data operations.
Transform and prepare data for analysis, adapting to evolving organizational needs.
Mentor and support junior data engineers in skill development.
Assist in defining and executing the organization’s data strategy.
Collaborate with business analysts to identify and implement new data requirements.
Manage internal and external data sources based on business objectives.
Skills and Experience Required:

Extensive background in data engineering, preferably in a regulated industry.
Expertise in cloud-based data architecture and governance practices.
Strong proficiency in designing, maintaining, and optimizing data platforms.
Deep understanding of coding best practices, CI/CD processes, and version control.
Experience in cloud data storage, processing architectures, and best practices.
Ability to work with large datasets and improve computational performance.
Proficiency in deploying, scheduling, and monitoring data workflows.
Advanced skills in writing complex queries for relational and non-relational databases.
Strong leadership capabilities, particularly in stakeholder engagement and data-driven decision-making.
This role is ideal for a results-driven professional who enjoys solving complex data challenges and driving innovation within a collaborative environment.

For more information on this role or other similar roles please contact Mae Fitzgerald

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