Data Engineer

Archer; Denver (CO); On-site; USD 90,000 - 120,000; Full time

Job summary

Archer, in partnership with Bet365, is seeking a data professional to join a growing AI & Automation team. You will help evolve data infrastructure from SQL Server to a modern GCP platform, supporting regulatory data projects across global platforms.

You will design T-SQL stored procedures, SSRS reports, and collaborate with cross-functional teams while leveraging AI tools to accelerate development. The role offers hands-on cloud exposure, meaningful impact, and a path to independent cloud

Qualifications

• Proficiency with SQL Server 2014 or later and T-SQL
• Experience building SSRS reports and SSIS packages
• Strong SQL and stored procedure development skills
• Experience with GCP, BigQuery and Looker
• Familiarity with GitLab or similar version control

Responsibilities

• Lead the end-to-end delivery of regulatory data projects from gathering requirements to implementation.
• Design, develop and maintain robust T-SQL stored procedures and SSRS reports to support core business operations.
• Shadow senior colleagues to gain hands-on exposure to GCP environments with a clear progression towards independent cloud development.
• Leverage AI-powered tools proactively to accelerate development cycles and streamline coding tasks.
• Investigate and resolve complex data issues to ensure high data integrity and minimal disruption to critical processes.
• Partner with cross-functional teams to provide clear status updates and manage project timelines effectively.
• Contribute to the knowledgebase and help evolve development standards to ensure consistency across all data solutions.

Skills

SQL Server

Stored procedures

SSRS/SSIS

GCP / BigQuery / Looker

GitLab

Tools

GCP

BigQuery

Looker

GitLab

Job description

Archer is collaborating with Bet365 to connect them with exceptional professionals for this role. Join us in a growing data function where you will help us innovate and build intelligent data systems across our global platforms. The AI & Automation department focuses on transforming complex data into intelligent, scalable solutions. Operating across a vast technical landscape, the team builds robust infrastructure that supports critical regulatory requirements and drives process efficiency. By leveraging advanced cloud technologies and machine learning, AI & Automation ensures data integrity while exploring new ways to optimise performance. In this role, you will maintain and evolve essential data infrastructure, transitioning from established SQL Server environments to a modern GCP cloud platform. You will solve real-world technical challenges, contribute to process automation and develop your expertise in a highly collaborative setting. We offer the agility of a startup with the stability of a global business, providing the perfect environment to advance your data career. The listed salary for this position is $90,000-$120,000 annually.

Main Responsibilities

• Lead the end-to-end delivery of regulatory data projects from gathering requirements to implementation.
• Design, develop and maintain robust T-SQL stored procedures and SSRS reports to support core business operations.
• Shadow senior colleagues to gain hands-on exposure to GCP environments with a clear progression towards independent cloud development.
• Leverage AI-powered tools proactively to accelerate development cycles and streamline coding tasks.
• Investigate and resolve complex data issues to ensure high data integrity and minimal disruption to critical processes.
• Partner with cross-functional teams to provide clear status updates and manage project timelines effectively.
• Contribute to the knowledgebase and help evolve development standards to ensure consistency across all data solutions.

The skills and experience to help you perform in the role:

• Proficiency in SQL Server 2014 or later
• Knowledge of the MSSQL BI Stack including SSRS and SSIS
• Strong SQL capabilities with a focus on stored procedures
• Exposure to GCP, Big Query and Looker
• Familiarity with Gitlab or alternative source control platforms