Lead Data Engineer

Summary

Join Gambling.com Group as a BI Senior Data Engineer and lead a team, mentoring members while overseeing data processing, ETL jobs, and the Data Warehouse. You will ensure compliance through audits, improve Data Engineering tools, and collaborate with various teams. The role requires effective communication with technical and non-technical users, working within a globally distributed team using tools like Slack and Zoom. This position offers a hybrid remote-first work model, allowing flexibility while contributing to a global team. The company is a leader in the online gambling industry, offering a fast-paced and high-growth environment.

Requirements

• A Master’s Degree in Engineering, Computer Science or related field, or equivalent work experience
• 8+ years of commercial development experience as a Data Engineer or in the Data Warehousing domain
• Large scale delivery and data management experience
• Experience building and maintaining data processing pipelines, ETL/ETL processes
• In depth knowledge of data warehousing methodologies
• Comfortable writing complex SQL
• Experience working with a major Relational Database such as Snowflake, Oracle, Teradata, Redshift etc
• Significant Experience of working with Python
• Experience of working effectively in a distributed team environment
• Clear ability to work in teams, contribute to technical decisions and learn/suggest/assess new technologies
• Ability to be a creative problem solver with a solution-focused attitude
• Comfortable with Git
• Experience of working within an AWS architecture
• Experience of working with Airflow
• Possess a strong sense of ownership, urgency, and drive
• Document all code and features for maintainability
• Excellent written and oral communication skills in English

Responsibilities

• Lead a team of Data Engineers
• Mentor and guide the professional and technical development of team members
• Oversee the Design, development, maintenance, and documentation of data processing scripts, ETL jobs, and Data Warehouse
• Be responsible for internal and external audits and implement necessary changes to ensure compliance
• Drive the continuous review and improvement of Data Engineering tools and capabilities
• Collaborate with BI Tools, Data Science and Reporting Teams to ensure that Data Engineering tasks meet the needs of BI Teams as a collective
• Communicate results of technical projects to both technical and non-technical users
• Work with a globally distributed team and be comfortable with slack/zoom for meetings and communication and organising development tasks remotely

Preferred Qualifications

Experience in similar position is a plus but not mandatory