Senior Data Engineer, Analytics Platform
About The Position
As a Data Engineer, you'll work hand-in-hand with the Data Services team to build, validate and deliver transformed data to meet stakeholder requirements. The ideal candidate has strong SQL skills, a passion for data, a technical background and an interest in professional sports, betting & eSports. As a key member of our Analytics team, you will: Liaise with business stakeholders to identify data driven projects and opportunities. Liaise with data engineers to build data pipelines and solve related issues. Use your SQL expertise to develop dbt models. Manage Airflow tasks and scheduling. Assist team members in solving data issues related to both analysis and modeling. Complete analyses and present clear recommendations to business stakeholders. Oversee team's analysis to ensure data and insights shared are accurate and informative. Help with implementation & adoption of a data exploration tool across the organization Provide support on data engineer hiring, onboarding and continued professional development. Mentor others. Other duties as required
Requirements
- University degree in Computer Science, Statistics, Business, or related field.
- You possess a minimum of 4+ years of experience in analytics engineering/data engineering,
- You bring hands-on expertise with our technology stack: BigQuery, dbt, Airflow, Python, and relational databases.
- You have a proven track record in building and optimizing data transformation pipelines
- You excel in managing relationships with both internal and external stakeholders, ensuring alignment and transparency throughout project lifecycles.
- You excel in fast-paced environments, employing a pragmatic and adaptive approach to problem-solving.
- Interest in Sports and consumer products
Nice To Haves
- Experience with a data exploration tool such as Looker or Mode.
Responsibilities
- Liaise with business stakeholders to identify data driven projects and opportunities.
- Liaise with data engineers to build data pipelines and solve related issues.
- Use your SQL expertise to develop dbt models.
- Manage Airflow tasks and scheduling.
- Assist team members in solving data issues related to both analysis and modeling.
- Complete analyses and present clear recommendations to business stakeholders.
- Oversee team's analysis to ensure data and insights shared are accurate and informative.
- Help with implementation & adoption of a data exploration tool across the organization
- Provide support on data engineer hiring, onboarding and continued professional development. Mentor others.
- Other duties as required
Benefits
- Competitive compensation package
- Fun, relaxed work environment
- Education and conference reimbursements.
- Opportunities for career progression and mentoring others
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Industry
Publishing Industries
Number of Employees
501-1,000 employees
