
Data Engineering Team Leader
2 days ago
At our organization, we seek a skilled and experienced individual to lead our Data Engineering team. This role involves several key responsibilities:
- Developing a deep understanding of digital trading platforms and other systems to optimize them for the business.
- Gaining a thorough understanding of digital placement data and how it interacts with the larger data ecosystem.
- Building consolidated views using disparate data sources and placement data that includes coverages, exposures, losses, and trading data to provide insights.
- Solving business pain points using "business consultant" skills, working closely with business and data leaders.
- Leveraging data and domain expertise to conceptualize and deliver on ambiguous projects with specific revenue potential.
Key qualifications include:
- A bachelor's or master's degree in computer science, statistics, mathematics, economics, or an engineering discipline.
- 10-12 years of experience in business intelligence (BI) and reporting, with a focus on enterprise-wide systems and dashboard development.
- 2-3 years of team management experience, overseeing a team of 2-3 analysts.
- Excellent problem-solving skills within a corporate IT environment.
- The ability to think independently and define key performance indicators (KPIs) aligned with business strategy and goals.
Required technical skills include:
- Data engineering and transformation skills, with proficiency in SQL or Oracle.
- Data visualization expertise, particularly in Power BI, Tableau, or Qlik.
- Exposure to cloud platforms, such as Databricks on Azure and AWS.
Soft skills are also essential:
- Strong communication and stakeholder management skills.
- The ability to convey complex data in a simple and actionable manner.
We foster a culture of inclusivity, diversity, and flexibility, offering career opportunities, benefits, and rewards to enhance well-being. Join us and grow professionally through interesting work, supportive leaders, and personal development opportunities.
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