Data Engineering Team Leader

Play Perfect is a fast-growing mobile gaming company that provides entertainment to millions of users around the world. The company is headquartered in Tel Aviv.

With a team of talented and passionate developers, designers, industry experts and gamers, Play Perfect is at the forefront of creating immersive gaming experiences that engage players on a whole new level.

As we continue to push the boundaries of what is possible in gaming, Play Perfect is poised to shape the future of the industry and redefine what it means to be a skill-based gaming company.

As we expand, we're​ ​looking for​ ​a​ ​rockstar to join and lead our great team!

As a Data Engineer Team Leader you will join the team that owns all of our data transformations, modeling, and optimization.

Responsibilities

• Lead a team, guiding them through the onboarding process and ensuring smooth integration.
• Establish and manage key processes to ensure operational efficiency.
• Work closely with cross-functional teams and various interfaces to drive team performance and achieve goals.
• Manage significant team responsibilities and handle high-pressure demands and urgent tasks effectively.
• Make critical decisions in a fast-paced environment, adapting quickly to changing priorities.
• Provide leadership and mentorship to team members, helping them grow professionally.
• Creating new data solutions while supporting and optimizing existing ones
• Managing a data structure & model, which supports and reflects the actual business needs

Requirements

• Minimum of 2 years of management experience required.
• Vast experience in data modeling
• 5+ year experience with Python
• 2+ years experience with Spark
• 2+ years experience with DBT
• Extensive experience with Git
• Proficient in DWH methodologies and best practices (BigQuery - advantage)
• Experience transforming data into visual insights and building dashboards in a BI platform (e.g. Tableau, QlikView, Looker etc. Looker - advantage)
• BA/BSC degree in: Information systems / Industrial Engineering or related field required