Data Engineering Manager
7 hours ago
Livingston
Our roster has an opening with your name on it We are seeking a Data Engineering Manager to lead a team of data engineers in building high-quality, scalable data products and infrastructure. In this hybrid role, you’ll balance people management with technical delivery—mentoring engineers, guiding solution design, and collaborating across teams to deliver data systems that support analytics, data science, and operational needs. This role is ideal for an experienced data engineer or tech lead who is ready to take the next step into engineering management and enjoys blending hands-on support with strategic execution. If you’re excited by this challenge and want to work within a dynamic company, then we’d love to hear from you. THE GAME PLAN Everyone on our team has a part to play Team Management & Growth • Lead a team of data engineers through coaching, mentorship, and technical guidance, • Support individual career development and performance feedback, creating growth opportunities for your team, • Guide the design and implementation of scalable data pipelines, platforms, and data products, • Review architecture and code, provide technical direction, and help resolve complex engineering challenges by being hands-on when needed, • Partner with product managers, data scientists, analysts, and business stakeholders to understand requirements and prioritize work, • Translate business needs into actionable engineering detailed plans and ensure timely delivery of key projects, • Promote operational stability and reliability of data pipelines and systems through monitoring, alerting, and incident response, • Advocate for high standards in data quality, governance, and compliance by collaborating with platform and data governance teams, • 6+ years of experience in data engineering or software engineering, with at least 1–2 years in a team leadership or mentorship role., • Strong technical background in building and maintaining data pipelines and platforms using tools like Spark, dbt, Airflow, Kafka, or Databricks., • Proficiency in one or more programming languages (e.g., Python, Scala, or Java) and SQL., • Experience with cloud data platforms (e.g., AWS, GCP, or Azure)., • Experience working with behavioural analytics tools and data (e.g., Snowplow, Amplitude, or Google Analytics)., • Prior experience in a people management or tech lead role within a data engineering or analytics team, • Familiarity with machine learning workflows, data observability, and streaming architectures, • Experience working in a product-driven, customer-focused organization, • An exciting and fun environment committed to driving real growth, • Opportunities to build really cool products that fans love, • Mentorship and professional development resources to help you refine your game, • Flexible vacation allowance to let you refuel