Data Engineer

March 20

Apply Now

Receive Emails with Similar Jobs

SMG - Service Management Group

WebsiteLinkedInAll Job Openings

SMG - Service Management Group is a leader in enterprise experience management (XM) with a dual focus on industry-leading software and hands-on professional services. Their platform provides seamless and secure data integrations to enhance technology ecosystems, with capabilities for cross-channel feedback collection at every stage of customer and employee journeys. SMG offers powerful reporting and analytics tools, data-driven prescriptive actions, and services to guide businesses from being data-driven to insights-driven. They specialize in improving customer, employee, and brand experiences with tailored XM solutions for industries like restaurant, retail, and consumer services.

Employee Engagement • Brand Research • Customer Experience • Employee Experience • Experience Management

201 - 500 employees

🏢 Enterprise

☁️ SaaS

🤝 B2B

💰 Private Equity Round on 2021-10

📋 Description

• Lead by example in data engineering practices, demonstrating expertise in a variety of technologies, including but not limited to Python, SQL, dbt, Snowflake, Airflow, Kafka, and other relevant technologies in the data engineering domain. • Inspire and mentor data engineering teams, fostering a growth mindset and a collaborative environment. • Lead initiatives to rebuild the team and instill a culture of continuous learning and improvement. • Expertise in building deployment pipelines for data related workflows (e.g. Github Actions/Azure DevOps pipelines). • Collaborate with leadership to shape the company's vision for data engineering, providing valuable insights and guidance on technological strategies and opportunities. • Drive efforts to refactor and rebuild our aging data infrastructure, prioritizing scalability, reliability, and maintainability. • Identify and address areas of technical constraints in data engineering, implementing strategies to gradually reduce their impact on delivering value. • Champion modern data engineering practices, including data modeling, ETL processes, data quality assurance, and data pipeline orchestration. • Advocate for tidy code practices in data engineering, shepherd code review processes, and utilize modern code tooling to ensure high-quality software delivery. • Collaborate cross-functionally with other teams to solve complex technical challenges in data engineering and drive innovation across the organization. • Lead data engineering teams to deliver significant initiatives successfully, managing timelines, resources, and risks effectively.

🎯 Requirements

• Bachelor's degree in computer science, engineering, or related field or equivalent experience. • Extensive experience (4+ years) in data engineering, focusing on leading teams and initiatives to deliver value. • Proven expertise in various data engineering technologies, including but not limited to SQL, Python, dbt, Snowflake, Apache Spark, Kafka, Airflow, and other relevant technologies in the data engineering domain. • Strong understanding of modern data engineering practices, including data modeling, ETL processes, data quality assurance, and data pipeline orchestration. • Experience with data engineering tooling and platforms such as Databricks and Snowflake is highly desirable. • Excellent leadership and communication skills, with a record of leading efforts on collaborative and high-performing data engineering teams. • Ability to quickly learn and adapt to innovative data technologies as needed. • Ability to thrive in a dynamic, fast-paced environment with a growth mindset and a commitment to continuous learning. • Demonstrated ability to drive change and influence stakeholders at all levels of the organization.

🏖️ Benefits

• Work hard, have fun environment • Unlimited PTO • Tech provided • Company sick pay • Diverse, experienced, friendly team which will welcome you, support you and challenge you.