Data Engineering Manager

If you're equally passionate about nurturing talent and building cutting-edge data platforms , you could be the Data Engineering Manager that we’re looking for! Our organization is committed to fostering a world-class, data-driven culture, and a key component of this endeavor is a high-performance platform that empowers our embedded analysts and fuels our engineered systems with timely and accurate data. As the Data Engineering Manager, you will not only oversee and guide a team of data engineers, but also actively contribute by working on our cloud-native data platform. Your responsibilities will involve processing vast volumes of data to support both machine-driven and human-driven decision-making processes. What you’ll be doing (Role responsibilities) Our data platform acts as a central nexus to connect various data producers with consumers across the company. Our customers are: Engineering teams across the company that produce or consume data that need to be combined with other data sources, and Data analysts and scientists working on stream-aligned projects across the company As a Data Engineering Manager , you will: Be a people-manager for a team of data engineers and analytics engineers , including Coaching your team members in executing their tasks Clearing technical and organizational blockers for them, and Mentoring them on their own career goals and skill development Contribute to the hiring process and onboarding of your new team members to ensure they can hit the ground running. As a senior team member in the Data Engineering Team , you will: Architect, build, and maintain a data platform that enables engineers and analysts across the company to ingest, anonymize, and enrich data Use your analytics engineering skills to deliver quality, timely, and fit-for-purpose analytical datasets that power downstream applications and decision making Liaise with our internal customers to understand their needs and convert them to technical requirements Leverage your high-level overview to proactively mitigate risks and expediently resolve blockers Provide tools, training, and coordination to stakeholders across the organization Role requirements We seek candidates with most, or at least some, of the following skills and experience: 5+ years’ experience in data engineering / analytics engineering, with at least 2 years of experience leading and managing a team of at least two people. This includes conducting performance reviews, conducting regular 1:1 meetings, providing mentorship, and creating career development plans. Strong experience in analytics engineering, including designing, implementing, and maintaining data models for large-scale data warehouses. Strong experience with SQL, Python, and hand-on experience with business intelligence tools such as Tableau or Power BI. Proven track record designing and constructing robust and testable data pipelines. Hands-on experience building and operating data applications within cloud environments, particularly AWS. Strong knowledge and adherence to software engineering best practices, including version control systems and continuous integration/continuous deployment (CI/CD) pipelines. Excellent written and verbal communication skills in English, with the ability to effectively convey complex technical concepts to both technical and non-technical stakeholders. Some nice-to-haves are: Experience with tools like Apache Airflow and dbt for managing and orchestrating data workflows efficiently. Experience in infrastructure-as-code tools like Terraform. Understanding of data privacy and security and how they are implemented in engineering systems. #J-18808-Ljbffr