Build out marketing measurement, attribution, and forecasting across a nine-figure budget.
Provide people management support and direction to your team through hiring, coaching, feedback, career progression, performance management, and reviews.
Own technical direction and execution for your team by supporting high-dependency projects, handling ambiguity, building and driving roadmaps, ensuring engineering excellence, leading AI adoption, and setting goals and measuring impact.
Land organisational impact by influencing strategy, driving business decisions, and building relationships with key partners and stakeholders to drive outcomes.

8+ years of experience in data engineering or related roles.
5+ years of experience leading and managing a data engineering team, supporting the growth and performance of engineers.
Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field, or 8+ years of equivalent experience.
Knowledge of marketing technologies, attribution, and tracking, as well as approaches to marketing causal attribution.
Deep understanding of the data product development lifecycle.
Strong programming skills in languages and frameworks such as Snowflake, SQL, dbt, Python, and Airflow — exact languages are not a requirement, but the ability and flexibility to learn is.
Deep experience and understanding of large-scale data warehouses, data modelling and analysis, and self-service data provision.
Excellent problem-solving skills and the ability to work both independently and collaboratively.
Strong communication, interpersonal, and organisational skills.
Experience resolving complex engineering and communication challenges.

Remote (Worldwide) — Europe, Latin America

Medical / Health Insurance
Open Annual Leave
Employee Assistance Programme
Training & Learning Development
Additional benefits vary by country and will be shared during the hiring process.

Super is hiring a Senior Engineering Manager - Data Engineering