Engineering Manager, Dealfront

• At least 5 years experience managing technical teams, ideally within data
• A proven track record of delivering data-driven solutions that align with business objectives
• Experience in Data Engineering, including working with big Data
• Bachelor’s degree in Computer Science, Engineering or comparable
• Strong team management skills within a fast paced and ever changing environment
• Ability to recruit, mentor, and retain a high-performing engineering team. Experience in building trust and encouraging ownership and accountability within the team
• Strong interpersonal skills with the ability to manage team dynamics, address concerns, and provide constructive feedback in a positive, growth-oriented manner
• Ability to manage and resolve conflicts within the team or with external stakeholders effectively
• Proven experience managing resources efficiently and prioritising key projects, balancing short-term needs with long-term vision
• Software Engineering expertise with two of the following: Python, Rust, PHP
• Solid SQL and Data Analytics knowledge
• Experience with any of: Kafka, Redis, Solr/Elasticsearch, Postgres
• Experience with relational and non-relational databases
• Attention to detail and strong problem solving skills
• Experience managing, monitoring and troubleshooting production grade data pipelines
• Knowledge of data governance practices, data quality management, data privacy regulations (e.g., GDPR, CCPA) and data security measures
• Ability to present data insights and recommendations clearly and effectively
• Excellent communication & interpersonal skills
• Willingness to self educate and fill gaps in required knowledge
• Openness to feedback and ability to adapt to changing circumstances

Desirable

• Dealfront is excited to be experiencing a level of growth where we are seeking an Engineering Manager to join our Data Processing team
• This role involves leading a team of 4 whilst also playing a part as an individual contributor helping to achieve company goals
• Effectively manage the team including all aspects of objective planning, providing technical input, monitoring execution, performance reviews etc
• Collaborate with product management and lead team to fulfil company goals
• Building strong relationships with stakeholders to understand their data needs and requirements
• Act as individual contributor to support the team’s output