Lead Data Engineer at Max.ng

Requirements

As a Data Engineer at Maxdrive, you will:

• Unleash the power of data: Transform raw data into actionable insights that drive informed decision-making across the organization.
• Build robust data pipelines: Craft reliable systems for sourcing, processing, and delivering data, ensuring smooth information flow within Maxdrive.
• Harness the potential of AI: Develop and implement machine learning models to automate tasks, optimize processes, and solve complex business challenges.
• Champion data quality and security: Ensure our solutions adhere to the highest standards of accuracy, security, and compliance, safeguarding both data and user trust.
• Monitor and troubleshoot: Build observability into your solutions, proactively identify and resolve issues, and ensure optimal system performance.
• Bridge the gap between data and business: Collaborate closely with marketers and sales teams to translate data insights into actionable strategies, maximizing campaign effectiveness.
• Share your expertise: Coach and mentor fellow data engineers, fostering a culture of continuous learning and best practices within the team.
• Shape the future: Actively participate in discussions and decision-making, influencing the direction of Maxdrive's data infrastructure and contributing to long-term strategic planning.

Your team:

You'll join a dynamic and collaborative team of data engineers, working within one of Maxdrive's agile team dedicated to specific products or services. Your insights will directly inform marketing and operations efforts, shaping how we reach and engage our target audience across multiple channels.

Your expertise:

• BSc or equivalent in Computer Science, Engineering, Maths, or other related fields.
• Strong understanding and application of data engineering techniques, from event streaming and real-time analytics to data warehousing and computational processing.
• A natural curiosity and eagerness to learn new technologies and adapt to evolving industry trends.
• Excellent communication skills, both written and verbal, with experience in technical presentations and documentation.
• Proficiency in Python (additional languages a plus).
• Demonstrated ability to build and maintain highly stable and performant data pipelines.
• Experience with profiling and troubleshooting complex data pipelines.
• Proven track record of delivering high-quality results in fast-paced agile environments.
• (Preferred) Expertise in MLFlow and machine learning model development.
• (Preferred) Leadership experience or the potential to grow into a team leader role.