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Our client is a fast growing Proptech company which has recently received $6m USD in Funding and is currently 50 people. They are looking to hire a Lead Data Engineer who will build out their engineering function whilst also growing a team. This is an exciting opportunity to join a business that will offer an accelerated career path.

Lead Data Engineer Role

Assemble and collect data sets that meet functional and non-functional business requirements.
Identify, design & implement internal process improvements, automate manual processes, optimizing data delivery, infrastructure for greater scalability.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a variety of sources using SQL, APIs, and cloud services technologies.
Build tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
Build tools for analytics and data team member that assist in building and optimizing the product into an innovative leader.
Work with data and analytics experts to strive for greater functionality in our data lake, systems, and ML/Feature Engineering for AI solutions.

Requirements:

College Degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication) or equivalent.
At least 6 years of working experience in data engineering with 2 years of managerial experience.
Extensive experience with SQL, Python, and Git.
Understands Python framework (Pandas, sci-kit-learn, psycopg2 libraries)
GCP experience preferred but any Cloud experience is good
Strong analytic skills related to working with structured and unstructured datasets.
Data-driven, innovative, problem-solver with an analytical mindset and critical thinker.