Senior Data Engineer

Key Skills

Agile methodologies, AWS, Business Intelligence, Database, ETL frameworks, ETL/ELT technologies, Project management, Software Development, SQL

Job Description

What you will do

• Design, implement and support KOKO’s data infrastructure
• Design and implement ETL pipelines, selecting the most appropriate tools and products in collaboration with KOKO’s analytics, product and engineering teams
• Build logical and understandable data models and data stores to house data from KOKO’s various live products and other diverse data sources for consumption by other teams
• Build systems to track data quality and consistency, ensuring that our data is accurate & up to date
• Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service use of KOKO’s data (create tools that assist teams in this process).
• Keep our data secure across national boundaries through multiple data centers and AWS regions
• As the team grows, help recruit and manage additional data engineers
• Represent the Data Engineering discipline during sprint planning meetings and retrospectives
• Help build the engineering culture at KOKO, attracting similar minded people with a passion for using technology to tackle hard challenges

What You Will Bring to KOKO

• At least three years experience in software development, data engineering, business intelligence, data science, or a related field
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• A track record of manipulating, processing, and extracting value from large datasets
• Demonstrated strength in data modeling, ETL development and optimisation, and data warehousing
• Experience working with big data technologies (preferably within AWS)
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with unstructured datasets
• Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
• Strong initiative, project management and organizational skills
• Strong communicator, both written and verbal, who is calm and decisive under pressure
• Proactive approach to knowledge sharing and developing best practices
• Strong experience taking part in sprints, being involved in planning, retrospectives and estimations with cross-functional teams

What We Offer

• Competitive salary plus a quarterly cash bonus