Who you are

• 5+ years as an analytics or data engineer. Software engineering experience that focused on data platforms also counts
• 3+ years of involved experience with Snowflake.This should ideally include experience with performance optimization
• Experience with dimensional modeling. Ideally you would have built two or more dimensional marts
• Strong python, sql and dbt experience
• Familiarity with managing an orchestration platform like dagster or airflow
• Are proficient in SQL and Python
• Are a self-starter that excels at exploring problems and collaborating closely with operations teams to drive growth through data
• Have excellent focus, prioritizing your research and work using an iterative approach (you know when a project is good enough to stop, and you rarely get lost in details)
• Are able to compellingly present your findings to technical and non-technical audiences and make proactive recommendations based on data
• You excel at choosing the right complexity of analysis for any given business problem, from simple SQL queries to complex experimentation

What the job involves

• Wave is now the largest financial institution in Senegal, with over 7 million users. And, we’re still in the early days of our product roadmap and potential impact on people’s everyday lives
• As a senior analytics engineer, you will work to make Wave’s data easy, safe, and reliable to use, enabling better products for our customers
• Leading dimensional design to structure Wave’s analytics data in ways that are helpful for human and AI end users
• Building out facts, dimensions and One Big Tables (OBTs) as appropriate for a focus area at Wave
• Understanding the tradeoffs between creating semantic layers at different parts of the stack with a final recommendation
• Standardizing metric creation and usage
• Building out ways to make it easy to add context for LLMs to data models
• Managing our extensive snowflake estate with a strong analytical mindset
• Finding patterns that are repeated frequently and optimizing them
• Building tools to identify and turn off stale/unused models
• Evaluating the impact of an optimization on costs and performance
• Building tools to improve the analytics development experience
• Creating helpful dbt macros
• CI/CD checks that catch possibly exploding joins
• Reducing the pain of iterating on metric design
• Outside of the focus areas, folk in this role will also
• Be responsible for the design, build and health of all of our ETL pipelines. Part of the role includes being ‘on-duty’. On duty responsibilities require that you have a working understanding of most parts of the stack
• Champion best practice across data
• Be a key partner in the road map of the data platform team

The application process

• Pload a resume in English and a cover letter describing your interest in Wave and the role
• We review applications frequently

Benefits

• Subsidised health insurance for you and your dependents (vary from country to country)
• 6 months fully paid parental leave and subsidized fertility assistance
• Flexible vacation, with most folks taking between 30-40 days per year
• $10,000 annual charitable donation matching
• Retirement contributions (vary from country to country)
• Yearly travel to one of our African operating countries