IN
Data Engineer creating data pipelines for Santander's card transactions. Collaborating with an agile team in strategic projects involving Databricks and PySpark.
About the role
- Design and develop data models that support the analytics requirements of internal stakeholders
- Design and develop the tools and processes to enable our employees and customers to develop dashboards for business analytics taking analytics to the next level with the support of AI and other automation tools
- Build and maintain dashboards using Tableau to support regular business analytics and project-specific data needs of the company
- Establish strong data governance practices following principles of secure and reliable data management and quality control
- Explore AI capabilities in the Business Intelligence function
- Support the infrastructure management and maintenance of Snowflake, the analytics data warehouse
- Work on API data ingestion and help manage our ETL services (Hevo, Stitch, Buildkite, DBT)
- Design and engineer data transformations in our data warehouse to power stakeholder-facing dashboards and prepare data for reverse ETL to business systems (e.g. pushing results back out to Salesforce)
- Support the process of model deployment and development by creating a feature store to feed into these products
- Interface with Finance, Sales, Customer Experience and colleagues across the company to develop deep understanding of data sources and design analytics solutions
- Dual reporting lines: US-based Finance Manager and Kenya-based Director of Engineering
Requirements
- 4+ years of practical experience in a role requiring frequent use of SQL or SQL + Python
- Relevant graduate degree
- Strong SQL skills (Angaza uses Snowflake with DBT in our data stack)
- Proficiency creating ETL & analytics products in Python (NumPy, Pandas, psycopg2 or other SQL interface, and a visualization library of your choice)
- Experience developing in DBT, or a comparable transformation tool
- Experience with maintaining and managing infrastructure using infrastructure as code tools like Terraform
- Experience with ETL services and API data ingestion (Hevo, Stitch, Buildkite)
- Strong Git change control practices (nice to have)
- Experience using AI or automations to improve data engineering, analytics & visualization (nice to have)
- Possess strong business insight and appreciation of the challenges facing growing businesses
- Strong quantitative, problem-solving, and project management skills
- Excellent written and verbal communication skills
- Strong attention to detail
- Exemplify Angaza’s values: impact-driven, empathetic, courageous, trustworthy, and collaborative
- Based out of the Nairobi, Kenya office (role is Nairobi-based)
Benefits
- Remote workplace with occasional team in-office days
Job title
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