Flutterwave was founded on the principle that every African must be able to participate and thrive in the global economy. To achieve this objective, we have built a trusted payment infrastructure that allows consumers and businesses (African and International) make and receive payments in a convenient borderless manner.
The role: Flutterwave is looking for an analytics engineer who will own the transformation layer that turns raw, streaming, and batch data into clean, tested, and well-documented datasets. Build ingestion pipelines with Estuary, model data in dbt, and write performant SQL and Python on Amazon Redshift to make analytics accurate, fast, and self-serve.
Responsibilities include, but are not limited to:
- dbt modeling: Build and maintain modular, tested, documented dbt models (staging → intermediate → marts); manage tests, macros, and materializations.
- Estuary pipelines: Build and monitor real-time and batch ingestion, including CDC from operational sources; handle schema evolution, backfills, and connector issues.
- Redshift & SQL: Write performant SQL and design dimensional models; tune queries and warehouse performance (dist/sort keys, WLM, cost optimization).
- Python: Automate transformations, orchestration hooks, custom dbt macros, and API integrations.
- Data quality & testing: Establish tests, freshness checks, monitoring, and alerting; own CI/CD for analytics code via Git.
- Documentation & semantics: Maintain model and metric documentation and a consistent semantic layer so definitions stay single-sourced.
- Collaboration: Partner with analysts, data scientists, and business teams to translate requirements into scalable, trustworthy datasets.
- Governance: Apply access controls, PII handling, and data privacy practices (e.g., GDPR, SOC 2).
Required competency and skillset to be a waver
- Minimum 3+ years in analytics engineering, data engineering, or a similar role.
- Strong production SQL (window functions, CTEs, performance tuning)
- Hands-on dbt experience in production
- Proficiency in Python for data workflows and automation
- Experience with Amazon Redshift (dist/sort keys, WLM, tuning)
- Experience with ELT/CDC ingestion tooling — Estuary or comparable (Fivetran, Airbyte, Debezium, Kafka)
- Solid data modeling fundamentals (Kimball dimensional modeling, star schemas)
- Comfortable with Git-based version control and CI/CD
- Authorization to work in the country without sponsorship
Preferred qualifications include:
- Real-time / streaming and CDC architecture experience
- Orchestration tools (Airflow, Dagster, Prefect, dbt Cloud)
- BI tools and semantic layers (Looker, Tableau, Power BI)
- Data observability (Elementary, Great Expectations)
- AWS ecosystem familiarity (S3, Glue, IAM), Docker
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Skills Required
- Minimum 3+ years in analytics engineering, data engineering, or similar
- Strong production SQL (window functions, CTEs, performance tuning)
- Hands-on dbt experience in production
- Proficiency in Python for data workflows and automation
- Experience with Amazon Redshift (dist/sort keys, WLM, tuning)
- Experience with ELT/CDC ingestion tooling (Estuary or comparable: Fivetran, Airbyte, Debezium, Kafka)
- Solid data modeling fundamentals (Kimball dimensional modeling, star schemas)
- Comfortable with Git-based version control and CI/CD
- Experience owning data quality, testing, monitoring, and alerting for analytics pipelines
- Authorization to work in the country without sponsorship
- Real-time / streaming and CDC architecture experience
- Familiarity with orchestration tools (Airflow, Dagster, Prefect, dbt Cloud)
- Experience with BI tools and semantic layers (Looker, Tableau, Power BI)
- Data observability tools (Elementary, Great Expectations)
- AWS ecosystem familiarity (S3, Glue, IAM) and Docker
What We Do
At Flutterwave, we are on a mission to build payments infrastructure to connect Africa to the global economy. We do this by building technology, tools, and infrastructure for businesses and banks who want to provide a more seamless and secure payments experience for their customers. Founded in 2016 by a team of African finance and technology veterans from Standard Bank, PayPal, Google Wallet amongst others. Flutterwave has grown to become one of the fastest growing payments companies in the world. Since inception Flutterwave has processed close to $2 billion in payments and 25 million transactions across over 33 African countries where it currently operates. It has attracted significant investment from experienced Fintech investors such as Ycombinator Continuity Fund (investors in Stripe), Greycroft (investors in Braintree and Venmo), Greenvisor Capital, Omidyar Network, and Glynn Capital amongst others. In 2017 Flutterwave was named Africa’s best fintech company at the Apps Africa Innovation Awards.
