Analytics Engineer
AI summary
Flutterwave is hiring an Analytics Engineer to own the data transformation layer, building ingestion pipelines with Estuary, modeling data in dbt, and writing performant SQL and Python on Amazon Redshift. The role focuses on delivering clean, tested, and well-documented datasets that enable fast, accurate, and self-serve analytics across the business.
- Owns the full analytics transformation layer from raw data to trusted datasets
- Hands-on stack: dbt, Estuary, Amazon Redshift, Python, and Git-based CI/CD
- Minimum 3+ years in analytics engineering or data engineering required
- Focus on data quality, governance, and single-sourced semantic definitions
- Authorisation to work in Nigeria without sponsorship required
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Not enough public dataNot enough public salary data is available for this exact role. Before applying, prepare to ask about gross pay, benefits, contract length, probation period, transport and any allowances.
Can you qualify for this role?
- Required3+ years of relevant experienceThe job post includes a minimum experience signal.
- PreferredPractical evidence in factory, internship, part_timeThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in WaThe vacancy is associated with this location.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Analytics Engineer evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Flutterwave and the role in Wa.
- Add concrete examples related to factory, internship, part_time, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from JobNetworkNigeria; avoid sending documents to unofficial contacts or copied links.
- Confirm the deadline, interview location and employer contact before sharing personal documents.
- Prepare a polite question about pay, benefits and contract terms for later interview stages.
Source and safety check
- JobNetworkNigeria
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
Never pay for interviews, shortlisting, medical checks, uniforms, or job placement. Confirm every application at the original source before sharing personal documents. Report suspicious listing.
Interview preparation
- What experience makes you a strong fit for this Analytics Engineer role in factory, internship?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Wa under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Flutterwave before the interview.
Ask what the first priorities will be in the role and how success will be measured.
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Original source description
Overview 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 border-less manner. Job Position: Analytics Engineer Job Location: Lekki, Lagos Job 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. Job Responsibilities: dbt modeling: Build and maintain modular, tested, documented dbt models (staging → intermediate → marts); manage tests, macros, and materialisations. 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 optimisation). 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). Job Qualifications 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 modelling fundamentals (Kimball dimensional modelling, star schemas) Comfortable with Git-based version control and CI/CD Authorisation 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 How to Apply Interested and qualified candidates should: Click here to apply online Tagged as: Engineering Apply for job About Flutterwave 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 border-less manner.