Expert Data Platform Engineer at Melanin Kapital in London, England, United Kingdom | Kablio

Role

Description

finops

data governance

ai infrastructure

platform design

ci/cd templates

api modeling

Support the transition toward a more self-serve model through ADRs, RFCs, and well-defined ownership guidelines.
Define playbooks and guidelines that standardize how teams build pipelines, collaborate with Platform, and deliver AI-ready data.
Implement FinOps principles: baseline costs, identify inefficiencies, and reduce spend across data and AI workloads.
Serve as the technical authority for data platform and tracking architecture—guiding design decisions, tool selection, and engineering best practices.
Model access APIs
Design a next-generation data & AI platform that supports near-real-time ingestion, enrichment, and model-driven product features.
Translate AI Engineering requirements into clear specifications and capability roadmaps through spec-driven development.
Partner with Platform Engineering, TechOps, Data Science, and AI Engineering to drive alignment and cohesive infrastructure strategy.
Evaluate, consolidate, or replace redundant technologies, introducing scalable SaaS solutions where appropriate.
Document existing workflows across Analytics Engineering, Data Engineering, and AI Engineering to identify automation and process improvements.
Define and implement modern data governance: data quality, lineage, ownership, observability, and cost visibility.
Take full ownership of the AI Infrastructure components currently run by AI Engineering—ensuring reliability, scale, and clear fallback strategies.
Introduce streamlined development pathways for AI—templates for CI/CD, GitOps, Python microservices, and AI-specific libraries.
Mentor Data Engineers on modern Data Platform concepts—streaming, governance, observability, platform reliability, and AI-aligned workflows.
Increase trust across the organization through clear documentation, architecture records, and consistent communication.
Own and extend core AI-platform components, including:

Requirements

kafka

otel

terraform

python

sql

pinecone

Experience with event-driven systems and data contracts.
Exposure to AI/ML observability, vector databases, model gateways, or modern AI infra architectures.
Experience partnering with Data Science, AI Engineering, and cross-functional teams to translate requirements into scalable platform capabilities.
Expertise with streaming technologies (Kafka or similar), reverse-ETL, and modern big-data tooling.
OTEL collector for trace processing
Strong communicator with the ability to influence stakeholders and document architecture clearly.
Pinecone (vector database)
LLM Gateway (model routing, policies, cost controls)
Several years of experience as a software engineer or platform engineer working with large-scale data systems, streaming architectures, or data/AI platforms.
Experience building data, ML, or AI platforms in a B2B SaaS or product-led environment.
Experience mentoring, coaching, or leading engineers technically (even without direct reporting lines)
Familiarity with cost-optimizing cloud data workloads and data governance frameworks.
Arize AI (evals & observability)
Proven experience designing and delivering data platforms, including real-time ingestion, enrichment, data warehousing, and lake/lakehouse architectures.
Hands-on experience with platform components such as Terraform, Terragrunt, CI/CD pipelines, Python, SQL, and cloud-native infrastructure.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

€120K Funding

Pre-seed Investment

Raised approximately €120,000 in pre-seed funding in mid-2022 to validate and scale its model.

Founded in 2020 by diasporan entrepreneurs, the company bridges European capital and African SMEs through climate‑focused financing.
Its fintech platform enables last‑mile access to green equipment by pairing carbon credits with affordable loans.
Notable product lines include financing tailored to e‑mobility (“Kijani Move”), solar power equipment (“Kijani Power”), and solar irrigation or greenhouse systems (“Kijani Farm”).
Typically supports renewable energy and agricultural SMEs across Africa by reducing barriers to sustainable infrastructure investment.
Operates from hubs in Nairobi and Frankfurt, blending local African presence with international investor reach.
Unusually integrates impact measurement into credit scoring systems to facilitate sustainability-linked investment flows.

Culture + Values

A commitment to excellence drives the organization toward continuous improvement and high standards.
A focus on delivering innovative solutions ensures the organization stays at the forefront of industry advancements.
Collaboration with stakeholders fosters trust and mutual growth across all business relationships.
Empowering communities through impactful investment reflects the organization's dedication to social responsibility.
Sustainable growth and long-term value creation guide the organization's strategic planning and resource allocation.

Environment + Sustainability

Net Zero by 2035

Climate Goal

Aiming to achieve net zero emissions by 2035.

Focus on renewable energy investments
Promoting sustainable agriculture practices
Environmental risk mitigation through strategic investments

Inclusion & Diversity

Commitment to gender equality in the workplace
Diverse team with a balanced gender representation
Encouraging equal opportunities for career advancement

Articles

Melanin Kapital Contact Us

Scaling African SMEs and Fighting Climate Change Podcast

Melanin Kapital profile on Wellfound (careers overview)

Melanin Kapital profile on Devex

Role

Description

finops

data governance

ai infrastructure

platform design

ci/cd templates

api modeling

Support the transition toward a more self-serve model through ADRs, RFCs, and well-defined ownership guidelines.
Define playbooks and guidelines that standardize how teams build pipelines, collaborate with Platform, and deliver AI-ready data.
Implement FinOps principles: baseline costs, identify inefficiencies, and reduce spend across data and AI workloads.
Serve as the technical authority for data platform and tracking architecture—guiding design decisions, tool selection, and engineering best practices.
Model access APIs
Design a next-generation data & AI platform that supports near-real-time ingestion, enrichment, and model-driven product features.
Translate AI Engineering requirements into clear specifications and capability roadmaps through spec-driven development.
Partner with Platform Engineering, TechOps, Data Science, and AI Engineering to drive alignment and cohesive infrastructure strategy.
Evaluate, consolidate, or replace redundant technologies, introducing scalable SaaS solutions where appropriate.
Document existing workflows across Analytics Engineering, Data Engineering, and AI Engineering to identify automation and process improvements.
Define and implement modern data governance: data quality, lineage, ownership, observability, and cost visibility.
Take full ownership of the AI Infrastructure components currently run by AI Engineering—ensuring reliability, scale, and clear fallback strategies.
Introduce streamlined development pathways for AI—templates for CI/CD, GitOps, Python microservices, and AI-specific libraries.
Mentor Data Engineers on modern Data Platform concepts—streaming, governance, observability, platform reliability, and AI-aligned workflows.
Increase trust across the organization through clear documentation, architecture records, and consistent communication.
Own and extend core AI-platform components, including:

Requirements

kafka

otel

terraform

python

sql

pinecone

Experience with event-driven systems and data contracts.
Exposure to AI/ML observability, vector databases, model gateways, or modern AI infra architectures.
Experience partnering with Data Science, AI Engineering, and cross-functional teams to translate requirements into scalable platform capabilities.
Expertise with streaming technologies (Kafka or similar), reverse-ETL, and modern big-data tooling.
OTEL collector for trace processing
Strong communicator with the ability to influence stakeholders and document architecture clearly.
Pinecone (vector database)
LLM Gateway (model routing, policies, cost controls)
Several years of experience as a software engineer or platform engineer working with large-scale data systems, streaming architectures, or data/AI platforms.
Experience building data, ML, or AI platforms in a B2B SaaS or product-led environment.
Experience mentoring, coaching, or leading engineers technically (even without direct reporting lines)
Familiarity with cost-optimizing cloud data workloads and data governance frameworks.
Arize AI (evals & observability)
Proven experience designing and delivering data platforms, including real-time ingestion, enrichment, data warehousing, and lake/lakehouse architectures.
Hands-on experience with platform components such as Terraform, Terragrunt, CI/CD pipelines, Python, SQL, and cloud-native infrastructure.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

€120K Funding

Pre-seed Investment

Raised approximately €120,000 in pre-seed funding in mid-2022 to validate and scale its model.

Founded in 2020 by diasporan entrepreneurs, the company bridges European capital and African SMEs through climate‑focused financing.
Its fintech platform enables last‑mile access to green equipment by pairing carbon credits with affordable loans.
Notable product lines include financing tailored to e‑mobility (“Kijani Move”), solar power equipment (“Kijani Power”), and solar irrigation or greenhouse systems (“Kijani Farm”).
Typically supports renewable energy and agricultural SMEs across Africa by reducing barriers to sustainable infrastructure investment.
Operates from hubs in Nairobi and Frankfurt, blending local African presence with international investor reach.
Unusually integrates impact measurement into credit scoring systems to facilitate sustainability-linked investment flows.

Culture + Values

A commitment to excellence drives the organization toward continuous improvement and high standards.
A focus on delivering innovative solutions ensures the organization stays at the forefront of industry advancements.
Collaboration with stakeholders fosters trust and mutual growth across all business relationships.
Empowering communities through impactful investment reflects the organization's dedication to social responsibility.
Sustainable growth and long-term value creation guide the organization's strategic planning and resource allocation.

Environment + Sustainability

Net Zero by 2035

Climate Goal

Aiming to achieve net zero emissions by 2035.

Focus on renewable energy investments
Promoting sustainable agriculture practices
Environmental risk mitigation through strategic investments

Inclusion & Diversity

Commitment to gender equality in the workplace
Diverse team with a balanced gender representation
Encouraging equal opportunities for career advancement

Articles

Melanin Kapital Contact Us

Scaling African SMEs and Fighting Climate Change Podcast

Melanin Kapital profile on Wellfound (careers overview)

Melanin Kapital profile on Devex