Solution Engineer
AI summary
Digital Divide Data (DDD) is hiring a Solution Engineer in Nairobi, Kenya. The role involves designing data ingestion pipelines, building Dockerised services, deploying workloads on Google Cloud Run, and integrating AI-powered capabilities. Candidates need 2+ years of experience in data engineering, cloud engineering, or backend development with strong Python, GCP, and SQL skills.
- Full-time onsite role in Nairobi, Kenya
- 2+ years experience in data engineering, cloud engineering or backend development required
- Strong Python, Docker, Google Cloud Platform and SQL skills needed
- Work with BigQuery, Cloud Run, Redis, VPC, Artifact Registry and Cloud Storage
- AI/ML experience with embeddings, LLMs, MCP and agentic frameworks is a plus
- Apply via smrtr.io through Digital Divide Data
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?
- Required2+ years of relevant experienceThe job post includes a minimum experience signal.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in full time, onsite, mid-levelThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in Not specifiedThe vacancy is associated with this location.
- UnclearComfort with the Full Time contract termsConfirm hours, duration, probation and benefits at the original source.
Documents to prepare
- Likely requiredUpdated CV
- Role specificCover letter or short employer message
- OptionalProfessional references
- Role specificAcademic or professional certificates
- VerifyID or passport only after verifying the employer
Application tips for this job
- Place your strongest Solution Engineer evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Digital Divide Data and the role in Not specified.
- Add concrete examples related to full time, onsite, mid-level, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from MyJobMag Kenya; 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
- MyJobMag Kenya
- 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 Solution Engineer role in full time, onsite?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Not specified under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Digital Divide Data 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
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contact us
DDD delivers high-quality, competitively priced business process outsourcing (BPO) solutions to clients worldwide. At the same time, DDD’s innovative social model enables talent from underserved populations to access professional opportunities and earn lasting higher income, including youth from low-income families in developing countries, as well as m...
Solution Engineer
Job Type
Full Time
,
Onsite
Qualification
BA/BSc/HND
,
Diploma
Experience
- 2 years
- Location
- Nairobi
- Job Field
- Data, Business Analysis and AI
- ,
- ICT / Computer
- What you’ll do
- Design and build robust data ingestion pipelines, transforming raw CSV/TSV data into structured, queryable datasets.
- Model custom entities and map diverse data sources into standardised target schemas.
- Build and manage data environments using
- SQLite, Google Cloud SQL and BigQuery
- .
- Develop and maintain
- Dockerised services
- for data loading, embedding generation and data-serving applications.
- Deploy and operate production workloads on
- Google Cloud Run
- , with a focus on scalability, reliability and high availability.
- Work across
- Redis, VPC networking, Artifact Registry and Cloud Storage
- .
- Implement secure cloud architectures using
- Cloud IAM, VPC and Cloud Run ingress controls
- .
- Automate data workflows and deployments through
- GitHub Actions
- , including scheduled ingestion, ID mapping, embedding generation and container builds.
- Build and integrate
- AI-powered capabilities
- , including natural-language querying, semantic search, embeddings and LLM-powered workflows.
- Contribute to emerging
- agentic architectures and integrations
- , including technologies such as Model Context Protocol (MCP).
- What we’re looking for
- You bring:
- 2+ years’
- in data engineering, cloud engineering or backend development.
- Strong
- Python
- development skills, including practical
- with
- Pandas
- .
- Solid
- with
- Docker
- and containerised applications.
- Strong working knowledge of
- Google Cloud Platform
- , particularly cloud compute, managed databases, data warehousing, networking and IAM.
- Strong
- SQL
- skills and
- working with both relational and analytical data stores.
- designing, building and consuming
- REST APIs
- .
- A strong engineering mindset, with the ability to work independently, troubleshoot complex problems and take ownership from development through to production.
- It’s a plus if you have
- with
- AI/ML engineering
- , particularly embeddings, Sentence Transformers or LLM applications.
- Exposure to
- agentic frameworks, MCP or other emerging AI integration patterns
- .
- with
- Flask and Jinja
- .
- Familiarity with
- WSL
- and Google Cloud Shell.
- Why this opportunity?
- Because you’ll be building more than pipelines.
- You’ll help create the
- technical foundation for intelligent, data-driven applications,
- where secure cloud infrastructure, high-quality data and AI come together.
- If you’re looking to deepen your expertise in
- cloud and data engineering while growing into applied AI
- , this role offers the opportunity to work on that evolution firsthand.
- Check how your CV aligns with this job
- Method of Application
- Interested and qualified? Go to
- Digital Divide Data on smrtr.io
- to apply
- Build your CV for free.
- Download in different templates.