Data Engineer
AI summary
CloudFactory is hiring a Data Engineer in Nairobi to build and maintain data pipelines and models powering reporting and analytics. The role uses Fivetran, DBT, Snowflake, Python, and data visualization tools, and is a full-time, fixed-term 6-month position. Candidates need 2–4 years of data engineering experience and strong SQL and Python skills.
- Full-time, fixed-term 6-month employee role based in Nairobi
- Hands-on work with Fivetran, DBT, Snowflake, Python, and Tableau/QuickSight
- Focus on data pipelines, modelling, quality, and governance
- Requires 2–4 years of data engineering experience
- Bachelor's degree in Computer Science, Data Engineering, or related field
AI job guide
Use this guide to check salary signals, requirements, documents, application steps and safety before you apply.
AI salary guide
Source salary availableThe source lists Market competitive sala. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
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 security, cleaning, factoryThe 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 Contract, 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 Data Engineer evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to CloudFactory and the role in Not specified.
- Add concrete examples related to security, cleaning, factory, 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.
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 Data Engineer role in security, cleaning?
- 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 CloudFactory 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
- Never pay for any notarisation, certificate or assessment as part of any recruitment process. When in doubt,
- contact us
- CloudFactory is changing the way the world works by providing an on-demand, digital workforce for scaling critical business processes in the cloud.
- We’re also on a mission to create meaningful work for as many people as possible.
- Read more about this company
- Data Engineer
- Job Type
- Contract
- ,
- Full Time
- ,
- Hybrid
- Qualification
- BA/BSc/HND
Experience
2 - 4 years
Location
Nairobi
Job Field
Data, Business Analysis and AI
,
ICT / Computer
Role Summary
As a Data Engineer, you will build and maintain the data pipelines and models that power CloudFactory's reporting and analytics. You will work with tools such as Fivetran, DBT, Snowflake, and Python to extract, transform, and model data, while ensuring data quality, security, and governance standards are consistently met. This is a great opportunity to grow your data engineering expertise within a mission-driven, fast-scaling organization.
Please note:
This is a full-time, fixed-term employee position with an expected duration of 6 months.
building and maintaining data pipelines from common data sources.
Understanding of data modelling methodologies and normalization principles for data warehousing.
implementing data quality checks and following data governance practices.
Familiarity with data visualization tools and best practices for effective dashboards.
Strong SQL skills for querying and transforming data.
Good communication skills, able to collaborate with stakeholders on data requirements.
Academic And Professional
in data engineering or a related role.
Nice-to-have skills (preferred)
with Snowflake performance optimization.
Exposure to workflow orchestration tools.
Familiarity with data governance frameworks.
Responsibilities
- Data Pipeline Development
- Develop data pipelines in Fivetran to extract data from common data sources.
- Write Python scripts, using libraries such as Pandas, for data cleaning and transformation.
- Create data models in DBT with transformations and joins between tables.
- Data Quality and Governance
- Implement data quality checks in DBT and Snowflake to identify and address data quality issues.
- Follow established data governance practices, including access controls and documentation procedures.
- Monitor data pipelines for errors or inconsistencies, reporting issues to senior engineers.
- Data Modelling and Design
- Design and document conceptual and logical data models for well-defined datasets, considering star schema or data vault principles.
- Apply data normalization techniques and select appropriate data types based on data characteristics.
- Collaborate with stakeholders to understand their data needs and identify potential model improvements.
- Data Visualization Support
- Create data visualizations in QuickSight or Tableau to explore and communicate data insights.
- Select appropriate chart types and apply dashboard design principles for effective communication.
- Delivery And Testing
- Take ownership of designing and implementing moderately complex data engineering tasks, identifying dependencies and risks during planning.
- Write integration tests to verify how code interacts with other parts of the data pipeline.
- Data Security And Compliance
- Adhere to established data security and compliance protocols while handling data.
- Follow data access control procedures and complete required data security and compliance training.
Requirements
- Must-have skills (required)
- Good understanding of data engineering concepts, data transformation techniques, and tools such as Fivetran, DBT, Snowflake, and QuickSight or Tableau.
- Proficient in Python, including libraries such as Pandas, for data cleaning and transformation.
- Bachelor's degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience.
- 2–4 years of
Benefits
- Great Mission and Culture
- Meaningful Work
- Market competitive salary
- Quarterly variable compensation
- Comprehensive medical cover
- Group life insurance
- Personal development and growth opportunities
- Office snacks and lunch
- Periodic team building and social events
- Check how your CV aligns with this job
- Method of Application
- Interested and qualified? Go to
- CloudFactory on jobs.workable.com
- to apply
- Build your CV for free.
- Download in different templates.