Senior Data Engineer
AI summary
Asnas Atlantic Services Limited is hiring a Senior Data Engineer in Lagos to strengthen its Data Science Team. The role focuses on designing ETL processes, managing data pipelines, deploying machine learning models to production, and ensuring data quality across multiple systems. The position is full-time with a salary range of NGN 150,000 – 250,000.
- Full-time role based in Lagos, Nigeria
- Salary range NGN 150,000 – 250,000
- Focus on ETL, data pipelines, and ML model deployment
- Requires Python, SQL/NoSQL, Kafka, Docker, Kubernetes, and cloud platforms
- Posted 1 week ago and marked as new
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 NGN 150,000 - 250,000. Confirm the final pay, benefits, contract terms and allowances directly with the employer before accepting an offer.
Can you qualify for this role?
- UnclearRelated work experienceThe text mentions experience, but the exact level should be confirmed at source.
- RequiredEducation or certification mentioned in the postThe captured text mentions education, a diploma, certificate, or licence.
- PreferredPractical evidence in no_experience, part_time, sem_experienciaThe tags and summary point to skills connected with this role.
- RequiredAvailability to work in LagosThe 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 Senior Data Engineer evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Asnas Atlantic Services Limited and the role in Lagos.
- Add concrete examples related to no_experience, part_time, sem_experiencia, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Jobberman Nigeria; 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
- Jobberman Nigeria
- Original source link available
- Application method is clear
- Deadline not specified
- No major risk signal was detected in the captured text.
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Interview preparation
- What experience makes you a strong fit for this Senior Data Engineer role in no_experience, part_time?
- How have you handled responsibilities similar to those in this job post?
- Are you available to work in Lagos under the listed contract or schedule?
- Prepare examples with clear responsibilities, tools used and measurable outcomes.
- Review the source and research Asnas Atlantic Services Limited 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
A
Senior Data Engineer
Asnas Atlantic Services Limited
Engineering & Technology
1 week ago
Easy apply
New
Lagos
Full Time
IT & Telecoms
NGN
150,000 - 250,000
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Job summary
We’re seeking a Senior Data Engineer to enhance our Data Science Team, focusing on implementing and managing data workflows that support machine learning models and large-scale analytics. This role involves designing ETL processes, ensuring data quality, and deploying ML models to production.
Min Qualification:
Degree
Experience Level:
No Experience
Experience Length:
No Experience/Less than 1 year
Language Requirement:
English
Working Hours:
Full Time - 8 to 5
Applicant Location:
Lagos, Nigeria
Job descriptions & requirements
Key Accountabilities
- Design and implement ETL processes for data transformation and preparation
- Deploy machine learning models to production environments
- Manage data pipelines for analytics and operational use
- Ensure data accuracy and integrity across multiple sources and systems
- Collaborate with data scientists to support NLP algorithms and analytics
Requirements
- Experience in data engineering within a production environment
- Advanced knowledge of Python and Linux shell scripting
- Experience with SQL/NoSQL databases (e.g., Redshift, Postgres, MongoDB)
- Proficiency in building stream processing systems using Kafka
- Familiarity with Docker, Kubernetes, and cloud services (AWS, GCP)
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