Senior Data Engineer (Hybrid)
AI summary
Bluechip Technologies Limited is hiring an experienced Senior Data Engineer for a permanent, client-embedded role supporting tier-1 telecom customers. The position involves building and operating large-scale Apache Lakehouse and analytics platforms, designing data pipelines with Kafka, Spark, Flink, Airflow, Trino, and Iceberg/Delta Lake, and mentoring junior engineers. The role is hybrid and based in Nigeria.
- Permanent, client-embedded role with tier-1 telecom customers
- Work with large-scale Apache Lakehouse and analytics platforms at terabyte/petabyte scale
- Hybrid work arrangement based in Nigeria
- Opportunity to mentor junior and mid-level Data Engineers
- Trusted technical partner role with direct client engagement
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?
- Required6+ 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 entregador, technology, Data EngineerThe 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 Permanent 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 (Hybrid) evidence in the first half of your CV.
- In your cover letter or employer message, connect your experience to Bluechip Technologies Limited and the role in Not specified.
- Add concrete examples related to entregador, technology, Data Engineer, ideally with measurable outcomes or clear responsibilities.
- Follow the instructions from Jobzilla Nigeria; 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
- Jobzilla Nigeria
- 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 Senior Data Engineer (Hybrid) role in entregador, technology?
- 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 Bluechip Technologies Limited before the interview.
Ask what the first priorities will be in the role and how success will be measured.
Similar jobs to consider
Use AI to apply better
After confirming the original source, use Career Assistant to check role fit, tailor your CV and prepare a cover letter or employer message.
Original source description
As part of our continued growth, we are seeking an experienced Senior Data Engineer to join our Data Services Division.
This is a permanent, client-embedded role supporting tier-1 telecom customers, where you will build, operate, and continuously enhance large-scale Apache Open-Source Lakehouse and analytics platforms.
The successful candidate will play a critical role in ensuring platform reliability, delivering new analytics use cases, and serving as a trusted technical partner to our client.
Key Responsibilities
- Monitor pipeline performance, investigate and resolve data quality issues, and implement monitoring, alerting, and observability for production environments.
- Serve as the primary technical point of contact for client data engineering requirements, participating in client meetings and resolving operational issues within agreed service levels.
- Contribute to data platform architecture by defining partitioning strategies, schema evolution, and storage optimization.
- Design and implement dimensional (Kimball-aligned) data models, including fact tables, dimension tables, star schemas, and slowly changing dimensions (SCDs).
- Design, develop, test, and maintain large-scale data pipelines using Apache Kafka, Spark/PySpark, Flink, Airflow, Trino, and Apache Iceberg/Delta Lake.
- Translate business and analytics requirements into scalable data pipelines and reusable data products.
- Maintain architecture documentation, runbooks, data dictionaries, and technical documentation to ensure knowledge continuity and reduce key-person dependency.
- Collaborate with Data Architects, BI Developers, Data Analysts, and Project Managers to deliver high-quality data solutions aligned with business objectives and project timelines.
- Mentor junior and mid-level Data Engineers through code reviews, technical guidance, and knowledge-sharing initiatives.
- Build and support
- Bronze, Silver, and Gold
- medallion-layer data pipelines processing high-volume telecom data at terabyte and petabyte scale.
- Qualifications & Requirements
- Minimum of 6 years’ professional experience in Data Engineering, including at least 3 years supporting large-scale (terabyte/petabyte) data platforms.
- Strong Python programming skills for data engineering, automation, testing, and pipeline development.
- Bachelor’s Degree in Computer Science, Engineering, Information Technology, or a related discipline (or equivalent practical experience).
- Strong SQL expertise and practical experience designing and implementing dimensional (Kimball) data models.
- Proven hands-on experience with the Apache Open-Source ecosystem, including Apache Spark (PySpark), Apache Kafka, Apache Airflow, andApache Iceberg or Delta Lake.
- Familiarity with workflow orchestration, CI/CD pipelines, and Infrastructure-as-Code practices.
- Experience with Huawei network probe data ingestion will be considered a significant advantage.
- Experience building and supporting Medallion Architecture (Bronze, Silver, Gold) Lakehouse solutions with robust data quality and reconcilisation processes.
- Experience working within Linux and cloud-based environments.
- Experience with telecom data sources such as Call Detail Records (CDRs), OSS/BSS systems, network probe data, or similar large-scale datasets is highly desirable.
- Key Competencies:
- Ability to manage multiple priorities across operational support and new solution delivery.
- Demonstrated ownership mindset with strong documentation practices.
- Collaborative team player with experience mentoring junior engineers.
- Strong client engagement and stakeholder management skills.
- Reliable, dependable, and comfortable working within a client-embedded hybrid environment.
- Excellent written and verbal communication abilities.
- Strong analytical, troubleshooting, and problem-solving skills.
- What We Offer
- A collaborative, innovative, and inclusive work environment.
- Competitive, performance-driven salary package.
- Hybrid work model with modern tools and technologies.
- Pension and retirement savings plan.
- Exposure to enterprise-scale data engineering projects and emerging technologies.
- Continuous learning, technical certifications, and professional development opportunities.
- Comprehensive health insurance and employee benefits.
- How to Apply
- Interested and qualified candidates should:
- Click here to apply online
- View all Jobs in Nigeria
- Senior Data Engineer job vacancies in Nigeria