Jobs at Bluechip Technologies Limited

Description

• As part of our continued growth, we are seeking a proactive and experienced Human Resources Officer to join our Human Resources team.
• The successful candidate will support the execution of core HR functions, including recruitment, employee relations, performance management, policy implementation, learning and development, and HR administration, while ensuring compliance with organizational policies and applicable labour laws.

Key Responsibilities

• Coordinate end-to-end recruitment activities, including job postings, candidate screening, interview scheduling, and onboarding of new employees.
• Maintain accurate employee records and ensure all HR documentation is up to date and compliant.
• Administer employee onboarding, orientation, and exit processes.
• Support the implementation of performance management initiatives, including appraisals, probation reviews, and performance improvement plans.
• Serve as the first point of contact for employee queries and provide guidance on HR policies, procedures, and workplace matters.
• Coordinate learning and development programs, including training logistics, records, and evaluations.
• Prepare accurate learning and development reports.
• Ensure compliance with labour regulations, company policies, and HR best practices.
• Support payroll administration by ensuring timely and accurate submission of employee data and payroll-related changes.
• Collaborate with departmental managers to address workforce planning and staffing requirements.
• Participate in HR projects and continuous process improvement initiatives.

Qualifications & Requirements

• Bachelor’s Degree in Human Resources, Business Administration, Industrial Relations, Psychology, or a related discipline.
• Minimum of 2–4 years’ professional experience in Human Resources.
• Hands-on experience across key HR functions, including recruitment, employee relations, performance management, onboarding, and HR administration.
• Sound knowledge of Nigerian Labour Law and HR best practices.
• Experience using HR Information Systems (HRIS) and Microsoft Office Suite, particularly Excel.
• Strong organizational skills with the ability to manage multiple priorities and meet deadlines.
• Excellent written and verbal communication skills.
• High level of professionalism, confidentiality, and attention to detail.
• Professional HR certifications (CIPM, SHRM, HRCI, CIPD, or equivalent) will be an added advantage.

Key Competencies:

• Strong interpersonal and relationship management skills.
• Excellent communication and stakeholder engagement abilities.
• High level of integrity and confidentiality.
• Strong organizational, planning, and time management skills.
• Analytical thinking and problem-solving capability.
• Ability to work independently and collaboratively within a team.
• Proactive, detail-oriented, and results-driven.
• Proficiency in Microsoft Office applications, particularly Excel, Word, and PowerPoint.

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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

• Design, develop, test, and maintain large-scale data pipelines using Apache Kafka, Spark/PySpark, Flink, Airflow, Trino, and Apache Iceberg/Delta Lake.
• Build and support Bronze, Silver, and Gold medallion-layer data pipelines processing high-volume telecom data at terabyte and petabyte scale.
• Design and implement dimensional (Kimball-aligned) data models, including fact tables, dimension tables, star schemas, and slowly changing dimensions (SCDs).
• Contribute to data platform architecture by defining partitioning strategies, schema evolution, and storage optimization.
• 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.
• Translate business and analytics requirements into scalable data pipelines and reusable data products.
• Monitor pipeline performance, investigate and resolve data quality issues, and implement monitoring, alerting, and observability for production environments.
• Maintain architecture documentation, runbooks, data dictionaries, and technical documentation to ensure knowledge continuity and reduce key-person dependency.
• Mentor junior and mid-level Data Engineers through code reviews, technical guidance, and knowledge-sharing initiatives.
• Collaborate with Data Architects, BI Developers, Data Analysts, and Project Managers to deliver high-quality data solutions aligned with business objectives and project timelines.

Qualifications & Requirements

• Bachelor’s Degree in Computer Science, Engineering, Information Technology, or a related discipline (or equivalent practical experience).
• Minimum of 6 years’ professional experience in Data Engineering, including at least 3 years supporting large-scale (terabyte/petabyte) data platforms.
• Proven hands-on experience with the Apache Open-Source ecosystem, including Apache Spark (PySpark), Apache Kafka, Apache Airflow, andApache Iceberg or Delta Lake.
• Strong SQL expertise and practical experience designing and implementing dimensional (Kimball) data models.
• Experience building and supporting Medallion Architecture (Bronze, Silver, Gold) Lakehouse solutions with robust data quality and reconcilisation processes.
• Strong Python programming skills for data engineering, automation, testing, and pipeline development.
• 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.
• Experience with Huawei network probe data ingestion will be considered a significant advantage.
• Familiarity with workflow orchestration, CI/CD pipelines, and Infrastructure-as-Code practices.

Key Competencies:

• Strong client engagement and stakeholder management skills.
• Excellent written and verbal communication abilities.
• Demonstrated ownership mindset with strong documentation practices.
• Ability to manage multiple priorities across operational support and new solution delivery.
• Strong analytical, troubleshooting, and problem-solving skills.
• Collaborative team player with experience mentoring junior engineers.
• Reliable, dependable, and comfortable working within a client-embedded hybrid environment.