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  • Posted: Aug 15, 2025
    Deadline: Not specified
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  • DAG Nigeria Industries Limited, registered with corporate affairs Nigeria in 2004 and the Company started regular operations effective 21st May 2005. The initial operations were from No 3 Billings Way, Ikeja, Lagos. The first auspicious product sale was Bajaj Boxer S on Nov 21st 2005. The parent company, DAG, was established in 2003, in U.A.E., has been a...
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    Data Engineer

    Why This Role Exists

    • DAG Industries Nigeria is digitizing. You’ll build reliable data pipelines and models that turn raw data into trustworthy, analytics-ready datasets—fuelling decisions across the business in real time.

    Responsibilities
    What you’ll do:

    • Own data pipelines end-to-end: Design, build, and maintain batch pipelines for all business units.
    • Model the data: Implement robust data models that support BI, ML, and operational use cases.
    • Manage storage layers: Create modern data lakes/lakehouses and warehouse schemas; ensure efficient partitioning, compaction, and cost control.
    • Harden data quality: Implement tests, contracts, and observability (lineage, metadata, SLAs).
    • Secure & govern: Apply best practices for IAM, data masking, encryption, and compliance with NDPR and company policies.
    • Collaborate & enable: Partner with our business units to define datasets, publish documentation, and enable self-service.
    • Automate the platform: Use CI/CD and Infrastructure-as-Code to provision and maintain data infrastructure reliably and use tools for workflow orchestration.
    • Continuously improve: Profile workloads, tune jobs, and reduce costs while improving reliability and performance.

    Must-Have Skills & Experience:

    • Programming Languages: Proficiency in Python, Java, or Scala (one or more).
    • Database Management: Strong SQL and hands-on experience with both relational (e.g., Postgres, MySQL, SQL Server) and NoSQL stores (e.g., MongoDB, Cassandra, DynamoDB).
    • ETL/ELT Processes: Proven experience designing and operating Extract–Transform–Load workflows (batch and streaming).
    • Data Modelling: Solid grasp of data modelling concepts and techniques (OLTP vs. OLAP, dimensional modelling, normalization).
    • Automation: experience in creating automation with scripting and Microsoft Power Apps.
    • Cloud Computing: Working knowledge of AWS, Azure, or Google Cloud services for data engineering (e.g., S3/ADLS/GCS, EMR/Databricks/Synapse/BigQuery, MSK/Kinesis/Pub/Sub).
    • Big Data Technologies: Practical familiarity with Hadoop, Spark, and Kafka.
    • Foundations: Git, Linux, containers; writing production-grade, testable code; clear documentation.

    Nice to have:

    • Airflow/Dagster orchestration expertise; dbt for transformations.
    • Knowledge about lakehouse patterns (Delta/Apache Hudi/Iceberg) and columnar formats (Parquet).
    • Data quality/observability tooling (Great Expectations, Monte Carlo, OpenLineage).
    • CI/CD (GitHub Actions, GitLab CI, Azure DevOps) and IaC (Terraform, CloudFormation).
    • BI exposure (Power BI, Looker, Tableau, Qlik Sense) and ML feature pipelines (Feast, Tecton) a plus.
    • Domain experience in automotive, aftermarket, logistics, or multi-site service networks.

    Requirements
    Education & Experience:

    • Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience.
    • 3–7+ years in data engineering (title/level will align with experience and scope).

    Check how your CV aligns with this job

    Method of Application

    Interested and qualified candidates should send their CV to: Kingsley.o@bajajnigeria.com using the job title as the subject of the mail.

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