Maersk Careers 2026 Hiring Associate Data Engineer| Apply Now

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Cyber Tecz
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Maersk Careers 2026
Maersk Careers 2026

Maersk Careers 2026 Hiring Associate Data Engineer| Apply Now

Maersk has announced its Careers 2026 hiring drive for the position of Associate Data Engineer, offering an excellent opportunity for skilled graduates and early professionals to join a global leader in logistics and supply chain innovation. This role focuses on data pipelines, analytics platforms, and modern data engineering technologies, providing hands-on experience with real-world business data. Candidates selected for the Maersk Associate Data Engineer position will benefit from competitive compensation, professional training, and long-term career growth in a technology-driven environment.

Job Details:

  • Designation: Associate Data Engineer
  • Company: Maersk
  • Educational Qualification: B.E/B.Tech,M.E/M.Tech
  • Experience Required: 0 – 1 Year
  • Location:  Pune, India
  • Compensation: Best in Industry

Job Description:

We are seeking a highly skilled Data Engineer with deep expertise in data engineering concepts, cloud platforms, engineering and operational excellence, and ML Ops practices. The candidate will play a key role in designing, building, and optimizing scalable data infrastructure, enabling efficient data flows across the organization, and supporting machine learning initiatives.

Required Skills and Qualifications:

  • Strong foundation in data engineering concepts: data modeling, pipelines, batch/streaming (Kafka, Spark, Flink, or similar).
  • Proficiency in cloud services (AWS, Azure, or GCP) with solid experience in cloud-native data tools (e.g., BigQuery, Redshift, Synapse, Databricks, Snowflake).
  • Hands-on expertise with modern data orchestration frameworks (Airflow, Prefect, Dagster).
  • Strong coding skills in Python, SQL, and one additional language (Scala/Java preferred).
  • Experience with engineering excellence practices: version control, CI/CD, unit/integration testing, observability, and performance optimization.
  • Background in operational excellence methodologies (SRE principles, system reliability, monitoring, alerting).
  • Familiarity with ML Ops frameworks (MLflow, Kubeflow, Vertex AI, or Azure ML) and ability to work closely with ML engineers.
  • Understanding of containerization and orchestration (Docker, Kubernetes).
  • Knowledge of data governance and compliance best practices (security, access management, GDPR/PII handling).

Preferred Qualifications:

  • Experience in designing large-scale data platforms serving both analytics and AI/ML needs.
  • Exposure to real-time streaming architectures.
  • Familiarity with DevOps principles in the context of data and machine learning workflows.
  • Strong problem-solving skills, with an emphasis on scalability and reliability.
  • Excellent communication skills and ability to work in cross-functional, global teams.

Education:

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related field.

Responsibilities:

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes to process structured and unstructured data.
  • Implement robust data models, data lakes, and data warehouses that enable analytics and machine learning use cases.
  • Collaborate with software engineers, data scientists, and business stakeholders to deliver high-quality, production-ready data solutions.
  • Ensure data quality, governance, and lineage tracking across all data assets.
  • Drive operational excellence through automation, monitoring, and alerting for data systems.
  • Apply engineering best practices (CI/CD, testing frameworks, code reviews, performance optimization) to ensure reliability and maintainability of data workflows.
  • Partner with ML engineering and research teams to establish ML Ops pipelines, ensuring reproducibility, model deployment, monitoring, and scalability in production environments.
  • Optimize cloud-based data platforms (e.g., AWS, Azure, GCP) for cost, performance, and security.
  • Contribute to internal standards, documentation, and guidelines for data engineering excellence.

Interested students can apply directly at 👉 Maersk Careers 2026

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