Associate Data Engineer
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Job Summary
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.
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.
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
- Bachelors or Masters degree in Computer Science Data Engineering Information Systems or related field.
Maersk is committed to a diverse and inclusive workplace and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race colour gender sex age religion creed national origin ancestry citizenship marital status sexual orientation physical or mental disability medical condition pregnancy or parental leave veteran status gender identity genetic information or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website apply for a position or to perform a job please contact us by emailing .
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Maersk Line is a Danish international container shipping company and the largest operating subsidiary of the Maersk Group, a Danish business conglomerate. It is the world's largest container shipping company by both fleet size and cargo capacity, serving 374 offices in 116 countries
