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Data Engineer

Maersk

Data Engineer

Maersk

India, Bengaluru, 560064

·

On-site

·

Full-time

·

5d ago

Data Engineer

Are you an engineer comfortable working with a wide range of data technologies and platforms? Do you understand the day-to-day obstacles to effective data science and software development work? This is an opportunity to join Maersk's Global data analytics as a data engineer and drive digital transformation at a globally respected, industry leading brand

Maersk, the world's largest shipping company, is transforming into an industrial digital giant that enables global trade with its land, sea and port assets. We are the digital and software development organization that builds products in the areas of predictive science (forecasting, customer and market analytics), optimization and IoT.

As a Data Engineer you will design, build, and scale robust data solutions that power global logistics, supply chain visibility, and operational intelligence. You will play a key role in building cloud-native data platforms, enabling advanced analytics, and ensuring high-quality, reliable, and secure data pipelines across enterprise systems.
You will collaborate closely with product managers, data scientists, analysts, and cross-functional engineering teams to deliver scalable and resilient data products that drive business impact.

Key Responsibilities Data Engineering & Architecture:

  • Design, develop, and maintain scalable batch and real-time data pipelines.
  • Build and optimize data ingestion frameworks integrating multiple internal and external data sources.
  • Architect and implement cloud-native data platforms using modern data stack technologies.
  • Ensure data quality, lineage, observability, and governance best practices.

Platform & Performance

  • Optimize data models and pipelines for performance, scalability, and cost efficiency.
  • Implement CI/CD pipelines and infrastructure-as-code for data solutions.
  • Improve system reliability through monitoring, logging, and automated alerting.
  • Drive data platform standardization and reusable frameworks.

Collaboration & Stakeholder Engagement

  • Partner with business stakeholders to translate requirements into technical data solutions.
  • Work closely with data scientists and analytics teams to enable advanced reporting and ML use cases.
  • Provide technical mentorship to junior and mid-level engineers.
  • Contribute to design reviews and architectural discussions.

Governance, Security & Compliance

  • Ensure adherence to enterprise data governance, security, and compliance policies.
  • Implement role-based access control and secure data handling practices.
  • Support audit readiness and regulatory requirements where applicable.

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
  • 5-8 years of experience in data engineering or related software engineering roles.
  • Strong proficiency in Python, SQL, and Spark.
  • Hands-on experience with cloud platforms (Azure / AWS / GCP).
  • Experience with data orchestration tools (Airflow, ADF, or similar).
  • Expertise in building data warehouses/lakehouses (Snowflake, Databricks, BigQuery, etc.).
  • Strong understanding of data modeling (star schema, dimensional modeling).
  • Experience working with distributed systems and large-scale datasets.

Preferred Qualifications

  • Experience in logistics, supply chain, or enterprise-scale environments.
  • Exposure to streaming technologies (Kafka, Event Hubs).
  • Knowledge of DevOps practices and Infrastructure-as-Code (Terraform, ARM, CloudFormation).
  • Understanding of data governance tools and frameworks.
  • Experience supporting AI/ML data pipelines.

Behavioral Competencies

  • Strong problem-solving and analytical mindset.
  • Ability to work in a fast-paced, global environment.
  • Excellent communication and stakeholder management skills.
  • Ownership mindset with a focus on delivering business value.
  • Continuous learning and innovation-driven approach.

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 accommodationrequests@maersk.com.

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About Maersk

Maersk

Maersk

Public

A.P. Møller – Mærsk A/S, usually known simply as Maersk, is a Danish shipping and logistics company founded in 1904 by Arnold Peter Møller and his father Peter Mærsk Møller.

10,001+

Employees

Copenhagen

Headquarters

$30B

Valuation

Reviews

3.5

10 reviews

Work Life Balance

3.8

Compensation

3.2

Culture

3.5

Career

2.8

Management

3.3

68%

Recommend to a Friend

Pros

Great place to learn and grow

Good work-life balance and flexibility

Amazing benefits and opportunities

Cons

Limited career advancement and growth

Management and micromanagement issues

Frequent company restructuring

Salary Ranges

38 data points

Mid/L4

Mid/L4 · Business Intelligence Engineer

1 reports

$184,600

total / year

Base

$142,000

Stock

-

Bonus

-

$184,600

$184,600

Interview Experience

44 interviews

Difficulty

3.4

/ 5

Duration

14-28 weeks

Offer Rate

34%

Experience

Positive 63%

Neutral 25%

Negative 12%

Interview Process

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

Common Questions

Technical skills

Past experience

Team collaboration

Problem solving