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Maersk

Senior Data Engineer

Location:  India, Bengaluru, 560064 | India
Location flexibility:  1 office day / week, 2 office days / week
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Job Description

Who are we:

At Maersk, we are redefining global logistics through data, platform engineering, and AI-driven innovation. As part of this journey, we are building scalable platforms and intelligent systems that enable faster decision-making, operational efficiency, and seamless integration across the enterprise.

The Position:

As a Senior Data Engineer, Data & AI, you will design, build, and operate scalable data products, pipelines, and analytical foundations that power critical business capabilities and AI-enabled decision-making.

You will work across data engineering, analytics enablement, visualization, and AI/ML engineering, contributing to reliable data pipelines, governed datasets, orchestration frameworks, and data products that enable self-service analytics and intelligent automation across the enterprise. The role requires a hands-on problem solver who can partner with business stakeholders and product teams to understand requirements, build quick prototypes where useful, and evolve validated solutions into production-ready data & AI products.

Key Responsibilities:

Data Engineering, Pipelines & Orchestration

  • Design, build, and optimize scalable batch and streaming data pipelines using modern data engineering patterns

  • Develop robust orchestration workflows for dependable data ingestion, transformation, quality checks, and downstream consumption

  • Apply strong SQL, Python, and PySpark skills to transform complex data into reliable, reusable, and performant data products

SQL, Data Modelling & Analytics Enablement

  • Create well-modelled, trusted datasets that support reporting, visualization, advanced analytics, and AI/ML use cases

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  • Enable self-service data access and governed consumption by building clear data contracts, documentation, and quality controls

  • Contribute to integrated data foundations that provide consistent, reusable data across business domains and platforms

  • Visualization, BI & Data Product Delivery

    • Partner with analytics and product teams to deliver high-quality datasets, dashboards, and visualization-ready semantic layers

    • Translate business requirements into scalable data models and consumption patterns for operational and executive insights

    • Support adoption of data products by ensuring performance, usability, reliability, and clear lineage from source to insight

    AI/ML Engineering Enablement

    • Build data pipelines and feature-ready datasets that support machine learning, AI, and GenAI use cases

    • Collaborate with data scientists and AI engineers to productionize models, automate data refreshes, and improve repeatability

    • Apply engineering practices for monitoring, testing, versioning, and operationalizing data and ML workflows

    Cross-Functional Delivery & Architecture

    • Work with Product, Analytics, Platform, Data Science, AI teams, and business stakeholders to clarify requirements and deliver pragmatic end-to-end data solutions

    • Translate business requirements, user feedback, and problem statements into data models, working prototypes, technical designs, and implementation plans

    • Contribute to data architecture discussions and ensure alignment with enterprise standards, security, and governance expectations

    • Support integrations across cloud, and enterprise data ecosystems

    Operational Excellence

    • Ensure data solutions are reliable, scalable, performant, secure, and production-ready

    • Monitor, troubleshoot, and continuously improve pipeline performance, data quality, and platform stability

    • Drive automation, observability, and supportability across data, analytics, and AI/ML solutions

    Our Ideal Candidate:

    • Strong data engineering experience with hands-on delivery of scalable data pipelines, data products, and analytics foundations

    • Advanced SQL skills with the ability to design performant queries, data models, and transformation logic

    • Hands-on knowledge of Python and PySpark for large-scale data processing and automation

    • Curious, hands-on problem solver who can engage with business stakeholders to understand the real requirement and deliver practical outcomes

    • Comfortable moving between rapid prototyping and production-grade data engineering based on business need

    • Experience enabling visualization, BI, AI/ML, or advanced analytics through trusted and well-governed data foundations

    • Familiarity with cloud data platforms, orchestration tools, and distributed data processing patterns

    • Strong ownership mindset and ability to work effectively across teams

    Required Skills/Experience:

    • MS or BS in a Computer Science or a science/engineering discipline.

    • More than 6 years of experience in data engineering, analytics engineering, or data platform delivery

    • Strong proficiency in SQL, Python, and PySpark is required

    • Experience designing and operating ETL/ELT pipelines, orchestration workflows, data quality checks, and production data products

    • Experience with cloud data platforms, distributed processing, data modelling, and analytics/BI consumption patterns

    • Exposure to AI/ML engineering practices, feature pipelines, model productionization, LLM-based applications, or agentic AI patterns will be considered an advantage

    • Experience with DevOps and DataOps practices, including CI/CD, monitoring, observability, and incident support

    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.

    Working at Maersk

    1 office day / week 2 office days / week

    A little flex time

    Company employees:

    100,000+

    Gender diversity (m:f):

    65:35

    Hiring in countries

    Algeria

    Australia

    Bangladesh

    Belgium

    Brazil

    Cambodia

    Canada

    Chile

    China

    Colombia

    Costa Rica

    Croatia

    Czechia

    Denmark

    Ecuador

    Egypt

    Office Locations

    Company benefits

    Open to part time work for some roles
    Open to compressed hours
    In house training
    Health insurance
    Dental coverage
    Mental health platform access
    Compassionate leave
    Life assurance
    Annual bonus
    Referral bonus
    Employee assistance programme
    Employee discounts
    Adoption leave
    Private GP service
    Buy or sell annual leave
    Religious celebration leave
    401K
    Annual pay rises
    Enhanced pension match/contribution
    Learning platform
    Mentoring
    Enhanced maternity leave
    Shared parental leave
    Women’s health leave
    L&D budget
    Professional subscriptions
    Lunch and learns

    Awards & Accreditations

    3rd - Best Workplace Culture

    3rd - Best Workplace Culture

    Flexa awards 2026
    Best Workplace Benefits

    Top 10 - Best Workplace Benefits

    Flexa awards 2026

    France

    Germany

    Greece

    Hong Kong

    Hungary

    India

    Indonesia

    Ireland

    Israel

    Italy

    Japan

    Kenya

    Liberia

    Malaysia

    Mexico

    Morocco

    Myanmar (Burma)

    Namibia

    Netherlands

    New Zealand

    Nigeria

    Norway

    Panama

    Peru

    Philippines

    Poland

    Portugal

    Romania

    Saudi Arabia

    Serbia

    Singapore

    Slovakia

    Slovenia

    South Africa

    South Korea

    Spain

    Sri Lanka

    Sweden

    Switzerland

    Taiwan

    Thailand

    Türkiye

    Ukraine

    United Arab Emirates

    United Kingdom

    United States

    Vietnam