Senior Data Engineer at Hapag-Lloyd

May no longer be active — verify on the employer site

At a glance

Company
Hapag-Lloyd
Location
Poland
Work arrangement
On-site
Employment type
Full-time
Experience
5–10 years
Working hours
40 hours
Visa sponsorship
Offered, according to the listing
Posted
Added to The Stack

✨ The Stack take on this Hapag-Lloyd job

  • 🏢 Hapag-Lloyd has 4 jobs here, 3 with visa sponsorship see all
  • 🛂 Visa: EU Blue Card. Minimum salary: PLN 160,264.08 a year (150% of the 2025 average salary) guide
  • 💡 No salary shown. Ask Hapag-Lloyd if it is above the minimum.

Updated 2026-11-03, from our data and official sources.

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About the role

Responsibilities:
- Design, build and maintain reliable, scalable ETL/data pipelines to support global shipping and supply-chain analytics.
- Implement data models, ingestion frameworks and transformation logic to make data usable for analytics and products.
- Ensure data quality, lineage and observability; instrument pipelines with monitoring and alerting.
- Collaborate with product owners, analysts and engineers to translate business needs into technical solutions.
- Operate and optimise cloud data infrastructure and tooling; contribute to CI/CD, automation and secure deployments.
- Mentor junior engineers, promote best practices and help shape architecture decisions in the Knowledge Center.

Requirements:
- Several years of hands-on data engineering experience building production pipelines and data platforms.
- Strong programming skills (Python, Scala or Java), SQL and experience with relational and columnar stores.
- Familiarity with cloud platforms, containerisation and orchestration, and big-data frameworks (Spark, Kafka or similar).
- Experience with data modelling, ETL frameworks, CI/CD and infrastructure-as-code practices.
- Good understanding of data quality, observability and performance optimisation techniques.
- Able to work in Agile teams, communicate clearly in English and collaborate with cross-functional stakeholders.
- Willingness to work in Gdańsk (relocation support available) and participate in Knowledge Center goals.

Responsibilities

The Senior Data Engineer will develop innovative digital solutions to support the company's global shipping operations. They will work within the Knowledge Center in Gdansk to drive agility and business-centric data strategies.

Requirements

The role requires a professional with experience in data engineering and a focus on digital innovation. Candidates should be capable of working in an agile environment to support complex supply chain data needs.

Key skills

  • Data Engineering — in 118 other listings on The Stack
  • Digital Solutions — in 1 other listing on The Stack
  • Agile Methodologies — in 129 other listings on The Stack
  • Software Development — in 69 other listings on The Stack
  • Infrastructure Management — in 8 other listings on The Stack
  • System Architecture — in 171 other listings on The Stack
  • Data Analysis — in 270 other listings on The Stack
  • Cloud Computing — in 45 other listings on The Stack
  • Database Management
  • Business Centricity

Relocation terms mentioned in this listing

  • relocation support

Quoted from the listing's text; confirm the details with Hapag-Lloyd.

On The Stack (as of 2026-11-03)

Frequently asked questions about Hapag-Lloyd

Is this Senior Data Engineer role still open?

It was posted on 2026-08-13. Listings more than 30 days old may no longer be active, so check Hapag-Lloyd's site before applying.

Does Hapag-Lloyd offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Hapag-Lloyd's site.

Where is this role located?

The listing gives the location as Poland. It is marked on-site.

What skills does this role ask for?

The listing names: Data Engineering, Digital Solutions, Agile Methodologies, Software Development, Infrastructure Management, System Architecture, Data Analysis, Cloud Computing, Database Management, Business Centricity.

All roles at Hapag-Lloyd

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