Lead Engineer, Data Engineering & Migration

LEGO

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profile Job Location:

Copenhagen - Denmark

profile Monthly Salary: Not Disclosed
Posted on: 9 hours ago
Vacancies: 1 Vacancy

Job Summary

Job Description

Are you motivated by building high-quality data pipelines and enabling large-scale data migration into modern platform architecture

Do you want to help shape how the LEGO Group delivers trusted performant and future-proof data foundations that power analytics AI and operational excellence

We are looking for a Lead Engineer - Data Engineering & Migration to join our Data Platform team and play a key role in designing maturing and operating the technical backbone for data ingestion transformation and migration across the LEGO Group. You will be based out of our Billund Campus or our Copenhagen office and act as both a technical expert and strategic driver ensuring the successful migration of legacy workloads into our modern Data Platform while enabling scalable engineering practices for the future!

Please note this role does not have relocation budget and you will need to work out of either Billund campus or Copenhagen Hub in Denmark.

Core Responsibilities

As a Lead Engineer Data Engineering & Migration you will combine deep technical expertise with strong collaboration skills to ensure our data products and migration initiatives are delivered with quality performance and reliability. Partnering with Product teams and business stakeholders you will help shape the technical direction of our migration journey ensuring solutions are efficient maintainable and aligned with platform strategy. You will work closely with other lead engineers to ensure consistency across shared capabilities standards and architectural patterns.

Solution Architecture & Engineering

  • Design build and evolve data ingestion and transformation pipelines using modern data engineering technologies such as PySpark SQL Delta Lake workflow orchestration and distributed compute.

  • Define standards for performant resilient and maintainable data pipelines ensuring engineering teams follow best practices across file-based datasets modeling patterns and compute optimization.

  • Shape the technical approach for migrating legacy workloads into the modern Data Platform including patterns for refactoring re-platforming consolidation and quality assurance.

  • Partner with engineers to guide implementation details and ensure solutions are fit for purpose cost-effective and aligned with platform architecture.

  • Support teams in adopting modern data engineering tooling design patterns and operational guardrails that simplify and standardize the migration process.

Collaboration & Delivery

  • Work closely with Product Managers Program Managers and business stakeholders to translate migration requirements into actionable technical direction.

  • Support the product team in defining the technical roadmap for data ingestion modeling and migration ensuring alignment with the broader Data Platform strategy.

  • Present technical decisions trade-offs and solutions clearly to both technical and non-technical stakeholders.

  • Help drive planning and prioritization across migration initiatives by assessing complexity effort and resource needs.

  • Maintain a high-level understanding of both the modern Data Platform and the legacy landscape ensuring coherence between new solutions and existing dependencies.

  • Engage across teams to ensure consistency in technical decisions and alignment in areas such as data structures performance requirements and data quality expectations.

Leadership & Mentoring

  • Act as a technical role model in the Data Engineering & Migration space setting high standards for code quality performance and sustainable delivery.

  • Mentor engineers to strengthen their skills in data modeling distributed compute and modern data engineering patterns.

  • Foster an engineering culture centered on responsibility pragmatism and continuous improvement.

  • Contribute to Architecture Decision Records and drive alignment in how we build ingestion transformation and migration capabilities.

  • Encourage a collaborative environment where teams challenge assumptions make informed trade-offs and learn from each other.

Strategic Contribution

  • Shape the long-term strategy for data engineering and migration within the Data Platform supporting the shift towards an engineering-led scalable delivery model.

  • Collaborate with other Lead Engineers to ensure cohesive architectural principles and shared capabilities across the platform.

  • Help define and mature the frameworks patterns and reusable components that will accelerate future migration efforts.

  • Contribute to building a trusted high-performing data foundation that supports analytics data science and operational use cases across The LEGO Group.

Play your part in our team succeeding

The Data Office builds and runs The LEGO Groups central Data Platform and acts as a Centre of Excellence for data engineering governance machine learning and AI. By joining us you will help shape our modern data foundation and ensure we migrate from legacy solutions in a way that is structured scalable and future-ready. Your expertise will help the company transition confidently while unlocking new capabilities for data-driven decision making.

Do you have what it takes

You bring a background in Data Engineering Computer Science Software Engineering or similar with hands-on experience designing and building modern data pipelines and migrating legacy workloads into new architectures. You enjoy solving complex data challenges collaborating across teams and enabling others to implement robust engineering practices.

Additionally you have:

  • Proven experience with distributed data processing (e.g. PySpark SQL Delta Lake).

  • Strong understanding of data structures modeling approaches and best practices for scalable data engineering.

  • Practical experience building performant file-based datasets and optimizing compute performance in modern data platforms.

  • Experience contributing to or leading migration initiatives including refactoring legacy pipelines or onboarding datasets into modern architectures.

  • Excellent communication skills able to bridge conversations between engineers product teams and business stakeholders.

  • Proficient with orchestration tools workflow management CI/CD practices and modern data platform capabilities (e.g. Unity Catalog lineage metadata).

  • Passion for enabling best practices engineering excellence and continuous improvement.

  • Occasional travel to other LEGO Group offices.

#LI-BL1

Applications are reviewed on an ongoing basis. However please note we do amend or withdraw our jobs and reserve the right to do so at any time including prior to any advertised closing date. So if youre interested in this role we encourage you to apply as soon as possible.

Whats in it for you

Here is what you can expect:

Family Care Leave - We offer enhanced paid leave options for those important times.

Insurances All colleagues are covered by our life and disability insurance which provides protection and peace of mind.

Wellbeing - We want our people to feel well and thrive. We offer resources and benefits to nurture physical and mental wellbeing along with opportunities to build community and inspire creativity.

Colleague Discount We know youll love to build so from day 1 you will qualify for our generous colleague discount.

Bonus - We do our best work to succeed together. When goals are reached and if eligible youll be rewarded through our bonus scheme.

Workplace - When you join the team youll be assigned a primary workplace location i.e. one of our Offices stores or factories. Our hybrid work policy means an average of 3 days per week in the office. The hiring team will discuss the policy and role eligibility with you during the recruitment process.

Children are our role models. Their curiosity creativity and imagination inspire everything we do. We strive to create a diverse dynamic and inclusive culture of play at the LEGO Group where everyone feels safe valued and they belong.

The LEGO Group is highly committed to equal employment opportunity and equal pay and seeksto encourage applicants from all backgrounds (eg. sex gender identity or expression race/ethnicity national origin sexual orientation disability age and religion) to apply for roles in our team.

The LEGO Group is fully committed to Childrens Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening as a condition of the offer.

Thank you for sharing our global commitment to Childrens Rights.

Just imagine building your dream career.

Then make it real.

Join the LEGO team today.

Job DescriptionAre you motivated by building high-quality data pipelines and enabling large-scale data migration into modern platform architectureDo you want to help shape how the LEGO Group delivers trusted performant and future-proof data foundations that power analytics AI and operational excelle...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

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