Software Engineer (Databricks)

Job Description

Are you our new Data Engineer to join our Consumer & Marketing Technology team in Digital Technology?

We are currently on the lookout for a motivated Data Engineer to help us with design and ingesting of data from external sources. Build and maintain data pipelines that will allow us to do processing and analysis within our Marketing and Engagement domain.

*Please note, no relocation is offered for this position.*

• Build, optimize and manage automated data pipelines that ingest marketing and survey data, transforming it to silver-layer quality for both analytics dashboards and machine learning models

• Design and implement robust data transformation processes that handle complex, multi-source data while ensuring ML model requirements and business analytics needs are met

• Develop and maintain scalable data infrastructure and deployment processes that support data processing workflows

• Architect secure, scalable data solutions in our Databricks and AWS solutions to handle growing data volumes from marketing platforms and survey systems

• Partner closely with data scientists, business stakeholders, and external partners to translate data requirements into engineered solutions that cover company-critical data requirements

• Drive data engineering best practices including schema design, data modeling, and governance standards across the marketing and engagement data domain

• Implement comprehensive data quality frameworks, monitoring, and documentation to ensure consistency and reliability across all data products

• Research and evaluate emerging data technologies and tools to continuously improve our data engineering capabilities and pipeline performance

• Foster a collaborative data culture by leading multi-functional initiatives, mentoring team members, and sharing knowledge across the organization

The main focus for our team is to build and maintain a robust and scalable data pipelines that allows for efficient ingestion, processing and analysis of data from external sources. The role as a data engineer is critical to ensure data is accessible, useable and of high quality for analysts and scientists to perform further analysis optimally.

• Extensive experience in data engineering with a focus on building production-grade data pipelines and transformation workflows

• Solid experience with data modeling, schema design, and building scalable data solutions for both analytics and ML use cases

• Proficiency in AWS and Databricks platforms, with hands-on experience deploying data infrastructure using infrastructure as code

• Deep understanding of data modeling concepts and building scalable data marts

• Strong programming skills, preferable in Python, R or similar languages

• Expert-level skills in SQL, Python, and PySpark for data processing and pipeline development

• Experience with DevOps practices including CI/CD pipelines, GitHub Actions, and deployment automation (Databricks Asset Bundles preferred)

• Hands-on experience implementing data contracts, including data manifests and usage agreements to ensure data governance

• Proficiency with data quality tools and implementing data quality monitoring frameworks

• Experience with a broad range of external data sources and third-party integrations, with an understanding of data quality challenges in multi-source environments

• Solid understanding of data governance, security standards, and working with data requirements

• Strong analytical thinking and problem-solving abilities to tackle complex data engineering challenges

Advanced English both written and verbal would be ideal as we are an internationally gathered team.

"Bring your tech talent and people passion into play and become part of a big IT community and get the chance to spar with other specialists that share interest!"

#LI-JB1

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 you're interested in this role we encourage you to apply as soon as possible.

What’s 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 you'll 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, you'll be rewarded through our bonus scheme.

Workplace - When you join the team you'll 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 seeks to 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 Children’s 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 Children’s Rights.

Just imagine building your dream career.

Then make it real.

Join the LEGO® team today.