At a Glance
- Tasks: Transform and enrich data for LEGO Retail e-Commerce, developing self-serve dashboards and collaborating with analytics teams.
- Company: Join the LEGO Group, a global leader in play and creativity, committed to children's rights and wellbeing.
- Benefits: Enjoy flexible work options, generous discounts, wellbeing resources, and enhanced family care leave.
- Why this job: Be part of a pioneering team driving digital transformation and data-driven decisions in a fun, inclusive culture.
- Qualifications: Relevant degree or experience in Data Engineering; strong SQL/Python skills and familiarity with visualisation tools required.
- Other info: This role is based in Billund or London, with opportunities for light travel and collaboration across global teams.
The predicted salary is between 48000 - 84000 £ per year.
Are you interested in being a key contributor in enabling our LEGO Retail organisation to understand its shoppers deeply and expand data transparency to drive data driven decisions that always put the shopper first? Bring your understanding of data platforms together with your retail/ecommerce knowledge and natural curiosity into play in this role to be part of a pioneering data and analytics team bringing digital transformation to life in our commercial areas! This role does not include a relocation budget and can be based in either our Billund campus or London hub.
Core Responsibilities
- Transform, cleanse and enrich data relating to LEGO Retail e-Commerce, designing and developing self-serve gold layers for use across e-Commerce, the broader A&I organisation, LEGO Retail teams & other data consumers (ie personalisation, digital consumer engagement).
- Develop self-serve dashboards regarding .com metrics, and, in partnership with LEGO Retail Commercial Analytics, establish the use of these tools within LEGO Retail and with broader Commercial colleagues to drive data driven decision making.
- Collaborate with analytical colleagues, specifically Trading Optimisation, Data Science and LEGO Retail Commercial Analytics to continually iterate and enrich data products to suit business needs & improve overall data availability for the business.
- Partner with E2E LEGO.com Operations digital product teams to ensure high quality data is collected and published to LEGO Nexus (databricks) to a standard fit for purpose for downstream delivery of data products.
- Enable LEGO Retail specific data understanding and champion data literacy via guidelines, training, drop-in sessions, documentation, and knowledge sharing.
- Partner with the Data Office to ensure platforms, tools & processes meet business needs; acting as inputters, collaborators, testers and/or ambassadors.
- Consistently champion best practices in data product development within A&I, across LEGO Retail and with the broader analytics community, helping ensure data integrity, quality, and scalability of overall LEGO Retail data products on the LEGO Data Platform.
Analytics & Insights Enablement’s key focus is to enable self-service data products for LEGO Retail analysts, data consumers and decision makers; helping shape data-driven actions both for operational optimisation purposes and tactical and strategical decision recommendations. What sets this team apart is the strong data engineering skills paired with the closeness to the business and the analytical stakeholders, meaning products are designed and developed with clear purpose. The key stakeholders of this role will be analysts & strategic decision makers, initially heavily focused in e-Commerce but have potential to expand to be multifunctional in areas such as Marketing, Finance, Operations etc. Additionally this role will be expected to collaborate heavily with Data Producers in Digital Product Teams and colleagues in the Data Office to ensure longer-term strategy for data supporting opportunities within the e-Commerce space. This role is essential as we further invest in our digitization agenda, and our new data strategy, including scaling the LEGO Data Platform to unlock the value from data across the LEGO Group. In order to become truly data-driven, our first party retail and direct to consumer activity is the cornerstone to everything we do. This role will help both enrich our current data landscape and bring new data variables to life, but also enable important data development projects around the business to use LEGO Retail data that will both increase accuracy in the models and speed up insights to action.
Do you have what it takes?
You have a relevant degree (e.g. Mathematics, Computer Science, Business Intelligence, Analytics) or relevant experience in Data Engineering or Data Solutions in eCommerce platforms. You’re confident working with large datasets using SQL and/or Python, and experienced in building robust ETL pipelines to support eCommerce operations. You understand how data flows across digital platforms and can turn raw behavioural or transactional data into actionable insights. Familiarity with Power BI or similar visualisation tools is expected, along with experience working in fast-paced, consumer-facing environments. You’re able to simplify complex technical topics for non-technical teams, work independently, and collaborate effectively. You take initiatives and bring a curious, solution-driven mindset. Fluent in English and open to light travel (up to 10 days/year).
Nice to have:
- Experience with CI/CD pipelines, Databricks, and Databricks Asset Bundles is beneficial.
- You’re comfortable working in cross-cultural environments and collaborating with global teams across time zones.
- A good understanding of consumer retail or direct-to-consumer e-commerce is valuable, along with basic knowledge of Power BI or similar data visualisation tools.
- Familiarity with Agile ways of working is also a plus.
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?
- 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.
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.
Senior Data Engineer, E-Commerce employer: LEGO Gruppe
Contact Detail:
LEGO Gruppe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer, E-Commerce
✨Tip Number 1
Familiarise yourself with LEGO's e-commerce platform and data strategy. Understanding their specific data needs and how they utilise data to drive decisions will give you an edge in discussions during interviews.
✨Tip Number 2
Network with current employees or alumni who work in similar roles at LEGO. They can provide insights into the company culture and expectations, which can help you tailor your approach when applying.
✨Tip Number 3
Showcase your experience with SQL and Python by preparing examples of past projects where you've built ETL pipelines or transformed data for e-commerce applications. Be ready to discuss these in detail during interviews.
✨Tip Number 4
Stay updated on the latest trends in data engineering and e-commerce. Being able to discuss recent developments or innovations in the field can demonstrate your passion and commitment to the role.
We think you need these skills to ace Senior Data Engineer, E-Commerce
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and e-commerce. Focus on your skills with SQL, Python, and any experience with ETL pipelines, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and how it drives decision-making in retail. Mention specific projects or experiences that demonstrate your ability to transform data into actionable insights.
Showcase Your Technical Skills: Be explicit about your technical skills in your application. Include examples of how you've used tools like Power BI or Databricks in previous roles, and how they contributed to successful outcomes.
Highlight Collaboration Experience: Since this role involves working closely with various teams, emphasise your experience in collaborative environments. Share examples of how you've worked with cross-functional teams to achieve common goals.
How to prepare for a job interview at LEGO Gruppe
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and building ETL pipelines. Bring examples of how you've transformed raw data into actionable insights, especially in e-commerce settings.
✨Understand the Business Context
Familiarise yourself with LEGO's retail and e-commerce strategies. Demonstrating an understanding of how data impacts decision-making in these areas will show that you can align your technical skills with business needs.
✨Prepare for Collaboration Questions
Since this role involves working closely with various teams, be ready to discuss your experience in cross-functional collaboration. Share specific examples of how you've worked with non-technical teams to simplify complex data topics.
✨Emphasise Your Curiosity and Initiative
LEGO values a curious and solution-driven mindset. Be prepared to share instances where you've taken the initiative to solve problems or improve processes, particularly in fast-paced environments.