At a Glance
- Tasks: Transform and enrich web data to drive e-commerce insights and decisions.
- Company: Join LEGO, a global leader in creativity and play, committed to children's rights.
- Benefits: Enjoy flexible work options, generous discounts, and enhanced wellbeing resources.
- Why this job: Be part of a pioneering team driving digital transformation in retail with impactful data solutions.
- Qualifications: Strong SQL/Python skills and experience in data engineering or analytics required.
- Other info: Fluency in English and occasional travel needed; hybrid work policy applies.
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 web activity, designing and developing self-serve gold layers for use across e-Commerce, the broader A&I organisation, LEGO Retail teams & other data consumers (personalisation, digital consumer engagement).
- Develop self-serve dashboards regarding .com and web behaviour 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 Universal Event Collector, Compliant Tracking and other web tracking based 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 crucial as we further invest in our digitisation 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?
We’re looking for candidates with a background in Mathematics, Computer Science, Business Intelligence, Analytics, or hands-on experience in Data Engineering or similar roles. In addition, you have:
- Strong SQL and/or Python skills, with experience handling large structured and unstructured datasets.
- Experience building and maintaining complex ETL pipelines, ideally including web tracking data (e.g. clickstream or tag-based events).
- Retail or e-commerce experience, especially with web analytics or customer journey tracking.
- You’re able to communicate complex technical ideas in a clear, accessible way.
- You work with focus and flexibility, take initiative, and contribute actively to team efforts.
- You support others when needed and approach challenges with a thoughtful, result-oriented approach.
- Fluency in English and up to 10 days of annual travel required.
Nice to have:
- Experience with CI/CD pipelines and tools like Databricks (including Asset Bundles) is a plus.
- You are comfortable collaborating across cultures and time zones.
- Familiarity with consumer retail or direct-to-consumer e-commerce, basic knowledge of Power BI or similar tools, and an understanding of Agile ways of working are also valuable.
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.
The LEGO Group is highly committed to equal employment opportunity and equal pay and seeks to encourage applicants from all backgrounds (e.g. 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, Web Tracking employer: LEGO Gruppe
Contact Detail:
LEGO Gruppe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer, Web Tracking
✨Tip Number 1
Familiarise yourself with LEGO's data strategy and how it aligns with their retail operations. Understanding their approach to data-driven decision-making will help you articulate how your skills can contribute to their goals during interviews.
✨Tip Number 2
Network with current or former employees in similar roles at LEGO. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable when preparing for discussions.
✨Tip Number 3
Showcase your experience with web tracking data and ETL pipelines in your conversations. Be ready to discuss specific projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.
✨Tip Number 4
Prepare to discuss how you can enhance data literacy within the team. Think of examples where you've trained others or created documentation that improved understanding of data products, as this aligns with LEGO's focus on enabling self-service data solutions.
We think you need these skills to ace Senior Data Engineer, Web Tracking
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with SQL and Python. Emphasise any work you've done with ETL pipelines and web tracking data, 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 and enrich data, aligning with LEGO's goals.
Showcase Your Technical Skills: Clearly outline your technical skills in SQL, Python, and any experience with tools like Databricks. Provide examples of how you've used these skills to solve problems or improve processes in previous roles.
Highlight Collaboration Experience: Since the role involves working closely with various teams, include examples of past collaborations. Discuss how you’ve partnered with others to achieve common goals, especially in data-driven projects.
How to prepare for a job interview at LEGO Gruppe
✨Showcase Your Technical Skills
Be prepared to discuss your strong SQL and Python skills in detail. Bring examples of complex ETL pipelines you've built, especially those involving web tracking data, to demonstrate your hands-on experience.
✨Understand the Business Context
Familiarise yourself with LEGO's retail and e-commerce landscape. Be ready to explain how your technical expertise can directly contribute to enhancing data-driven decision-making within the organisation.
✨Communicate Clearly
Practice explaining complex technical concepts in a straightforward manner. This role requires collaboration with various stakeholders, so being able to communicate effectively is crucial.
✨Demonstrate Your Curiosity
Show your natural curiosity about data and analytics. Discuss any personal projects or experiences where you explored data beyond your job requirements, highlighting your passion for continuous learning and improvement.