Engineer, Demand Forecasting

Are you ready to take your engineering and architecture experience to the next level?

We are looking for a Software Engineer to join our Demand Forecasting product team. The successful candidate will be responsible for designing and building scalable and robust data pipelines and automate ML models and algorithms in a multi-functional Data Science Engineering product team. You can either be based in London or our headquarter Billund.

Come join us!

Core Responsibilities

• Contribute to the software design, integration architecture, and implementation of the demand forecasting service.
• Build and automate robust and scalable data ETL and ML model management pipelines.
• Build RESTful data APIs to integrate with downstream consumers.
• Serve as a point of contact for Data Scientists and Data Analysts and help them in adopting a modern, CI/CD driven development process.

Play your part in our team succeeding

You will be part of the Data Science Products (DSP) organisation, which is the home of 50+ data science and engineering colleagues, distributed across our Denmark and UK offices. DSP is responsible for incubating, developing, and rolling out a broad portfolio of data science, AI and ML solutions across different business areas and for defining and driving data science and data engineering excellence.

Besides working in a multi-functional, agile product team, you will have an opportunity to allocate some of your time to proof-of-concepts, greenfield and incubation projects outside the main scope of your work.

Do you have what it takes?

You are a Software Engineer with a proven track record of working on data-centric applications. You have at least few years of engineering experience building data processing pipelines using modern tools and frameworks. What distinguishes you is your passion for architecture and engineering best practices, such as automation, test driven development, and CI/CD. You have:

• Proficiency in Python 3 and/or Scala and are familiar with the core language ecosystem(s) and API (REST/GraphQL) packages.
• Experience with Apache Spark or other data processing frameworks.
• Solid background in relational data models and SQL.
• Good understanding in setting up CI/CD pipelines in either GitLab or GitHub.
• Willing to travel about two weeks per year (3-4 trips).

Nice to have:

• Experience working with Databricks.
• Experience with ML model training and evaluation.
• Domain knowledge / prior experience in demand forecasting / demand planning.

What’s in it for you?

Here are some of what to 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.
• Wellness – We want you to be your best self, so you'll have access to the Headspace App and lots of wellbeing initiatives and programmes run by local teams where you are based.
• 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.
• Your workplace – When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. The hiring team will discuss the principles of our hybrid work model 'Best of Both', role eligibility and frequency 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 proud to be an equal opportunity employer. We are committed to equal employment opportunity and equal pay regardless of e.g. race, colour, religion, sex, national origin, sexual orientation, disability or gender identity.

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.

We are proud supporters of Women in Data®.  Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.