Lead Data Engineer

MADE.COM ,
London, Greater London
More Details

Overview

Job Description

Job Title: Lead Data Engineer Department/Group: Analytics Line Manager: Head of Analytics Location: London (Old Street) Contract Type: Full Time, Permanent Travel Required: No Who we are At MADE.COM we believe that everyone should have access to great design. So, weve taken a unique approach to making and selling furniture - no middlemen, no agents or importers and no high street stores. Instead we work directly with designers and manufacturers so we can offer high-end furniture at attractive prices. Its not an easy task it takes a creative and dedicated team to make it happen where everyone has an important part to play. We combine our individual passions and skills to create innovative work thats as exciting and unconventional as the business itself. Its a place where all ideas are listened to, where brainstorming means job titles get left at the door and where a self-starter can really make their mark. What youll be doing We are looking for someone who can take and drive the data engineering capability of the Analytics team. As our Lead Data Engineer, you will be mentoring a team of data engineers who will be participating in different projects within cross-functional teams. Key initiatives will be around making data available through the centralized data warehouse and data lakes to analysts across the business. Technology and innovation are two key factors in our success. Our platform allows us to manufacture in any of over 150 locations, and ship multiple items from one basket seamlessly. Our backend system keeps track of every item of stock, whether its in production, on a boat, or at a delivery hub. This allows us to eliminate dormant stock and produce big ticket items as close to on-demand as possible, allowing us to make over 1500 new products this year alone. As a company we seek a competitive edge; as technologists and craftsmen were no different. Weve embraced event-driven architectures, DDD, and CQRS in order to achieve our technical goals. Were trail-blazers in the Python community, and we contribute back by writing and talking about our findings and open-sourcing our tools. Analytics team supports multiple streams of the business with some exceptionally successful projects from stock ordering forecasting and optimisation to marketing bidding engine optimisation. And we plan to continue investment into areas that activate the value of DATA. We currently use Google Cloud tools primarily for our internal Data Platform such as BigQuery and Cloud Composer. All our code is executed in the Cloud through DAGs which allows the team to built highly scalable data pipelines and deliver business value efficiently. Initial areas of responsibility will include: Data Engineering Data Warehouse: You will participate in design and delivery of the data warehouse for: reporting on different areas of the business, making data available across systems and automation with predictive models Data Pipelines: You will design and develop robust data pipelines that will meet business needs for accessible reliable data. Automation & DataOps: You will evolve the infrastructure to make data integrations more reliable, scalable and transparent. Leadership Mentor the team of data engineers. You will be responsible for the success of other data engineers. Agile delivery. You will bring a wealth of experience of Agile delivery and lead by example. Resource planning. You will be involved in the roadmap and key decisions around the planning and delivery. Requirements What youll need * Demonstrated team lead or management experience * Proven hands-on experience implementing data analytic solutions using code (advanced skills in programming preferred) * Knowledge of the data warehousing frameworks * Experience with large data sets * Ability to initiate and drive analytic projects from Inception to delivery and productions and automate the process with excellent programming skills. To stand out * Knowledge in cloud and engineering platform solutions such as AWS. * Experience in retail, marketing, ecommerce, or digital advertising. * Continuous integration and test automation experience. * Google Analytics Premium and Google BigQuery. Benefits What we offer * Great opportunities to make the role your own and get involved with exciting projects in a fast-paced, creative and fun office environment. * Were proud of our diverse, supportive company and culture. Our very own in-house Culture Club plans a variety of activities from our annual parties, Friday drinks, social events and more. * Temptingly good employee discounts on MADE.COM (30% for you and 15% for your family & friends). * 25 days holiday per year (on top of bank holidays), plus an extra day of holiday for every year served up to a ceiling of 30 days. * We know that flexibility is important. Our Everyday Flex policy enables you to determine your start and finish times, and were open to discussing other flexible working arrangements too. * Free, unlimited access to over 13,000

People also viewed