At a Glance
- Tasks: Join our team to maintain and scale data infrastructure for analytics.
- Company: Fast-growing luxury furniture brand focused on comfort and sustainability.
- Benefits: Competitive salary, collaborative environment, and opportunities for growth.
- Other info: Work in a dynamic office just 40 mins from London, embracing innovation.
- Why this job: Make a real impact by driving data initiatives across the company.
- Qualifications: 3+ years as a data engineer with strong communication skills.
The predicted salary is between 50000 - 60000 £ per year.
Maker&Son is one of the world’s fastest growing luxury furniture businesses. We design and make the world's most comfortable chairs, sofas and beds, entirely from natural materials. We’re an ambitious, young company, with a vision to become a global brand, changing the face of luxury home retail.
We are looking for a highly motivated individual to join our team as a Data Engineer. We are based in Balcombe [40 mins from London by train, 20 minutes from Brighton] and we will need you to be based in our offices at least 3 days a week. You will report directly to the Head of Data.
As a part of the Technology Team your core responsibility will be to help maintain and scale our infrastructure for analytics as our data volume and needs continue to grow at a rapid pace. This is a high impact role, where you will be driving initiatives affecting teams and decisions across the company and setting standards for all our data stakeholders. You’ll be a great fit if you thrive when given ownership, as you would be the key decision maker in the realm of architecture and implementation.
Responsibilities
- Understand our data sources, ETL logic, and data schemas and help craft tools for managing the full data lifecycle
- Play a key role in building the next generation of our data ingestion pipeline and data warehouse
- Run ad hoc analysis of our data to answer questions and help prototype solutions
- Support and optimise existing ETL pipelines
- Support technical and business stakeholders by providing key reports and supporting the BI team to become fully self-service
- Own problems through to completion both individually and as part of a data team
- Support digital product teams by performing query analysis and optimisation
Qualifications
- 3+ years experience as a data engineer
- Ability to own data problems and help to shape the solution for business challenges
- Good communication and collaboration skills; comfortable discussing projects with anyone from end users up to the executive company leadership
- Fluency with a programming language - we use NodeJS and Python but looking to use Golang
- Ability to write and optimise complex SQL statements
- Familiarity with ETL pipeline tools such as Airflow or AWS Glue
- Familiarity with data visualisation and reporting tools, like Tableau, Google Data Studio, Looker
- Experience working in a cloud-based software development environment, preferably with AWS or GCP
- Familiarity with no-SQL databases such as ElasticSearch, DynamoDB, or MongoDB
Our Brand Values
- Authenticity - we love what we do, we do what we say we do, we are what we say we are.
- Awareness - we are aware of the needs of our customers, we enjoy the continual process of understanding them and we go out of our way to ensure that we show them that we have this understanding.
- Respectfulness - we are respectful of the gift that we have been given to create this brand in the first place. We are respectful of and cherish the people that work with us as employees and suppliers. We are respectful and very grateful for the customers that engage with us. We are deeply respectful of the environment and all the resources we use to create the products that we do. We respect that customers have many choices and that we constantly need to be delivering to the best of our abilities in order to meet their needs.
- Comfort - we create extraordinarily comfortable sofas and chairs. This level of physical comfort can often enable the individual that sits in them to experience a level of mental comfort, a peaceful mindfulness that they may otherwise find difficult to access. The element of comfort is further enhanced by the fact that the furniture is made with natural materials in a sustainable way, by highly skilled people who love what they do and will last a lifetime.
- Connection - we create content that connects and emotionally engages with people by conveying the main benefits of what our sofas and chairs provide, namely physical and mental comfort.
- Trust - we build trust through every part of what we do. Trust in the benefits of what our sofas and chairs bring, trust in the product, trust in the service, trust in the authenticity, trust in the brand.
- Resilience - we design and build products that last. We are designing and building business processes, teams and supplier networks to sustain our growth that, like our products, are robust enough to manage all the experiences required of them. We welcome employees and suppliers that have an inherent understanding of the need for these qualities in their work.
Data Engineer in Balcombe employer: Maker&Son
Contact Detail:
Maker&Son Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Balcombe
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, whether it's a GitHub repo or a personal website. This gives us a chance to see your work in action and understand how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and scenarios. Think about how you would approach challenges related to ETL processes or data pipelines. We want to see your thought process and problem-solving skills!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you're genuinely interested in being part of our team at Maker&Son.
We think you need these skills to ace Data Engineer in Balcombe
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data engineering shine through! We want to see how much you love working with data and solving problems. Share specific examples of projects you've worked on that showcase your skills and passion.
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role at Maker&Son. Highlight relevant experience, especially with ETL tools, SQL, and any programming languages like NodeJS or Python. We appreciate when candidates take the time to align their skills with our needs!
Be Clear and Concise: Keep your application clear and to the point. Use straightforward language and avoid jargon unless it's necessary. We value good communication skills, so make sure your writing reflects that. Remember, clarity is key!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures it gets into the right hands. Plus, it shows you're keen on joining our team at Maker&Son!
How to prepare for a job interview at Maker&Son
✨Know Your Data Inside Out
Before the interview, make sure you understand the data sources and ETL logic relevant to the role. Brush up on your knowledge of data schemas and be ready to discuss how you would manage the full data lifecycle at Maker&Son.
✨Showcase Your Technical Skills
Be prepared to demonstrate your fluency in programming languages like NodeJS and Python. Have examples ready that showcase your ability to write and optimise complex SQL statements, as well as your experience with ETL tools like Airflow or AWS Glue.
✨Communicate Effectively
Since this role involves collaboration with various stakeholders, practice explaining technical concepts in simple terms. Be ready to discuss how you've communicated project details to both technical teams and executive leadership in the past.
✨Emphasise Ownership and Problem-Solving
Highlight your ability to take ownership of data problems and drive solutions. Prepare examples of past projects where you’ve been the key decision-maker, showcasing your initiative and resilience in overcoming challenges.