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For Companies At a Glance
- Tasks: Lead the redesign of our data warehouse and develop reliable data flows.
- Company: Join JOOR, a Series D start-up transforming wholesale management for 14,000 brands globally.
- Benefits: Enjoy remote work, competitive salary, private medical coverage, and wellness days.
- Why this job: Be part of a dynamic team driving innovation in the fashion industry with a changemaker CEO.
- Qualifications: 5+ years in data engineering, strong SQL skills, and experience with BigQuery or similar.
- Other info: Collaborate with global teams and gain insights into company performance through all-hands meetings.
The predicted salary is between 43200 - 72000 £ per year.
Senior Data Engineer – UK Remote
Founded in 2010, JOOR now services more than 14,000 brands and over 600,000 buyers across 150 countries, processing an incredible $1.7B in wholesale transaction volume each month. Backed by Macquarie Group, Battery Ventures, Canaan Partners & ITOCHU, JOOR is a Series D start-up that provides the world\’s most recognised brands and retailers with a digital wholesale management platform that transforms the way these businesses work.
With a CEO recently named a Glossy 50 \”Changemaker in the Fashion Industry\” and inducted into Forbes\’ \”50 Over 50\” 2022 class, JOOR is attracting top talent to drive market dominance. With our team of 150+ experts, we maintain an established global presence with employees in key markets in North America, Europe and APAC.
What You\’ll Do:
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Lead the redesign of our BigQuery-based data warehouse for scalability, performance, and usability. The current data warehouse has grown organically, and we need to rethink it to ensure it meets our users’ needs.
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Develop and monitor Airflow DAGs using dbt and Python to ensure timely, reliable data flows. Sync with engineering teams to anticipate data changes coming from our platform. We use the GCP’s managed Airflow environment, and our code is on Github.
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Keep existing pipelines, Airflow, dbt, and ingestion tools (Fivetran, Datastream) running smoothly with minimal downtime. We ingest data from Salesforce and other sources using Fivetran, but most of our data comes from PostgreSQL via Datastream. Some other integrations run through dbt tasks using the source APIs.
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Keep technical docs keep up to date to help others understand the data stack and workflows. We keep everything documented in Confluence.
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Collaborate with Analytics, Product, Marketing, and Engineering teams to understand their data needs and deliver trusted results. We favour async communication, but recognise that sometimes a meeting with a well-defined agenda is needed.
We would LOVE to hear from you:
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5+ years of experience working in data engineering or similar roles.
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Hands-on experience designing and maintaining modern data warehouses, preferably with BigQuery or similar (e.g., Snowflake, Redshift).
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Strong data modelling skills, including experience with dimensional modelling and designing for analytics.
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Solid experience building and maintaining data pipelines using orchestration tools (e.g., Airflow, Prefect, Luigi) and transformation frameworks (e.g., dbt or custom SQL-based workflows).
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Proficiency in Python, especially for data-related scripting and workflow automation.
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Comfort with cloud platforms (e.g., GCP, AWS, or Azure), including data ingestion, storage, and compute tools.
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Strong SQL skills, with an ability to write clean, efficient, and maintainable queries.
What we offer:
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Location: The position is fully remote based within the UK with a small remote stipend
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Competitive base salary
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Private Medical, Dental, & Vision coverage
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Competitive time off policy including half day wellness days and Summer Fridays
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Collaborate with our teams around the world
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Opportunities for growth and development through various internal initiatives
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Transparency into the state of our business via quarterly all-hands meetings, showcasing the company’s performance in relation to revenue and growth
#J-18808-Ljbffr
Senior Data Engineer - UK Remote employer: Clutch Canada
Contact Detail:
Clutch Canada Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - UK Remote
✨Tip Number 1
Familiarise yourself with BigQuery and its features, as this role heavily involves redesigning a BigQuery-based data warehouse. Consider exploring online resources or tutorials that focus on best practices for scalability and performance in BigQuery.
✨Tip Number 2
Brush up on your skills with orchestration tools like Airflow and transformation frameworks such as dbt. Being able to demonstrate your hands-on experience with these tools during discussions can set you apart from other candidates.
✨Tip Number 3
Prepare to discuss your experience with cloud platforms, particularly GCP, as well as your proficiency in Python for data-related tasks. Having specific examples ready will help showcase your expertise and how it aligns with the job requirements.
✨Tip Number 4
Engage with the company’s culture and values by researching JOOR and its impact on the fashion industry. Understanding their mission and recent achievements can help you connect better during interviews and show your genuine interest in the role.
We think you need these skills to ace Senior Data Engineer - UK Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with BigQuery and data pipelines. Use specific examples that demonstrate your skills in designing and maintaining data warehouses.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for JOOR and the role. Mention how your background aligns with their needs, especially your experience with tools like Airflow, dbt, and Python. Show that you understand their business and how you can contribute.
Highlight Collaboration Skills: Since the role involves working with various teams, emphasise your ability to collaborate effectively. Provide examples of past experiences where you successfully worked with cross-functional teams to meet data needs.
Showcase Problem-Solving Abilities: Include instances where you've tackled challenges in data engineering, such as optimising data flows or redesigning data warehouses. This will demonstrate your critical thinking and problem-solving skills, which are essential for the role.
How to prepare for a job interview at Clutch Canada
✨Showcase Your Data Engineering Experience
Make sure to highlight your 5+ years of experience in data engineering. Be prepared to discuss specific projects where you designed and maintained data warehouses, especially if you've worked with BigQuery or similar platforms.
✨Demonstrate Your Technical Skills
Be ready to talk about your proficiency in Python and SQL. Prepare examples of how you've used these skills for data-related scripting, workflow automation, and writing efficient queries.
✨Understand the Company’s Data Needs
Research JOOR's business model and their data requirements. Be prepared to discuss how you can collaborate with different teams like Analytics, Product, and Marketing to deliver trusted results that meet their needs.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you've had to redesign data pipelines or troubleshoot issues with tools like Airflow or dbt, and be ready to explain your thought process.
