At a Glance
- Tasks: Design and implement scalable data models and analytics solutions.
- Company: Join Checkout, a leading tech company focused on data-driven insights.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make a real impact by shaping product evolution through data analytics.
- Qualifications: Experience in data engineering, SQL, and cloud technologies required.
The predicted salary is between 63000 - 77000 £ per year.
Job Description
As a Data Analytics Engineer at Checkout you will be responsible for enabling key insights on how products are performing and establishing a single source of truth for North Star and tracking metrics, working closely with product managers and product data scientists to shape the product’s evolution at Checkout.
You’ll have the opportunity to build new data products and introduce step changes in how we view analytics for these critical areas, with end‑to‑end ownership of multiple data products from design to implementation to operationalisation.
- How you’ll make an impact
- Design and implement high‑performance, reusable, and scalable data models for our data warehouse using dbt and Snowflake.
- Design and implement Looker structures (explores, views, etc.) that enable users across the organization to self‑serve analytics.
- Work closely with data analysts and business teams to understand business requirements and provide data ready for analysis and reporting.
- Continuously discover, transform, test, deploy and document data sources and data models.
- Apply, help define, and champion data warehouse governance: data quality, testing, documentation, coding best practices, and peer reviews.
- Take initiative to improve and optimise analytics engineering workflows and platforms.
- Key Requirements
- Proven delivery experience as a data, business intelligence or analytics engineer.
- Hands‑on proven data modeling and data warehousing skills demonstrated in large‑scale data environments.
- Proven experience in software development lifecycle in analytics (e. g., version control, testing, and CI/CD).
- Excellent SQL and data transformation skills, ideally proficient in dbt or similar.
- Familiarity with at least one of these cloud technologies: Snowflake, AWS, Google Cloud, Microsoft Azure.
- Passionate about sales, finance, customer, marketing and/or product analytics data.
- Good attention to detail to highlight and address data quality issues.
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Senior Analytics Engineer in London employer: 0026 Checkout Technology Ltd
Checkout.com is an exceptional employer that fosters a high-performance culture, empowering employees to excel and be recognised for their contributions. With a strong focus on employee growth, the company offers comprehensive training and development opportunities, alongside a collaborative work environment that encourages innovation and cross-functional teamwork. Located in a vibrant area, Checkout.com provides unique advantages such as access to cutting-edge tools and systems, ensuring that every team member can thrive in their role.
Contact Details:
0026 Checkout Technology Ltd Recruitment Team
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