Senior Data Engineer, Data Lakehouse Infrastructure
TRM LabsSalary not specified
Full Time
Senior (5 to 8 years)
Not SpecifiedCompensation
Mid-level (3 to 4 years)Experience Level
Full TimeJob Type
UnknownVisa
Fintech, PaymentsIndustries
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 (e.g. 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
Responsibilities
- 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) which will 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
- Enable key insights on how products are performing and establish a single source of truth for North Star and tracking metrics
- Work closely with product managers and product data scientists to shape the product’s evolution
- Build new data products and introduce step changes in how we view analytics for critical areas
- Have end-to-end ownership of multiple data products from design to implementation to operationalisation
Skills
Key technologies and capabilities for this role
Questions & Answers
Common questions about this position
What are the key responsibilities of a Data Analytics Engineer at Checkout.com?
You'll design and implement high-performance data models using dbt and Snowflake, create Looker structures for self-serve analytics, work with data analysts and business teams, and champion data warehouse governance.
What skills and experience are required for this Data Analytics Engineer role?
Key requirements include proven experience as a data or analytics engineer, hands-on data modeling and warehousing in large-scale environments, excellent SQL and data transformation skills (ideally dbt), software development lifecycle experience, and familiarity with cloud technologies like Snowflake or AWS.
Is this a remote position or does it require office work?
This information is not specified in the job description.
What is the salary or compensation for this role?
This information is not specified in the job description.
What is the company culture like at Checkout.com?
The culture supports high performers through real ownership, fewer blockers, and impactful work from day one, with fast-moving, performance-obsessed teams driven to be better every day.
Checkout.com
High-performance payments platform for enterprises
About Checkout.com
Checkout.com provides a payments platform that helps businesses process payments, send payouts, and manage card programs. The platform is designed for large enterprises and growing businesses, allowing them to handle high volumes of transactions quickly and reliably. It integrates with clients' existing systems and offers a range of payment services, generating revenue through transaction fees and subscriptions. Unlike many competitors, Checkout.com focuses on providing a comprehensive, cloud-based solution that supports the financial operations of its clients across the globe. The goal of Checkout.com is to streamline payment processes and enhance the payment experience for both businesses and their customers.
London, United KingdomHeadquarters
2012Year Founded
$1,780.1MTotal Funding
SERIES_DCompany Stage
Fintech, Financial ServicesIndustries
1,001-5,000Employees
Benefits
Work-life balance - Flexible working and plenty of time off to unwind. We’ll even give you your birthday off.
Recognition - Peer recognition program and quarterly Hero Awards. We celebrate success together.
Career development - Tailored career development and learning pathways. We’ll help you unlock your potential.
Celebrating diversity - Internal community groups and cultural events. We celebrate our differences.
Staying healthy - A global wellness programme and private health insurance. We support your wellbeing.
Security for the future - Comprehensive plans for you and your loved ones. We’ll take care of you.
Giving back - Employee-led community outreach, payroll giving and a volunteering day. We care about your causes.
Risks
Checkout.com faces increased competition from emerging fintech startups.
Economic instability in the UK and EU may impact Checkout.com's revenue.
Regulatory scrutiny on data privacy could increase compliance costs.
Differentiation
Checkout.com offers payments in over 150 currencies with in-country acquiring.
The platform integrates fraud filters and reporting through a single API.
Checkout.com supports major international cards and local payment methods.
Upsides
Checkout.com is expanding in Japan, enhancing its global presence.
The partnership with Zing increases digital payment methods and product growth.
Checkout.com launched Octopus for online payments, a first for global PSPs.
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