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Data Engineer

Data Engineer

DeelLondon, UK
17 days ago
Job type
  • Full-time
  • Remote
Job description

Who we are is what we do.

Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 100+ countries—helping businesses scale smarter, faster, and more compliantly.

Among the largest globally distributed companies in the world, our team of 5,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers.

Why should you be part of our success story?

As the fastest-growing Software as a Service (SaaS) company in history, Deel is transforming how global talent connects with world-class companies – breaking down borders that have traditionally limited both hiring and career opportunities. We're not just building software; we're creating the infrastructure for the future of work, enabling a more diverse and inclusive global economy. In 2024 alone, we paid $11.2 billion to workers in nearly 100 currencies and provided healthcare and benefits to workers in 109 countries—ensuring people get paid and protected, no matter where they are.

Our momentum is reflected in our achievements and customer satisfaction : CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and repeated recognition on Y Combinator’s top companies list – all while maintaining a 4.83 average rating from 15,000 reviews across G2, Trustpilot, Captera, Apple and Google.

Your experience at Deel will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum—backed by a $12 billion valuation and $800 million in Annual Recurring Revenue (ARR) in just over five years—you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work.

The Team

The Data Platform team at Deel is dedicated to enhancing data quality, optimizing pipeline performance, building robust platform tools, and managing costs across the entire data stack—from ingestion to outbound integrations and everything in between. As a Data Engineer on this team, you’ll play a critical role in shaping the future of Deel’s data infrastructure, ensuring it scales effectively with 30+ Analytics Engineers and 100+ data professionals embedded across the organization.

Our team collaborates cross-functionally with analysts, analytics engineers, data scientists, software engineers, and leadership to achieve these goals.

Your Role as a Data Engineer

As a Data Engineer on the Data Platform team, you will :

Design, implement, and manage scalable and efficient data pipelines using tools like Snowflake, Airflow, dbt, and Fivetran. Experience with similar technologies is also valued as we continuously evolve our stack.

Collaborate with cross-functional teams to understand data requirements and deliver solutions that align with business needs.

Implement and enforce robust data governance policies to maintain data integrity, quality, and security.

Develop and maintain ELT processes to extract, load, and transform data from diverse sources into the data warehouse in both batch and streaming fashion.

Optimize SQL queries to enhance data analysis and reporting.

Partner with data analysts, data scientists, analytics engineers, and stakeholders to understand data workflows and provide technical support.

Diagnose and resolve data-related issues promptly.

Build a cutting-edge development environment and CI / CD system to ensure scalability and efficiency.

Ingest data from various external systems via APIs.

Stay informed on industry trends and emerging technologies to drive continuous improvement in data engineering practices.

Qualifications

Experience : Minimum 3 years as a Data Engineer or in a similar role.

Technical Skills : Strong proficiency in Python and SQL; experience with Golang or JVM-based languages is a plus.

Data Warehousing : Hands-on experience with cloud-based data warehouses.

Data Modeling : Proficiency in designing efficient database schemas.

Workflow Orchestration : Familiarity with tools like Apache Airflow.

Data Streaming : Experience with data streaming and Change Data Capture (CDC).

Infrastructure : Proficiency in Terraform and GitHub Actions.

Compliance : Experience in setting up PII anonymization and RBAC.

Collaboration : Strong ability to work with cross-functional teams and communicate technical concepts to non-technical stakeholders.

Problem-Solving : Excellent analytical skills with a keen attention to detail.

Preferred Skills

Kubernetes : Experience with Kubernetes is a plus.

Data Warehouse Administration : Prior experience managing data warehouses is advantageous.

Regulatory Compliance : Familiarity with GDPR or similar data privacy regulations is beneficial.

Join us in building a world-class data platform that drives actionable insights and scales with Deel’s rapidly growing business.

Total Rewards

Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.

Some things you’ll enjoy

Stock grant opportunities dependent on your role, employment status and location

Additional perks and benefits based on your employment status and country

The flexibility of remote work, including optional WeWork access

At Deel, we’re an equal-opportunity employer that values diversity and positively encourage applications from suitably qualified and eligible candidates regardless of race, religion, sex, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, pregnancy or maternity or other applicable legally protected characteristics.

We use Covey as part of our hiring and / or promotional processes. As part of the evaluation process, we provide Covey with job requirements and candidate-submitted applications. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. For positions in New York City, our use of Covey complies with NYC Local Law 144.

We began using on March 30, 2025.

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Data Engineer • London, UK

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