Data Engineer

About Apply Digital

Apply Digital is a global experience transformation partner. We drive AI-powered change and measurable impact across complex, multi-brand ecosystems. Leveraging expertise that spans across the customer experience lifecycle from strategy, design to engineering and beyond, we enable our clients to modernize their organizations and maximize value for their business and customers.

Our 750+ team members have helped transform global companies like Kraft Heinz, NFL, Moderna, Lululemon, Dropbox, Atlassian, A+E Networks, and The Very Group.

Apply Digital was founded in 2016 in Vancouver, Canada. In the past nine years, we have grown to ten cities across North America, South America, the UK, Europe, and India.

At Apply Digital, we believe in the “One Team” approach, where we operate within a ‘pod’ structure. Each pod brings together senior leadership, subject matter experts, and cross-functional skill sets, all working within a common tech and delivery framework. This structure is underpinned by well-oiled scrum and sprint cadences, keeping teams in step to release often and retrospectives to ensure we progress toward the desired outcomes.

Wherever we work in the world, we envision Apply Digital as a safe, empowered, respectful and fun community for people, every single day. Together, we work to embody our SHAPE (smart, humble, active, positive, and excellent) values and make Apply Digital a space for our team to connect, grow, and support each other to make a difference.

Visit our Careers page to learn how we can unlock your potential.

LOCATION: Apply Digital is a hybrid friendly organization with remote options available if needed. The preferred candidate should be based in (or within a location commutable to) the Delhi/NCR region of India, working in hours that have an overlap with the Eastern Standard Timezone (EST).

About The Client

In your initial role, you will support Kraft Heinz, a global, multi-billion-dollar leader in consumer packaged foods and a valued client of ours for the past three years. Apply Digital has a bold and comprehensive mandate to drive Kraft Heinz’s digital transformation. Through implementable strategies, cutting-edge technology, and data-driven innovation we aim to enhance consumer engagement and maximize business value for Kraft Heinz.

Our composable architecture, modern engineering practices, and deep expertise in AI, cloud computing, and customer data solutions have enabled game-changing digital experiences. Our cross-functional team has delivered significant milestones, including the launch of the What's Cooking App, the re-building of 120+ brand sites in over 20 languages, and most recently, the implementation of a robust Customer Data Platform (CDP) designed to drive media effectiveness. Our work has also been recognized internationally and has received multiple awards.

While your work will start with supporting Kraft Heinz, you will also have future opportunities to collaborate with the global team on other international brands.

THE ROLE:

Are you passionate about designing and optimizing data pipelines to support business intelligence and operational data needs? Do you enjoy working with cloud-based data architectures and collaborating with cross-functional teams to deliver scalable solutions? If so, you may be the right fit for our Data Engineer role.

As a Data Engineer at Apply Digital, you will contribute to building and maintaining cloud-native data pipelines that support our Composable digital platforms. You will work with data engineers, backend developers, and product teams to develop efficient, scalable, and secure data solutions. This role requires a strong foundation in SQL, Python, and cloud data platforms (preferably Google Cloud Platform - BigQuery) along with experience in data pipeline orchestration tools.(Dagster and DBT). This role also requires strong English language proficiency and experience working with remote teams across North America and Latin America with clear communication and coordination across distributed teams, including our clients.

WHAT YOU'LL DO:

• Design, develop, and maintain data pipelines for ETL/ELT/Streaming workflows
• Collaborate with backend and platform engineers to integrate data solutions into cloud-native applications
• Optimize data storage, retrieval, and processing for performance and cost efficiency
• Operate cloud data infrastructure, primarily Google Cloud Platform (BigQuery, Cloud Storage, Pub/Sub)
• Work with analytics and product teams to define data models for reporting and business intelligence
• Implement data security, privacy, and governance best practices
• Monitor, troubleshoot, and enhance data pipeline reliability and performance
• Maintain clear documentation for data pipelines, transformations, and data sources
• Stay updated with best practices and emerging technologies in data engineering
  
  
  

WHAT WE'RE LOOKING FOR:

• Strong proficiency in English (written and verbal communication) is required
• Experience working with remote teams across North America and Latin America, ensuring smooth collaboration across time zones
• 3+ years of experience in data engineering, focusing on building scalable pipelines and cloud-native architectures
• Strong SQL skills for data modeling, transformation, and optimization
• Proficiency in Python for data processing and automation
• Experience with cloud data platforms, particularly Google Cloud Platform (GCP)
• Hands-on experience with Google BigQuery, Cloud Storage, and Pub/Sub
• Familiarity with ETL/ELT tools such as DBT, Apache Beam, or Google Dataflow
• Exposure to data pipeline orchestration tools like Dagster, Apache Airflow, or Google Cloud Workflows
• Knowledge of data privacy, security, and compliance practices
• Strong analytical and problem-solving skills
• Excellent communication and teamwork abilities
  
  
  

NICE TO HAVES:

• Experience with real-time data streaming solutions (e.g., Kafka, Pub/Sub, or Kinesis)
• Familiarity with machine learning workflows and MLOps best practices
• Experience with BI and data visualization tools (e.g., Looker, Tableau, or Google Data Studio)
• Knowledge of Terraform for Infrastructure as Code (IaC) in data environments
• Familiarity with data integrations involving Contentful, Algolia, Segment, and Talon.One
  
  
  

#Promoted

LIFE AT APPLY DIGITAL

At Apply Digital, people are at the core of everything we do. We value your time, safety, and health, and strive to build a work community that can help you thrive and grow. Here are a few benefits we offer to support you:

Location: Apply Digital is a hybrid friendly organization with remote options available if needed. The preferred candidate should be based in (or within a location commutable to) Delhi/NCR, with the ability to overlap with the US/NA times zones when required.

Comprehensive Benefits: benefit from private healthcare coverage, contributions to your Provident fund, and a gratuity bonus after five years of service.

Vacation policy: work-life balance is key to our team’s success, so we offer flexible personal time offer (PTO); allowing ample time away from work to promote overall well-being.

Great projects: broaden your skills on a range of engaging projects with international brands that have a global impact.

An inclusive and safe environment: we’re truly committed to building a culture where you are celebrated and everyone feels welcome and safe.

Learning opportunities: we offer generous training budgets, including partner tech certifications, custom learning plans, workshops, mentorship, and peer support.

Apply Digital is committed to building a culture where differences are celebrated, and everyone feels welcome. That’s why we value equal opportunity and nurture an inclusive workplace where our individual differences are recognized and valued.

For more information, visit our website’s Diversity, Equity, and Inclusion (DEI) page. If you have special needs or accommodations at this stage of the recruitment process, please inform us as soon as possible by emailing us at careers@applydigital.com.