ABOUT APPLY DIGITAL

Apply Digital is a global digital transformation partner for change agents. Leveraging expertise that spans Business Transformation Strategy, Product Design & Development, Commerce, Platform Engineering, Data Intelligence, Marketing Services, Change Management, and beyond, we enable our clients to modernize their organizations and deliver meaningful impact to 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 nine cities across North America, South America, the UK, and Europe.

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 building scalable data pipelines and optimizing data architectures? Do you thrive in a fast-paced environment where data-driven decision-making and real-time analytics are essential? Are you excited to collaborate with cross-functional teams to design and implement modern cloud-based data solutions? If so, you may be ready to take on the Senior Data Engineer role within our team.

As a Senior Data Engineer, you will play a key role in designing, building, and maintaining cloud-native data pipelines and architectures to support our Composable digital platforms. You will collaborate with engineers, product teams, and analytics stakeholders to develop scalable, secure, and high-performance data solutions that power real-time analytics, reporting, and machine learning workloads.

This role requires deep expertise in data engineering, cloud technologies (Google Cloud Platform - BigQuery, Lookers preferred), SQL, Python, and data pipeline orchestration tools (Dagster and DBT).

WHAT YOU'LL DO:

Design, build, and maintain scalable data pipelines and architectures to support analytical and operational workloads.
Develop and optimize ETL/ELT pipelines, ensuring efficient data extraction, transformation, and loading from various sources.
Work closely with backend and platform engineers to integrate data pipelines into cloud-native applications.
Manage and optimize cloud data warehouses, primarily BigQuery, ensuring performance, scalability, and cost efficiency.
Implement data governance, security, and privacy best practices, ensuring compliance with company policies and regulations.
Collaborate with analytics teams to define data models and enable self-service reporting and BI capabilities.
Develop and maintain data documentation, including data dictionaries, lineage tracking, and metadata management.
Monitor, troubleshoot, and optimize data pipelines, ensuring high availability and reliability.
Stay up to date with emerging data engineering technologies and best practices, continuously improving our data infrastructure.

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.
5+ years of experience in data engineering, with expertise in building scalable data pipelines and cloud-native data architectures.
Strong proficiency in SQL for data modeling, transformation, and performance optimization.
Experience with BI and data visualization tools (e.g., Looker, Tableau, or Google Data Studio).
Expertise in Python for data processing, automation, and pipeline development.
Experience with cloud data platforms, particularly Google Cloud Platform (GCP).Hands-on experience with Google BigQuery, Cloud Storage, and Pub/Sub.
Strong knowledge of ETL/ELT frameworks such as DBT, Dataflow, or Apache Beam.
Familiarity with workflow orchestration tools like Dagster, Apache Airflow or Google Cloud Workflows.
Understanding of data privacy, security, and compliance best practices.
Strong problem-solving skills, with the ability to debug and optimize complex data workflows.
Excellent communication and collaboration skills.

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.
Knowledge of Terraform for Infrastructure as Code (IaC) in data environments.
Familiarity with data integrations involving Contentful, Algolia, Segment, and Talon.One.

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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 [email protected].

Senior Data Engineer

Apply Digital

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NICE TO HAVES:

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