Description
Staff Data Engineer/Lead
Team: Data
Location: Delhi NCR
Commitment: Full-Time Permanent
Workplace Type: hybrid
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:
Apply Digital is seeking a Staff Data Engineer to help scale our data capabilities across engineering, analytics, MarTech, and AI. This role requires a full-stack data leader who can operate across the entire data lifecycle, from backend data architecture and engineering to frontend activation, analytics, and measurement. You will lead the design and delivery of end-to-end data solutions, enabling clients to move from fragmented data to connected, actionable, and intelligent decision-making systems. The ideal candidate combines hands-on technical expertise, MarTech fluency, and client-facing leadership, with a strong interest in advancing AI-driven data solutions (e.g., predictive modeling, segmentation, LLM-enabled analytics).
Responsibilities:
- Design and build scalable data pipelines, architectures, and analytics solutions
- Deliver end-to-end data solutions across ingestion, modeling, and activation
- Integrate data across CDPs, CRM, and media platforms to enable marketing use cases
- Translate business requirements into technical solutions and implementation plans
- Define and apply data architecture standards (modeling, governance, security)
- Optimize data platforms for performance, scalability, and cloud best practices
- Ensure data quality, reliability, and compliance across systems
- Develop and enable analytics frameworks (measurement, attribution, funnel analysis) to support data-driven decision making
- Lead and mentor a team of data resources in designing, creating, and maintaining scalable data pipelines, architectures, and analytics solutions.
- Ensure the team's solutions utilize Cloud services effectively by optimizing data architectures for performance and scalability.
- Apply advanced analytics and machine learning techniques (e.g., segmentation, predictive modeling) and implement AI-driven data solutions (e.g., LLMs, RAG, automation) to enhance insights, decisioning, and business outcomes.
- Champion the development and implementation of data architecture frameworks, standards, and principles, covering modeling, metadata, security, and reference data.
- Promote continuous learning within the team, staying ahead of emerging technologies and methodologies in data engineering and analytics.
Requirements:
- A Bachelor's degree in Computer Science, Information Systems, or a related field.
- At least 7 years of experience in data engineering, analytics or measurement with a proven track record of leading data teams.
- Expertise in Analytics solution, SQL, ETL, data warehousing technologies, and extensive hands-on experience with Cloud services.
- Demonstrated experience in data modeling, analysis techniques, and implementing data management best practices.
- Experience with data activation on media platforms using data integrations and Customer Data Platforms (CDP).
- Excellent communication and problem-solving skills, with the ability to lead client-facing discussions and presentations.
- Previous experience in a client-facing role, with a strong understanding of Data Analytics practices.
- Experience in data science or advanced analytics.
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].
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