We are looking for a Senior Data Engineer to join the Data Platform at Smartly!
Smartly is an AI-powered advertising platform uniting creative and media workflows. We help brands create, manage, optimise, and understand digital advertising across major media platforms.
The Data Platform team builds the data foundations that support product development, product analytics, and business decisions. In this role, you will build and operate the pipelines that bring data from Smartly’s product and business systems into BigQuery, then shape it into dependable datasets used across the company.
Our production data stack includes Google Cloud, BigQuery, dbt, Airflow and Python. You will work across ingestion, storage, orchestration, modelling, and operations. Strong judgement about data storage matters: how data is structured, retained, and served affects reliability, usability, performance, and cost.
You will work closely with Product Analytics, BI, product engineering, and data-platform engineers. Together, we make data easier to discover, trust, and use.
What you will do- Build and operate batch and incremental ingestion pipelines in Google Cloud to Smartly Data Platform.
- Develop Airflow workflows using Python with best orchestration practices, including dag dependencies, retries, backfills, alerting, and recovery.
- Build and maintain dbt transformations, from source-aligned staging models to curated warehouse datasets. Add tests and documentation, and support version control and deployment checks.
- Design practical storage patterns across Cloud Storage and BigQuery, considering formats, data grain, partitioning, clustering, retention, lifecycle, and access controls.
- Improve data warehouse performance and cost through ongoing query and storage optimization.
- Document data flows and operational practices so pipelines are understandable, supportable, and safe to extend.
- Work with analytics, product engineering, and platform colleagues to clarify requirements and deliver dependable datasets.
- Monitor freshness, completeness, volume, and schema changes so data problems are visible and addressed early.
- Investigate pipeline failures and data discrepancies from source through downstream models, correct the root cause, and validate recovery.
- Professional experience on building data warehouses starting from data ingestion and landing to publishing data products.
- Strong SQL and Python skills, with a track record of writing clear, maintainable code.
- A solid understanding and hands on experience on data storage and warehouse design, including how structure, volume, access patterns, and retention affect reliability, performance, cost and data modelling.
- Experience developing and supporting Airflow workflows or similar orchestration tool
- Practical dbt experience, including models, tests, documentation, and version-controlled deployment workflows.
- Experience with solving production issues in data warehouse.
- Clear written and spoken English, and the ability to work effectively with engineers and analysts.
- Google cloud development stack: Google Cloud Storage, BigQuery, Cloud SQL, PostgreSQL, or other Google Cloud data services.
- Kafka or other event-streaming systems, and familiarity with Kubernetes.
- Data lineage, cataloguing, observability, Tableau, or Redash.
- Advertising, marketing, or product analytics data.
At Smartly, we offer a place where you can do meaningful technical work while growing with a global team.
- Inclusive global culture built on trust, transparency, open feedback, and respect for different perspectives.
- Global impact through technology used by major brands to plan, create, optimize, and understand digital advertising at scale.
- Wellbeing support, paid holidays, family leave, and sustainable ways of working.
- Equity options, performance-based rewards, competitive compensation, and career development opportunities.
- A flexible hybrid workplace that balances office collaboration with focused remote work.
Smartly is the AI-powered advertising technology company transforming ad experiences for brands and their consumers. Our comprehensive advertising platform seamlessly integrates the capabilities of media, creative, and intelligence to power more than 800 billion impressions and generate more than 300 billion creatives annually, delivering tangible business outcomes for brands and advertisers.
Smartly is the only company in the industry recognized as a Leader in The Forrester Wave: Creative Advertising Technologies with PwC validating the results it delivers for brands. We manage creative and media for 700+ brands worldwide and $6B in ad spend across the largest media platforms, including Facebook, Google, Instagram, Pinterest, Snap, and TikTok. Our end-to-end technology, unmatched access to media platforms and exceptional customer service help Fortune 500 brands to reach and engage consumers and learn what performs best.Smartly is a multinational and diverse team of 750+ Smartlies from 60+ nationalities, working in 13 countries. Together, we want to create and maintain an inclusive environment where everyone feels respected and heard. Our Diversity, Equity & Inclusion approach is at the heart of it.
Visit Smartly to learn more.
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Skills Required
- Professional experience building data warehouses from ingestion and landing through publishing data products
- Strong SQL and Python skills with experience writing clear, maintainable code
- Hands-on experience with data storage and warehouse design, including structure, volume, access patterns, retention, reliability, performance, cost, and data modeling
- Experience developing and supporting Airflow workflows or a similar orchestration tool
- Practical dbt experience with models, tests, documentation, and version-controlled deployment workflows
- Experience resolving production issues in data warehouses
- Clear written and spoken English and ability to work effectively with engineers and analysts
- Experience with Google Cloud data services including Cloud Storage, BigQuery, Cloud SQL, or other Google Cloud services
- Experience with Kafka or other event-streaming systems and familiarity with Kubernetes
- Experience with data lineage, cataloging, observability, Tableau, or Redash
- Experience with advertising, marketing, or product analytics data
What the Team is Saying
Smartly Compensation & Benefits Highlights
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Leave & Time Off Breadth — Five weeks of paid vacation, 11 paid holidays, and unlimited sick days are described for U.S. roles, with leave highlighted as a standout element. Feedback suggests the policy is a strong headline benefit where it applies.
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Healthcare Strength — Medical, dental, vision, and mental-health support are included in published benefits, with health coverage characterized as a strong component. Life and disability insurance are also noted.
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Retirement Support — A 401(k) with employer matching is part of the U.S. package. This retirement support is positioned as a meaningful addition to total compensation.
Smartly Insights
What We Do
We solve for advertising campaign and creative complexities - both key elements to the time/money savings and performance that brands, agencies and businesses seek. Our unified platform combines media, creative, and intelligence, offering end-to-end workflows powered by AI across the open and closed web. With over 700 brands and advertisers, we've proven that dynamic and personalized creative makes advertising impactful. We are on a mission to transform the advertising experience for brands and their consumers. ⚡️
Why Work With Us
As a fast-paced growth company, we offer opportunities to maximize learning and amplify impact. Our culture and values have always been the secret sauce of our growth. They define how we aspire to build our adtech product, whom we hire and reward, and how we work towards a shared vision. Join us in moving advertising forward.
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Smartly Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We are a hybrid workplace where Smartlies have the flexibility of hybrid work combining office and work from home. We also offer programs for short-term remote work globally.
