Data Engineer, AI & Analytics
Who We Are:
We are a tech-enabled growth firm–at the intersection of marketing, consulting & data intelligence–igniting revenue and brand recognition for leading and emerging companies around the world. As a people-first firm, we value diversity in backgrounds and experiences. We strongly believe our people and culture are key to our success. Our vision is to be recognized as the most valued and respected private growth marketing firm in the world–with a scalable brand, culture and services. Our mission is to power the relentless pursuit of growth and redefine what’s possible through a team of growth-obsessed experts who demand innovation and results - driven by integrity, autonomy, and grit.
As a full-service growth marketing firm, we offer best-in-class services including: SEO, Content Marketing, Paid Media, Social Media Marketing, Programmatic + CTV, Public Relations, Influencer Marketing, Email + SMS, Conversion Rate Optimization, Retail Marketing, and Creative. Here at Power Digital, we are hyper-focused on helping brands drive revenue growth and brand recognition, ultimately driving irrefutable value for our clients.
At the heart of Power Digital is our proprietary technology, nova, which analyzes businesses through first-party data, simplifying investment planning for marketing and diligence in M&A––putting marketers in a strategic seat at the table––and providing value in unparalleled ways.
Managing billions in media, our dynamic team––of consultative marketers, creatives, analysts and technologists––challenge traditional ways of planning and measurement through meticulous testing and data science across each milestone of the customer journey.
***Proficiency in spoken and written English at an advanced level is required for this role.
A day in the life:
You'll sit on the Data Team, which owns the core data foundation for Power Digital: the pipelines, modeling, and data marts that power our agency teams, clients, and AI initiatives. You'll work end to end, from raw ingestion through the semantic layer, using AI-agentic workflows as a normal part of how you build.
The data itself is the interesting part. Marketing data is fragmented by default. Every ad platform has its own API, its own schema, and its own definition of a conversion. Platforms restate attributed conversions days after the fact, each in a different way. Entity hierarchies don't match (campaign/ad set/ad on Meta, campaign/ad group/ad on Google). Naming conventions, currencies, and timezones vary by client.
We do this across a large client portfolio, each client with a different stack, in a warehouse with per-client tenancy. You'll work closely with Client Service, BI, Tagging & Tracking, Data Ops, and the nova product/engineering teams.
Key Responsibilities:
- Design, build, and maintain the core data foundation (ingestion, modeling, and data marts), owning the workflow from raw platform data through the serving layers that support agency, client, internal, and AI consumers.
- Build ingestion that handles what ad platforms actually do: API changes, deprecated fields, aggressive rate limits, and retroactive restatement of conversion data, all without corrupting downstream models.
- Model across sources so the numbers reconcile: spend, impressions, conversions, and revenue across Meta, Google, TikTok, Amazon, LinkedIn, and Microsoft, plus customer-level joins across Shopify, Klaviyo, GA4, and client CRMs.
- Contribute to client-bespoke modeling on top of the core layer: custom logic, overrides, and client-specific marts built in response to individual client requests, with patterns that extend the shared foundation rather than fork it. This is steady, recurring work, not an occasional exception.
- Build the semantic layers and metric definitions that let AI-generated SQL return consistent, correct answers.
- Use AI-agentic workflows, including AI coding tools, to accelerate development and build intelligent data infrastructure. Document w