BI Analytics Engineer (dbt & BigQuery Specialist)

Posted 9 Days Ago
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Barcelona, Cataluña, ESP
In-Office
Mid level
AdTech
The Role
As a BI Analytics Engineer at Adwake, you will manage the dbt project, optimize BigQuery, create impactful Looker Studio dashboards, and translate business metrics into actionable insights while maintaining engineering standards and best practices.
Summary Generated by Built In

Adwake is a tech-enabled services company powered by Entravision. At Adwake, we place cutting-edge technology and quality service at the heart of our approach to effectively find, connect and engage with your ideal customer across every screen.

We are looking for a BI Analytics Engineer who sits at the intersection of Data Engineering and Business Intelligence. 

This isn't a role where you’ll be a "ticket-taker." You will have the autonomy to refactor the architecture, choose the best path forward for our stack, and directly influence the company's growth strategy through data. You will be the primary owner of our dbt environment and BigQuery warehouse, ensuring our data transformations are scalable, our costs are controlled, and our Looker Studio dashboards provide the "aha!" moments our stakeholders need.

If you love the feeling of turning a messy SQL query into a clean, documented dbt model, this is for you!

Key Responsibilities 
  • Platform Stewardship: Take full ownership of our dbt project. You will maintain, refactor, and optimize existing models to ensure high performance and modularity.
  • Warehouse Optimization: Manage our BigQuery environment. You’ll be responsible for performance tuning (partitioning, clustering) and cost management to ensure our warehouse scales efficiently.
  • BI Excellence: Design, build, and maintain high-impact dashboards in Looker Studio. You’ll ensure that the data visualized is not just "correct," but actionable.
  • Engineering Standards: Implement and uphold best practices for data modeling, version control (Git), and CI/CD. We believe in treating data like software.
  • Business Translation: Partner with department leads to understand their KPIs. You will translate vague business questions into precise technical requirements and, ultimately, data products.
  • Legacy Refactoring: Identify technical debt within our current views and models. You will be tasked with simplifying complex logic and improving data documentation.
What You'll Bring 
  • dbt Expert: You have deep experience with dbt (Core or Cloud), including macros, snapshots, and testing frameworks.
  • SQL Ninja: You don’t just write SQL; you write performant SQL. You understand how BigQuery executes queries under the hood.
  • Data Modeling Architect: You are a fan of modularity. You know when to use Star Schema vs. One Big Table (OBT) and understand the trade-offs.
  • Visualization Pro: You have a portfolio of Looker Studio (formerly Data Studio) dashboards that are clean, intuitive, and fast-loading.
  • Contextual Awareness: You don't just build a "Revenue" column; you ask whether it's gross, net, or recognized revenue.
  • The "So What?" Factor: You have the ability to look at a dataset and understand the story it tells, ensuring the dashboards you build actually drive decision-making.
  • Communication: You can explain a "left join" to a Marketing Manager and a "conversion rate" to a Software Engineer without losing either of them.
Skills & Requirements
  • 3+ years of experience in an Analytics Engineering or BI role.
  • Expert-level SQL and experience with Google BigQuery.
  • Hands-on experience managing dbt in a production environment.
  • Proficiency in Looker Studio (experience with Looker/LookML is a plus).
  • Git/Version Control experience is a must.
  • Familiarity with Python for basic scripting or data manipulation is preferred.
  • Fluent English (C1 level), both written and spoken.

 What We Offer

🚀 Exciting challenges in a dynamic environment
💻 Hybrid work format, combining remote and in-office work twice a week
🥘 Ticket Restaurant 
🧘🏼‍♀️ Health Insurance and Wellbeing membership
🍉 Breakfast, Fruit & Snacks at the office
🥳 Team Events
🏆 Work Anniversary Celebrations and Gift Cards 
🌟 Referral Program 

Skills Required

  • 3+ years of experience in an Analytics Engineering or BI role
  • Expert-level SQL and experience with Google BigQuery
  • Hands-on experience managing dbt in a production environment
  • Proficiency in Looker Studio
  • Git/Version Control experience
  • Familiarity with Python for basic scripting or data manipulation
  • Fluent English (C1 level), both written and spoken
Am I A Good Fit?
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The Company
HQ: Santa Monica, CA
161 Employees
Year Founded: 1996

What We Do

We are a leading global advertising, media, and ad-tech solutions company connecting brands to consumers by representing top platforms and publishers. Our services are anchored by a world-class sales operation, healthy financials, and unique commercial partnerships with industry leaders such as TelevisaUnivision, Facebook, Twitter, Spotify, LinkedIn, TikTok, and Grab, among others. Our service portfolio enables high-performance campaigns while using highly competitive audience reach, cutting-edge mobile programmatic solutions, machine-learned bidding algorithms, and demand-side platforms on a global scale. Entravision’s global commercial footprint is anchored by strategic regional operations in the US, Latin America, Europe, and Asia. These branches forge strong client relationships, robust sales operations, and a common globalized corporate culture. We serve more than 4,500 technology and consumer brand clients, targeting more than 3 billion consumers around the world with a combined GDP of $36 trillion dollars. Headquartered in Santa Monica, California, USA. shares of Entravision Class A Common Stock trade on The New York Stock Exchange under the ticker symbol: EVC.

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