Looker Jobs in Monterrey.
All active Looker roles based in Monterrey.
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Lead Data Engineer
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WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
Senior Data Engineer
Share this job
WHO ARE WE?
Launch Potato is a profitable digital media company that reaches over 30M+ monthly visitors through brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.
As The Discovery and Conversion Company, our mission is to connect consumers with the world’s leading brands through data-driven content and technology.
Headquartered in South Florida with a remote-first team spanning over 15 countries, we’ve built a high-growth, high-performance culture where speed, ownership, and measurable impact drive success.
WHY JOIN US?
At Launch Potato, you’ll accelerate your career by owning outcomes, moving fast, and driving impact with a global team of high-performers.
MUST HAVE:
- 5+ years of experience in data engineering within fast-paced, cloud-native environments
- Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
- Experience building and managing scalable ETL pipelines and data lake infrastructure
- Familiarity with distributed systems, Spark, and data quality best practices
- Strong cross-functional collaboration skills to support BI, analytics, and engineering teams
EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.
YOUR ROLE
Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.
OUTCOMES
- Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
- Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
- Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
- Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
- Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
- Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
- Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture
COMPETENCIES
- Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
- Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
- Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
- Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
- Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
- Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering
Want to accelerate your career? Apply now!
Since day one, we've been committed to having a diverse, inclusive team and culture. We are proud to be an Equal Employment Opportunity company. We value diversity, equity, and inclusion.
We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Ready to apply?
Apply to Launch Potato
The Role
We're looking for a Digital Acquisition Analyst who knows their way around pixels, SDKs, and acquisition channels. You'll be a key player in our growth team, helping us bring in the right users and making sure they actually stick around after downloading our app.
You don't need to have seen it all, but you need to be curious, sharp, and ready to own your work end to end.
What You'll Do
- Run and optimize acquisition channels: Manage campaigns across Meta, Google, TikTok, and other paid channels. Track what works, cut what doesn't, and scale what does.
- Own our tracking setup: Implement and maintain pixels (Meta, Google, TikTok) and make sure our events are firing correctly across web and mobile.
- Work with SDKs & MMPs: Help configure and QA tools like Adjust or AppsFlyer to keep our attribution clean and reliable.
- Dig into the funnel: Spot where users are dropping off and work with the team to test and fix it.
- Improve app onboarding: Analyze how new users move through our onboarding flow and find ways to increase activation rates.
- Report on what matters: Build and maintain dashboards with the metrics that actually drive decisions: CAC, ROAS, LTV, conversion rates.
- Collaborate across teams: You'll work closely with product, engineering, and creative to make things happen.
What We're Looking For
Must-Have
- 2–4 years of experience in digital acquisition, performance marketing, or growth.
- Solid understanding of tracking pixels and event-based attribution (Meta, Google, TikTok).
- Hands-on experience with at least one MMP (Adjust, AppsFlyer, Branch, or similar).
- Experience analyzing and improving conversion funnels.
- Comfortable working with data SQL is a plus, but strong Excel/Sheets skills work too.
- Some experience with app onboarding flows or mobile growth.
- English proficiency: upper-intermediate to advanced (B2–C1). You'll read docs, write reports, and communicate with partners in English.
Nice-to-Have
- Experience in high-performance industries like fintech, e-commerce, gaming, or on-demand.
- Familiarity with Firebase or a BI tool (Looker, Tableau, etc.).
- You've worked in a startup or scale-up before, you know what "wearing multiple hats" actually means.
Ready to apply?
Apply to Trivelta
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration to help our clients grow, innovate, and deliver measurable value for their customers.
dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Nestlé, Unilever and Metro.
We’re looking for a Senior Applied Data Scientist ready to elevate their impact. In this role, you’ll lead analytical projects end‑to‑end, applying advanced techniques to distil complex challenges into clear, actionable insights for our clients. You’ll combine strong technical expertise with strategic thinking, guiding both the analytical direction of projects and the quality of insight delivery
As part of our senior team, you’ll investigate and implement advanced methodologies, mentor junior colleagues, and collaborate closely with clients and internal teams to ensure alignment, clarity, and value.
What you'll be doing:
- Lead and execute analytical projects, applying advanced machine learning and analytical methodologies to solve complex client problems.
- Investigate & implement the most appropriate analytical techniques for each project, re-use and enhance global solutions and code.
- Deploy data science algorithms and market products on the designated tech stack, ensuring efficient and cost-effective delivery.
- Build and maintain strong relationships with internal teams and clients, ensuring clear communication and alignment on project requirements.
- Participate in external client meetings, helping explain methodologies, analytical approaches, and solution designs.
- Lead, support and guide junior team members, enabling smooth execution of their projects while maintaining quality standards
What we expect from you
- English language proficiency
- Minimum 5 years of experience with programming and Data Science in work/business environment
- Strong experience with SQL and Python programming, object oriented programming and Test driven development. Experience with PySpark is preferred
- Experience in applying advanced statistical models or machine learning algorithms to solve a variety of complex problems
- Advanced analytical skills, Insights Analysis, Data Visualization and Story telling. Experience with Power BI/Looker studio is a plus.
- Ability to manage own projects, analytical work streams for client accounts, coordinate related projects with other team members and coach more juniors team members.
- Experience working in retail analytics is a nice to have.
What you can expect from us
We won’t just meet your expectations. We’ll defy them. So you’ll enjoy the comprehensive rewards package you’d expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off.
You’ll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn.
And we don’t just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you.
Our approach to Flexible Working
At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work.
We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process.
For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)
Ready to apply?
Apply to dunnhumby
About the Role
On Trivelta, we build the technology that powers modern, social-first gaming experiences. Through our proprietary sportsbook and casino engine, we enable partners to launch fully branded, legally compliant gaming products combining real social interactions, predictive gameplay, and casino entertainment in one unified experience.
Headquartered in Boston with operations in Monterrey, Barcelona, and Atlanta, we’re scaling rapidly and building a global team passionate about redefining how people play, socialize, and connect.
We’re seeking a hands-on Data Analyst to join our team in Monterrey, MX. In this role, you’ll work closely with business stakeholders to turn complex data into clear, actionable insights. You’ll leverage strong SQL skills to build analyses, dashboards, and reports that support data-driven decision-making across the organization. This is an excellent opportunity for an analytical, collaborative professional looking to make a direct impact in a fast-growing, international environment.
What You’ll Do
- Write complex, efficient SQL queries to analyze data from multiple sources.
- Build reusable datasets, views, and queries for reporting and self-service analytics.
- Partner with stakeholders to define metrics, gather requirements, and translate business questions into analytical solutions.
- Design and maintain dashboards and reports using modern BI tools (Power BI, Tableau, Looker, QuickSight, or similar).
- Validate data quality, investigate anomalies, and ensure consistent KPI definitions.
- Support ML and advanced analytics projects by preparing datasets and interpreting results.
- Work with cloud-based data platforms, preferably AWS (S3, Athena, Redshift, RDS, Glue).
- Apply basic graph or network analysis concepts when working with relationship-based data.
What You Bring
Must-have
- Bachelor’s degree in a technical or quantitative field.
- 2–5+ years of experience in a data analyst, BI analyst, or similar role.
- Strong hands-on SQL skills (joins, subqueries, window functions).
- Experience working directly with business stakeholders.
- Experience building dashboards in at least one modern BI tool.
- Advanced English and strong communication skills.
Nice-to-have
- Exposure to machine learning or advanced analytics projects.
- Experience with AWS or another cloud data platform.
- Familiarity with Python or R for data analysis.
- Experience with graph or network analysis.
Ready to apply?
Apply to Trivelta