Data Engineer
Argentina
Uberall
Uberall Multi-Location Marketing Platform makes your stores stand out against their competition across all your online directoriesThe Past, Present & Future
The Past: Founded in 2013 by David Federhen and Florian Hübner, two longtime friends with a vision to improve customer experience across the online and offline worlds, they created a platform that connected companies with local customers in the digital-first moment.
The Present: We're on a mission to put every single business on the map, and believe every business deserves success, regardless of size or location. Simply put, our location marketing platform exists to help our customers get found online and connect with customers through search, discovery, engagement and conversion.
The Future: We're a growing company with a bright future. We have established ourselves as a rising thought leader through the introduction of Location Performance Optimization (LPO). Our AI strategy is gaining momentum and it's setting us apart in the market. Our agentic AI 'UB-I' moves us from features and functions to business outcomes. UB-I will work 24/7 to optimize location performance, driving engagement, visibility and, most importantly, measurable results. As AI changes search far beyond traditional SEO results, we are at the forefront of enabling our customers to reach theirs in this new era. We have a passionate and diverse team, a comprehensive, intuitive platform and a clear vision for the future. We're looking for talented, passionate people, with an AI-first mindset, (like you 👋) to join us on our journey.
You and us
We are more than 400 Uberallers, with 50+ different nationalities in 30+ countries, who live and breathe our core values:
🌵 GROW TOGETHER ⛰ DEMONSTRATE PASSION & PERFORMANCE ✊ BE BOLD & DRIVE CHANGE 🚀 BE CUSTOMER OBSESSED
So, what are you waiting for? If you're passionate, driven, customer obsessed and ready to be bold, we want you on our team! Apply now and let's grow together.
About the Role
We are looking for a skilled Data Engineer to join our Data Platform team and help design, build, and maintain robust ELT pipelines on Databricks and AWS. You’ll work with large-scale datasets stored in S3 buckets and processed with PySpark, SQL, and Delta Live Tables to power data-driven decisions across the business. This is a hands-on and impact-driven role, collaborating with product teams and engineers to ensure the accuracy, performance, and scalability of our data infrastructure.
Your Responsibilities
- Design, build, and maintain scalable and reliable ELT pipelines using PySpark, SQL, and Delta Lake.
- Leverage Databricks and Delta Live Tables to orchestrate and optimize data workflows across structured and semi-structured datasets.
- Manage data storage and access on AWS S3, ensuring data is partitioned, versioned, and cataloged effectively.
- Monitor and improve pipeline performance, cost, and reliability through efficient data modeling and job scheduling.
- Collaborate with analytics and product teams to understand data needs and deliver clean, consistent datasets for reporting.
- Implement data quality and validation checks to ensure high standards of accuracy and completeness.
- Contribute to the evolution of our data lake architecture and advocate for best practices in data engineering.
Your Profile
- 3+ years of experience as a Data Engineer or in a similar role working with distributed data systems.
- Strong expertise in Databricks, PySpark, and writing efficient SQL for large-scale transformations.
- Experience working with data lakes, Delta Lake, and S3-based storage in a production environment.
- Proficiency with ELT design patterns and building production-grade data pipelines.
- Familiarity with data pipeline orchestration tools such as Delta Live Tables, Airflow, or similar.
- Solid understanding of cloud platforms, especially AWS (e.g., S3, Glue, Lambda, IAM).
- Strong communication and collaboration skills with cross-functional stakeholders.
- Nice to have: Experience with CI/CD for data pipelines and infrastructure-as-code tools like Terraform.
- Nice to have: Familiarity with Unity Catalog, or data cataloging tools (e.g., AWS Glue Catalog).
- Nice to have: Background in building real-time or near-real-time data ingestion systems.
💜 A mission with meaning and purpose At Uberall, we foster genuine connections between local businesses and people. Our diverse team allows us to win together with our partners, co-workers, and customers. Speaking of our customers, they’re some of the most recognizable businesses in the world.
😁 A truly human culture We’re famous for our culture. Uberallers live by our values. We’re open, collaborative risk-takers with a whole lot of passion and grit.
🤸🏽♀️ Flexibility to fit your lifestyle Want to come to an office for collaboration? We’ve got space for you in Berlin, Amsterdam, and Barcelona. We also offer co-working access in Montreal, Paris, London, LA and San Diego. Prefer to work remotely? Fine by us! Bonus points if we meet your pets in a video call. If working from another country is legally possible for you and within a reasonable time zone, we happily support work-ations.
💸 A piece of the pie Our pay & perks are competitive, and you better believe we review them on the regular to make sure they stay that way. We grow together, so of course all Uberallers are part of our long-term incentive program through VSOP/ESOP.
♺ Emotional and intellectual connection Events and alignment sessions - YES and YES. With the team, cross-functions, regional, you name it - we love bringing people together. Uberallers share a LOT of hobbies. Whatever you’re into – reading books, baking, heavy metal, fostering kittens . . . you’ll find kindred spirits on our team.
🧘 Health and Wellness We prioritize your wellness with generous holiday time, paid parental and circumstantial leave, and individualized health and wellness opportunities depending on your location.
⭐️ All-access pass Get immersed in Uberall from day one. Your onboarding is packed with a deep dive into our values, insights into all our departments and a chance to ask the CEO anything. We come together monthly for our town hall and product showroom so you’re always in the know.
🌵 Everyday growth We support you on your non-stop learning journey. We offer development dialogues, live workshops on topics like resilience and feedback and a Leadership Academy to make sure our leaders have all the tools to bring out the very best in teams. We also invest in your growth with a learning fund program reinforcing our commitment to fostering a culture of continuous learning.
🖥 Top-of-the-line tech MacBook Pro, magic mouse, 2nd screen . . . Need anything else? Let the People & Culture team know.
Remember our "Grow Together" value from the beginning of the ad?
We mean it.
🌵🏔✊🚀
Everything starts with getting in touch. The best way to express your interest is by applying online. One of our real, human TA Partners will be carefully reading your profile and can't wait to hear from you.
In the meantime, let our "Uberall" social account give you some real-life impressions.
👥 Diversity, Equity, Inclusion & Belonging:
At Uberall, we believe inclusion unlocks the potential of diversity. It’s right there in our number one core value – Grow Together. Sure, we’re over 400 unique people with over 50 nationalities working in 30 different countries, but we’re all Uberallers. That means we’re collaborative, open-minded and assume positive intent in everything we do. We don’t judge, and we don’t exclude.
Our flexible ways of working are designed to make sure each and every Uberaller belongs and thrives, no matter their background, abilities, or lifestyle. We don’t just think inclusion makes us stronger, we KNOW it.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AI strategy Architecture AWS AWS Glue CI/CD CX Databricks Data pipelines Data quality ELT Engineering Lambda Pipelines PySpark SQL Terraform
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Gear Parental leave Salary bonus Startup environment Team events
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