Data Engineer

**Help us bring people and businesses together**

Our SaaS platform enables multi-location brands and businesses to boost their online presence in a rapidly evolving world. From big to small, from Adidas to ZenPark, our client base contains some of your favourite brands as well, we bet.

**The 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 \uD83D\uDC4B) 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:
\uD83C\uDF35 GROW TOGETHER
- DEMONSTRATE PASSION & PERFORMANCE

✊ BE BOLD & DRIVE CHANGE

\uD83D\uDE80 BE CUSTOMER OBSESSED

**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.

**What we offer**:
\uD83D\uDC9C **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.

\uD83D\uDE01 **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.

\uD83E\uDD38\uD83C\uDFFD‍ ️** Flexibility** **to** **fit** **your** **lifestyle** Want to come to an office for collaboration? W