Data Engineer
Role details
Job location
Tech stack
Job description
We are currently looking for a Senior Data Engineer to join us remotely in Spain. You will work with our EMEA and US customers to help them solve their data engineering, ML, ML Ops, and cloud migration puzzles. "As a Data Engineer at DATAPAO, you will have the unique opportunity to push the boundaries of technology and lead the way in how data transforms the world. We work with customers who want to innovate and change their industries. So it never gets boring! Sorting out a complex technical puzzle, setting up a new data architecture from scratch, or guiding our customers through adopting the latest technologies is our routine here. Hence, we'd expect you to be more than just a (data) engineer. We'd expect you to breathe and live data, to thrive for knowledge and excellence, and to be keen to build something enduring and impactful for our customers. We'd expect you to be a (data) Paoneer!" (Máté Gulyás, CEO), Please note that currently we are unable to support transfer or offer full sponsorship for Skilled Worker visas as we're just setting foot into Spain. Want to know more about us? DATAPAO is a Data Engineering and AI company that covers the entire data transformation from architecture to implementation. Beyond delivering solutions, we also provide data and AI training and enablement. We are backed by Databricks - the creators of Apache Spark, and act as a delivery partner and training provider for them in Europe. Additionally, we are Microsoft Gold Partners in delivering cloud migration and data architecture on Azure. Our delivery partnerships enable us to work in a wide range of industries and with some of the most prominent global companies, such as Norsk-Hydro, Richter, Bayer, Schufa, GetYourGuide, TechnoAlpin, and Logically, to name just a few. As a training provider, we deliver onsite and online courses globally for Databricks and on our own. We have been teaching professionals at Apple, Amazon, Uber, Microsoft, T-Mobile, GE, Ericsson, and many more to improve their impact with data. For even more insights, check the links below:
- Designing and Implementing a Real-time Data Lake with Dynamically Changing Schema (EN) by Máté Gulyás (2021, Spark AI Summit)
- Productionising Machine Learning models (EN) by Máté Gulyás (2023, Mndwrk Event)
- "Ha a data governance jól működik, az olyan, mint egy láthatatlan szupererő" (HU) by Máté Gulyás (2023, Com-Forth Zóna Podcast) You can also follow us on LinkedIn for all the good stuff or just hit our recruitment team at jobs@datapao.com We're firm believers in scaling up a team without judgment or prejudice. What we really care about is working with the best people out there, no matter their background. And you should also not worry if you don't tick every box in the requirements. If you're passionate about data and learning new things, you'll fit right in, and we'd love to hear back from you. When we hear back from you, we'd like you to know that we are committed to your privacy and keeping your data safe. We do not share your data with any third parties (except the ones we use to run our recruitment process) and keep your application for two years unless you ask us otherwise. We use your data solely for recruitment purposes, such as letting you know about new career opportunities at DATAPAO and/or managing your application. But if you want to know more about how we store and manage your data, check our privacy policy. Inscribirse en esta oferta Recibir ofertas similares por correo electrónico Al crear una alerta, aceptas nuestros Términos y condiciones y Política de privacidad, y el uso de cookies.
Requirements
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You (ideally) have 5+ years of experience in Data Engineering, with a focus on cloud platforms (AWS, Azure, GCP);
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You have a proven track record working with Databricks (PySpark, SQL, Delta Lake, Unity Catalog);
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You have extensive experience in ETL/ELT development and data pipeline orchestration (e.g., Databricks Workflows, DLT, Airflow, ADF, Glue, and Step Functions.);
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You're proficient in SQL and Python, using them to transform and optimize data like a pro;
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You know your way around CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, or Bicep);
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You've hands-on experience integrating Databricks with BI tools (Power BI, Tableau, Looker). Consulting & Client-Facing Skills
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Ideally, you bring a proven history in consulting, from scoping to gathering requirements, designing solutions, and communicating effectively with stakeholders. If you bring a product company background with you, that's also fine as long as you can show a good consulting mindset and desire to be customer-facing;
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You've successfully delivered projects like Data Lakehouse buildouts and cloud data migrations;
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You excel in explaining technical concepts to non-technical audiences and drive decision-making. Operational Readiness & Soft Skills
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You're (almost) ready to hit the ground running, immediately contributing to live client projects;
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In a fast-paced consulting environment, where no two days are the same, flexibility and problem-solving comes naturally to you. Furthermore, resilience and thriving on challenges are essential traits in our industry;
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Your communication skills are on point-whether you're writing, speaking, or collaborating with stakeholders, you know how to keep everyone in the loop.