> Markdown version of [/jobs/ext/3667941-data-engineer](https://www.wearedevelopers.com/jobs/ext/3667941-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Ey Gds Spain - **Location:** Spain - **Contract:** Permanent contract - **Skills:** Agile Methodology, Amazon Web Services, Microsoft Azure, Big Data, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Mart, Data Warehousing, Relational Databases, DevOps, Distributed Computing Environment, Python (Programming Language), Scrum Methodology, Data Mesh, Standard Sql, Software Engineering, Unstructured Data, Parquet, Data Lakes, Pyspark, Kubernetes, Avro, Data Management, Data Pipelines, Docker, Databricks - **Published:** October 10, 2026 - **Apply:** https://www.adzuna.es/details/5921512254 ## About the Role Solving complex business problems on a large scale. Participating in cross-functional initiatives and collaborating across various domains. Interacting with engineers, product/project managers, and partners from all over the world. To qualify for the role, you must have · 3- 4 years of experience in Data Engineering area · 3 years of experience in Databricks, including services like data pipelines, Unity Catalog · 3 years of experience in Big Data · You are proficient in SQL, Python and pySpark · You have a background in data warehousing, ETL, distributed data processing, software engineering components and data modeling concepts · Analytical problem-solving skills, particularly those that apply to a big data environment · Experience in working with structured, semi-structured and unstructured data · Experience in at least one public cloud (Azure, AWS or GCP) · Strong Experience in design techniques of relational databases and non-relational storage · Strong Experience with concepts such as Data Marts, Data Warehouses, Data Lakes, Data Mesh · Very good English (verbal and written) · Experience in using Agile methodologies (Scrum, Kanban, etc.), DevOps and CI/CD principals Ideally, you'll also have · Knowledge of data formats: Parquet, Iceberg, Avro · Containerization: Docker, Kubernetes, What we look for You have a "Hold my beer - I got this" attitude with a reputation of a "go-to" person with all data-related topics. ## Description As a Senior Data Engineer you are responsible for building data platforms that enable our clients and business partners to make efficient decisions with ease. You design robust solutions on state-of-the-art data engines such as Databricks.