> Markdown version of [/jobs/ext/4219674-business-intelligence-data-engineer](https://www.wearedevelopers.com/jobs/ext/4219674-business-intelligence-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). --- # Business Intelligence Data Engineer - **Company:** Straumann Group - **Location:** Madrid, Spain - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Business Logic, Microsoft Azure, Cloud Database, Databases, Continuous Integration, Extract Transform Load (ETL), Data Warehousing, Database Queries, Dimensional Modeling, Google Analytics, Integrated Development Environments, JSON, Python (Programming Language), PostgreSQL, Windows PowerShell, Power BI, SAP (Applications), SQL Databases, Unstructured Data, Azure Data Factory, Snowflake, Apache Spark, Software Application Programming, Firebase, Pandas, Luigi, AWS Glue, Data Management, Software Version Control, Data Pipelines, Atlassian Bamboo, Jenkins, Databricks, Programming Languages - **Published:** October 28, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=486097a1ee334fcf ## About the Role * Data modeling experience and knowledge of data management and analysis (principles, good practices, dimensional models, schemas, ETL, data pipelines). * Proficiency in working with SQL Databases and data platforms, writing queries, maintenance and optimization. * Proficient in Python or similar programming languages. * 2+ years of experience delivering solutions using Microsoft Power BI and/or Fabric. * Experience developing and optimizing semantic models with complex business logic and understanding of common analytical issues. * Understanding of cloud data services such as Fabric, Azure, AWS, Databricks, SAP Datasphere. * Experience in writing DAX or similar languages to query, model and create business metrics. * Quick learner who is passionate about new technologies. * Strong sense of ownership, customer centricity, and drive with a can-do attitude. * Team player with proficient skills in English. * Excellent problem-solving skills, ability to work independently in a fast-paced environment. * University degree or equivalent experience. Additional Qualifications and Skills: * Experience on Power BI Premium Capacity administration and resource management. * Administration of Fabric Data warehousing, Workspaces, Lakehouses, Dataflows, RLS, UDFs or related Fabric objects. * Experience with data modeling optimization tools such as DaxStudio, Tabular Editor or similar. * Develop and maintain data pipelines using AWS/Azure native services like ADLS Gen 2, AWS Glue, AWS AppFlow, Azure Data Factory, Spark, Python, Databricks. * Experience in working with structured/unstructured data sources, file based sources, Social data sources, (Google Analytics, Google Firebase, SQL, Postgres, SAP, APIs, JSON). * Experience with API based, Powershell or similar solutions to trigger events, query or deploy solutions. * Proficiency in Python Pandas/Polaris/Spark. * Experience with admin and automation tools such as VSCode, Airflow, Luigi, Prefect, etc. * Experience of cloud based data warehousing platforms for querying, analyzing, sharing structured and unstructured data such as Snowflake, Databricks, etc. * Experience with CI/CD frameworks such as Azure DevOps, Jenkins, and Bamboo for version control, testing & deployment. * Experience working with data engineers and data scientists to deliver high quality data analytics solutions. * Experience in developing applications in cloud platforms such as AWS, Microsoft Azure ## Description * Actively apply your technical and analytical skills to build, maintain, troubleshoot or provide operational support for new or existing semantic models, schemas and data pipelines from various source systems. * Analyze and translate business requirements in collaboration with stakeholders and project teams, translating them into appropriate requirements to build technical solutions within our data ecosystem. * Ensure quality, delivery, and reliability within development standards. * Act as a trusted partner to stakeholders, analysts, and collaborate with technology teams to deliver sustainable and working solutions.