At BASF Digital Hub Madrid, we develop innovative digital solutions for BASF, create new exciting customer experiences and business growth, and drive efficiencies in processes, helping to strengthen BASF's position as the digital leader in the chemical industry. We believe the right path is through creativity, trial and error, and great people working and learning together. Become part of our team and develop the future with us - in a global team that embraces diversity and equal opportunities.
JOIN THE TEAMAs part of BASF's Data & AI Powerhouse, we as the Data Transparency team provide an enterprise-wide Data Catalog solution as a single point of truth to share knowledge about data and to find and access relevant documented data in an efficient, convenient, and compliant way. Our goal is to accelerate business decisions and processes by enabling data citizens to connect data with insights.
As part of an agile team, you will independently drive the development of the Data Catalog to bring transparency into the BASF Data Landscape and enable the transfer of metadata across systems.
RESPONSIBILITIESYou will develop new integration processes to populate the Data Catalog with metadata, using Azure Data Factory, Azure Data Flows, and Databricks.You will be responsible for both the design and end-to-end implementation of individual microservices and RESTful APIs as well as ensuring their smooth operation.You will ensure code quality by defining coding conventions and development guidelines, ensuring high test coverage.You will contribute to building a stable and secure infrastructure and develop CI/CD pipelines and test frameworks.Within the team, you will use your experience to support a continuous exchange of knowledge and ensure effective collaboration with our internal stakeholders.QUALIFICATIONSBachelor's Degree/Diploma in Computer Science, Software Engineering, or comparable technical education.Minimum of 3+ years of working experience in backend software development.Hands-on experience in designing, developing, and consuming web services - RESTful APIs, including advanced authentication concepts (e.g., OAuth), ideally using Python.Experience in implementing and operating containerized microservices in cloud environments (Azure stack preferred).Experience with data transformation pipelines, ideally using Azure Data Factory, Data Flows, ADLS, and Databricks.Experience in writing complex SQL queries (using multiple types of joins, grouping functions, using subqueries).Experience in implementing workflows (e.g., via Bizagi) is a plus.High interest in technical innovation and continuous improvement of existing systems.Ability to communicate clearly and effectively translating sophisticated concepts into easily understandable language.Agile mindset, proactive approach, good self-organization, and teamwork in a remote environment, complemented by a strong customer focus.BENEFITSResponsibility from day one in a challenging work environment and "on-the-job" training as part of a committed team.Adequate compensation according to your qualifications and experience.A secure work environment because your health, safety, and wellbeing are always our top priority.Flexible work schedule and home-office options, so that you can balance your working life and private life.Learning and development opportunities.23 holidays per year.Another 5 days (readjustment days) and 2 days (cultural days).A collaborative, trustful, and innovative work environment.Being part of an international team and working on global projects.Relocation assistance to Madrid provided.At BASF, the chemistry is right.Because we are counting on innovative solutions, on sustainable actions, and on connected thinking. And on you. Become a part of our formula for success and develop the future with us - in a global team that embraces diversity and equal opportunities irrespective of gender, age, origin, sexual orientation, disability, or belief.
Discover the world of BASF and develop data solutions for the Chemistry 4.0 era – for a sustainable future. Help drive the digital transformation of the chemical industry by harnessing the potential of the latest data science technologies and data sources.
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