> Markdown version of [/jobs/ext/4708775-data-engineering-analytics-associate](https://www.wearedevelopers.com/jobs/ext/4708775-data-engineering-analytics-associate). 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 Engineering & Analytics Associate - **Company:** Metyis AG - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Computer Programming, Databases, Continuous Integration, Data Cleansing, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Queries, Python (Programming Language), Machine Learning, Performance Tuning, Scala (Programming Language), SQL Databases, Unstructured Data, Data Processing, Scripting, Git, Information Technology, Data Analytics, Data Pipelines - **Published:** November 14, 2026 - **Apply:** https://www.adzuna.es/details/5960207216 ## About the Role * 3-6 years of experience in data engineering, analytics, data science, or a hybrid data role * Degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field * Strong SQL skills and good programming knowledge in Python, Scala, or another scripting language * Experience with ETL/ELT pipelines, databases, data warehouses, and data modelling * Ability to analyse data and translate findings into business recommendations * Working knowledge of statistics and machine learning * Experience with Azure, AWS, or GCP * Familiarity with Git and CI/CD is desirable * Strong problem-solving, business understanding, and stakeholder-management skills * Fluency in English, Spanish and Catalan. ## Description * Interact with senior stakeholders at our clients on regular basis to drive their business towards impactful change * Become the go-to person for end-to-end data handling, management, and analytics processes * Working with Data Scientists to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation and visualization * Become part of a fast-growing international and diverse team What you will do: * Translate business problems into structured analytical approaches and data solutions * Analyse structured and unstructured data to identify insights and opportunities * Build and maintain ETL/ELT pipelines, datasets, and scalable data-processing solutions * Develop automation and analytical solutions using SQL, Python, Scala, or similar tools * Perform data-quality checks, validation, and performance optimisation * Support reporting, advanced analytics, and machine learning use cases * Collaborate with data science, engineering, reporting, product, and business teams * Communicate findings clearly to technical and non-technical stakeholders * Manage deliverables across multiple projects and clients