> Markdown version of [/jobs/ext/1359896-data-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/1359896-data-analytics-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 & Analytics Engineer - **Company:** Alohas - **Location:** Barcelona, Spain - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Business Analytics Applications, Data Analysis, BigQuery, Information Engineering, Data Infrastructure, Data Warehousing, Power BI, SQL Databases, Systems Integration, Tableau (Software), Cloud Platform System, Snowflake, AWS Lambda, Information Technology, Data Analytics, Data Management, Cloudwatch, Looker Analytics, Data Pipelines - **Published:** July 20, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role We are looking for a Data & Analytics Engineer with a strong analytical and technical profile to help build and scale the company's data department., + Experience: 5+ years in roles related to Analytics Engineering, Data Analytics, or Data Engineering. + Education: Degree in Engineering, Mathematics, Statistics, Data Science, Computer Science, or a similar field. + Advanced mastery of SQL and experience using Python for data analysis and transformation. + Hands-on experience with Data Warehouses (Redshift, Snowflake, or BigQuery) and analytical data modeling. + Proven track record building data pipelines and integrating diverse information sources. + Proficiency with BI tools (Metabase, Looker, Tableau, or Power BI) for dashboarding. + Knowledge of Cloud environments, specifically AWS (S3, Lambda Functions, CloudWatch). + A methodical and structured mindset with analytical curiosity. Ability to translate business problems into data-driven solutions and thrive in agile, small-team environments. + Nice to have: Experience with DBT, Airflow, or Prefect, as well as knowledge of applied statistics or predictive modeling. ## Description In this role, you will work across different stages of the data stack: from building and transforming data pipelines, to conducting deep-dive analyses and generating insights that drive business decisions. You will join a small, flexible, and "liquid" team where every member participates in various project types and has a direct impact on the company's growth. The ultimate goal is to transform the Data area into a centralized hub for analysis and decision-making for the entire organization, working transversally with Strategy, Operations, Pricing, and Marketing teams. Key Responsabilities: + Data Platform Development: Building and improving the data infrastructure, including developing pipelines, integrating new sources, and analytical data modeling within the Data Warehouse. + Reporting & Governance: Creating reporting systems and analytical datasets, developing dashboards, defining/documenting business KPIs, and contributing to data organization and governance. + Business Analytics: Conducting ad-hoc analyses, scenario simulations (pricing, occupancy, etc.), and developing analytical tools to optimize strategic decision-making. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria)