> Markdown version of [/jobs/ext/2968993-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/2968993-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). --- # Analytics Engineer - **Company:** Factorial - **Location:** Barcelona, Spain - **Salary:** €42,800.0 - €60,500.0 - **Contract:** Permanent contract - **Skills:** Adaptable Database Systems, Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Data Analysis, Software as a Service, Computer Programming, Continuous Integration, Information Engineering, Data Infrastructure, Web Development, Power BI, DataOps, SQL Databases, Data Streaming, Usage Analysis, Apache Spark, Data Lakes, Apache Flink, Apache Kafka, Vertica, Terraform, Software Version Control - **Published:** September 17, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role + Knowledge of the AWS Analytics Stack (Glue, S3, Athena, Redshift) + 3-4 years experience with SQL. + GitOps driven mentality and data CI/CD ideas. + Data modeling with DBT. Nice to have + Hands-on with Kafka. + Spark development, especially Structured Streaming, or equivalent (Flink, Beam, Samza,...) + Some infrastructure as code experience, ideally with Terraform on CloudSome alternative coding experience, ideally with a background of web development. At Factorial we don't evaluate you by the years of experience you have, we evaluate your knowledge and skills. How? We have a Career Parth ith a rubric framework where we define what is expected for each experience level and skill. This framework allows you to know at which level you're right now and what you need to keep growing. As we love transparency, our Career Path includes the salaries for each level and we share it during the first interview to make sure we're aligned. ## Description Factorial's mission is to empower businesses to make better decisions, and data is a key component in doing so. As an Analytics Engineer at Factorial, you'll sit at the intersection of data engineering, business intelligence, and product analytics. Our data platform is already offering the following services: + Ingestion (SaaS APIs, DDBBs, Streams) + Storage (Data Lake, Stream Storage) + Catalogue (Atlan) + Modeling (Metabolic/ DBT) + Activation (Hightouch) + Exploration & Visualization (Preset/PowerBI) + On-demand Data Products (Clickhouse) We're looking for an Analytics Engineer to collaborate closely with Product and our Finance teams. The Role At Factorial, we have a team of +150 very talented developers. We are looking for engineers who can wear many hats, abstract problems, and find creative solutions. We look for smart people who are curious, proactive and have good soft/communication skills. We are not looking for a long list of skills and technologies. We interact with Data through SQL on AWS, but we use many tools to exploit data, we don't expect you to be proficient in all of them. We believe that someone who has good aptitudes and is hungry for learning is what works best. If you're looking for new challenges in a people-first company, this is what to expect: + You design, build, and maintain robust, scalable data models, pipelines, and dashboard/reporting systems to support internal stakeholders across Product and Finance. + You will help stakeholders analyse their data: as you grow more comfortable in the business domain, you will be able to ask the right questions as well as craft the queries to answer them. + You will ensure high data quality, consistency, and reliability. Implement testing, validation, version control, and monitoring in the data flow) + You will occasionally contribute in managing the platform from a DataOps point of view. ## Related Videos - [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) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Inside Bitpanda's Tech Stack: Scaling a European Fintech Leader - Markus Dorner](https://www.wearedevelopers.com/videos/1979-inside-bitpanda-s-tech-stack-scaling-a-european-fintech-leader-markus-dorner) - [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) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## 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) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)