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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** TheFork - **Location:** Barcelona, Spain (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Software as a Service, Cloud Computing, Code Review, Information Engineering, Data Governance, Data Infrastructure, Data Transformation, Python (Programming Language), Data Streaming, Data Storage Technologies, Pyspark, Infrastructure Automation Frameworks, Real Time Data, Machine Learning Operations, Terraform, Data Pipelines, Databricks - **Published:** July 20, 2026 - **Apply:** https://www.adzuna.es/contact-us.html ## About the Role + 5+ years of experience in Data Engineering. + Proven experience building and scaling modern data platforms and data pipelines. + Strong expertise in Python and PySpark. + Hands-on experience working with Databricks in production environments. + Experience with Medallion Architecture and modern data platform concepts. + Understanding of Data Mesh principles, domain ownership models, and data products. + Experience working with AWS cloud environments. + Experience using Terraform and Infrastructure as Code practices. + Strong knowledge of dbt for data transformation and modelling. + Solid understanding of data governance, quality, observability, and reliability. + Experience leading technical initiatives and collaborating with multidisciplinary teams. + A mindset focused on business impact, ownership, and continuous improvement. + Spanish and English Nice to Have + Experience supporting AI and Machine Learning products in production. + Knowledge of MLOps tools and practices. + Experience with streaming or near real-time data architectures. + Cloud, Data, or Databricks certifications. + Previous experience in fintech, SaaS, or other high-growth technology environments. ## Description As a Senior Data Engineer, your mission will be to build and evolve the data platform that powers critical business decisions, advanced analytics, and AI-driven products. You will combine hands-on technical execution, helping define architecture, establish engineering best practices, and support the growth of the wider Data team. This is a highly strategic role with direct impact on the company's ability to scale its data and AI capabilities. The Role: You will work within a modern cloud-based data ecosystem built around Databricks, AWS, and modern data engineering practices. Your responsibilities will include: + Participating in key decisions regarding the architecture and evolution of the data platform. + Designing and building scalable, reliable, and efficient data pipelines. + Enabling new Artificial Intelligence and Machine Learning use cases in production environments. + Driving technical initiatives and contributing to the growth and maturity of the Data function. + Optimizing data storage, processing, and performance within cloud environments. + Ensuring high standards of data quality, governance, observability, and security. + Collaborating closely with Product, Engineering, Data, and Business stakeholders. + Supporting AI and ML initiatives through the creation of datasets, feature stores, monitoring, and platform capabilities. + Defining engineering standards, deployment practices, and technical documentation. + Providing mentorship through architecture reviews, code reviews, and technical guidance. ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [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 Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)