Data Engineer

At Datadope, we’re seeking a passionate Data Engineer to design and build scalable, efficient cloud-based data architectures. If you love designing and optimising data pipelines, working with large-scale datasets, and collaborating with ML and engineering teams — we’d love to have you on board!

• Design and implement scalable data pipelines for batch and real-time processing.
• Build and optimise cloud-based data architectures (AWS / Azure).
• Manage data flows from multiple sources ensuring quality and integrity.
• Implement and optimise data storage architectures (data lakes and warehouses: Snowflake, Big Query, Redshift, Click House).
• Develop and maintain messaging/streaming and orchestration systems (Kafka, Benthos, Airflow, DBT, NiFi).
• Clearly document processes, pipelines, and data architectures for easy reuse across teams.
• Collaborate with ML teams to provide data for training, inference, and monitoring.
• (Advanced plus) Experiment with vector databases and RAG techniques for generative data applications.

• Degree in Computer Science, Engineering or related fields.
• 3+ years of experience designing and implementing cloud-based pipelines.
• Proficiency in SQL, Spark, Airflow, and Kafka.
• Experience with relational and No
  
  SQL databases.
• Experience in real-time data processing (Flink or Spark Streaming).
• Familiarity with ETL tools (DBT, NiFi, Talend).
• Strong documentation and technical writing skills.
• Teamwork skills in high-demand environments.

• Data security and governance knowledge.
• Experience in monitoring and performance optimisation of data systems.
• Familiarity with ML data modelling.
• Fluency in English for communication with international teams.

🧠 Innovative projects with emerging autonomous AI technologies.

🌍 100% remote or hybrid work from our Madrid offices.

💸 Competitive salary based on experience.

📚 Annual budget for training and certifications (Udemy, Coursera, etc.).

🕓 Flexible schedule and reduced working hours in July and August.

💻 High-performance team with a tech-first culture.

🧘♀️ Collaborative environment surrounded by top technical professionals.

If so, the last step is for you to submit this form. We look forward to getting to know you.

In compliance with current legislation on Personal Data Protection, we inform you that the data controller is Datadope SL, and that your data will be incorporated into our files for the purpose of correctly managing your request for information. Your data will not be transferred to third parties except under legal obligation, and its processing is legitimized by your consent. We also request your express consent.

We also inform you that you may exercise the rights recognized in current legislation regarding access, erasure, restriction of processing, or portability, among others, by sending a letter, enclosing a copy of your , to the data controller, Datadope SL, at the following address: P.º de Europa, 26, P.L. 1, 28703 San Sebastián de los Reyes, Madrid.