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Data Engineer

Datadope·Salary not specified

Primary stack

SQLAirflowKafkaETLNoSQL

Job description

About the Position

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

Responsibilities

  • Design and implement scalable data pipelines for batch and real-time processing.
  • Build and optimize cloud-based data architectures (AWS / Azure).
  • Manage data flows from multiple sources ensuring quality and integrity.
  • Implement and optimize data storage architectures (data lakes and warehouses: Snowflake, BigQuery, Redshift, ClickHouse).
  • 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.

Requirements

  • 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 NoSQL 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.

Nice to Have

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

We Offer

🧠 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.

About the Company

Datadope is a company dedicated to pushing the boundaries of data engineering and machine learning. We believe in the power of data to drive innovation and are committed to creating a collaborative and inclusive environment for our team members.

© Datadope. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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