Senior Data Engineer
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Role details
Tech stack
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Job description
Location: Spain
Working model: Remote-first
Contract: Initial 12 months + Extensions
Project: Long-term Data Platform transformation
We are looking for a Senior Data Engineer to join a large-scale Data Platform transformation within a European company in the travel technology sector.
Following significant growth, the organisation is modernising its data ecosystem and building a new Azure-based platform to consolidate data currently distributed across legacy systems, cloud applications and third-party platforms.
You will join the Data Engineering team responsible for designing, building and migrating data pipelines into the new environment.
The role
You will be responsible for:
- Designing and developing scalable ETL/ELT pipelines
- Building data transformations using Python, PySpark and SQL
- Developing solutions within Azure Databricks
- Migrating and redesigning existing data pipelines
- Working with Delta Lake and Lakehouse architectures
- Implementing data quality, monitoring and testing processes
- Optimising pipelines for performance and scalability
- Supporting CI/CD and Infrastructure as Code
- Working closely with Data Architects, Analysts and other engineering teams
What we’re looking for
- Strong professional experience as a Data Engineer
- Hands-on experience with Azure Databricks
- Advanced SQL
- Good understanding of modern data architectures
- Experience working within complex data environments
Experience with Terraform, CI/CD, data platform migrations or large-scale datasets would be particularly valuable.
If you’re an experienced Data Engineer interested in joining a major Azure and Databricks transformation, we’d be interested in hearing from you.
Requirements
- Strong professional experience as a Data Engineer
- Hands-on experience with Azure Databricks
- Advanced SQL
- Good understanding of modern data architectures
- Experience working within complex data environments
Experience with Terraform, CI/CD, data platform migrations or large-scale datasets would be particularly valuable.
If you’re an experienced Data Engineer interested in joining a major Azure and Databricks transformation, we’d be interested in hearing from you.
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