We Are

Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a general community of innovators, we foster a culture of growth, collaboration, and impact.

With the right people and the right ideas, there’s no limit to what we can achieve

Are you a fit?

Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:

Responsibilities

Existing platform (Databricks)

• Keep production pipelines running: ingestion, transformation, and delivery to downstream consumers.
• Diagnose and resolve pipeline failures and data quality issues, often without documentation to fall back on.
• Reverse-engineer and document existing transformation logic and business rules — this is the input the migration depends on.
• Migrate legacy tables from Hive Metastore to Unity Catalog.
• Maintain Iceberg-enabled table sharing between Databricks and Snowflake.

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New development (Snowflake, dbt, Airflow)





• Build and test dbt models, including incremental materializations and data tests.
• Develop and maintain Airflow DAGs for orchestration.
• Validate that migrated pipelines produce output equivalent to the Databricks versions.
• Contribute to Snowflake modeling, performance, and cost decisions.

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Across both

• Work directly with client stakeholders on technical topics, alongside the team lead.

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Technical Requirements

Databricks

• PySpark and SQL — able to read, debug, and modify existing pipelines. Deep Spark tuning is not required.
• Delta Lake: MERGE/upsert patterns, table properties, OPTIMIZE, partitioning.
• Databricks Workflows, cluster configuration, job troubleshooting.
• Unity Catalog: catalogs, schemas, grants, lineage, and the metastore model.

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Snowflake

• Warehouses, roles and grants, and the general operating model.
• Query performance and an awareness of how compute cost b

📌 Data Engineer (Barcelona)
🏢 Wizeline
📍 Barcelona