We are:
Wizeline, a general 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 global 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.

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.

Across both

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

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.

Snowflake

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

📌 Mid Data Engineer (Barcelona)
🏢 Wizeline
📍 Barcelona