Mid Data Engineer (Barcelona hybrid)
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Before you apply
LocationSpain, Barcelona
Work modehybrid
Typefull-time
SeniorityMid
Experience3+ yrs
DepartmentData Engineering
Company size501–1,000 people
PostedDec 16, 2025 · 10mo ago
Verified live2d ago
At a glanceSummarised by Seekless from the posting.
3+ years operating production data pipelines
Strong SQL — window functions, complex joins, reading transformation logic written by someone else
Python for scripting, automation, and API integration
PySpark and SQL — able to read, debug, and modify existing pipelines
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
Snowflake: Query performance and an awareness of how compute cost behaves
dbt: Models, sources, tests, and incremental materializations
dbt: Project structure and how dbt fits into a deployment workflow
Airflow: Writing and maintaining DAGs, operators, scheduling, and dependency management
Airflow: Understanding retries, backfills, and idempotent task design
Incremental loading patterns, idempotency, late-arriving data, reprocessing
AWS: S3, IAM basics. Basic working knowledge of Redshift and its role in the wider architecture
Fluent English — client-facing role with stakeholders based abroad
Self-directed. Able to make progress on an unfamiliar codebase without a structured onboarding path, and comfortable asking good questions when context is missing
Clear communicator: can explain a production incident to a non-technical stakeholder and give a realistic ETA
Experience with an actual platform migration, not only greenfield work
Open table formats, particularly Iceberg and cross-platform sharing
Clickstream or web analytics data (Adobe Analytics, Google Analytics, Segment)
Experience taking over an undocumented system and stabilizing it
AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows
Skills
PySpark
SQL
Delta Lake
Databricks
Unity Catalog
Snowflake
dbt
Airflow
Python
AWS
S3
IAM
Redshift
Iceberg
Adobe Analytics
Google Analytics
Segment
AI Tooling
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 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?
Requirements
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.
Dbt
•
Models, sources, tests, and incremental materializations.
•
Project structure and how dbt fits into a deployment workflow.
Airflow
•
Writing and maintaining DAGs, operators, scheduling, and dependency management.
•
Understanding retries, backfills, and idempotent task design.
Fundamentals
•
3+ years operating production data pipelines.
•
Strong SQL — window functions, complex joins, reading transformation logic written by someone else.
•
Python for scripting, automation, and API integration.
•
Incremental loading patterns, idempotency, late-arriving data, reprocessing.
•
AWS: S3, IAM basics. Basic working knowledge of Redshift and its role in the wider architecture.
Ways of working
•
Fluent English — client-facing role with stakeholders based abroad.
•
Self-directed. Able to make progress on an unfamiliar codebase without a structured onboarding path, and comfortable asking good questions when context is missing.
•
Clear communicator: can explain a production incident to a non-technical stakeholder and give a realistic ETA.
Nice-to-have:
•
Experience with an actual platform migration, not only greenfield work.
•
Open table formats, particularly Iceberg and cross-platform sharing.
•
Clickstream or web analytics data (Adobe Analytics, Google Analytics, Segment).
•
Experience taking over an undocumented system and stabilizing it.
•
AI Tooling Proficiency: Leverage one or more AI tools to optimize and augment day-to-day work, including drafting, analysis, research, or process automation. Provide recommendations on effective AI use and identify opportunities to streamline workflows.
What we offer:
•
A High-Impact Environment
•
Commitment to Professional Development
•
Flexible and Collaborative Culture
•
Global Opportunities
•
Vibrant Community
•
Total Rewards
*Specific benefits are determined by the employment type and location.
Find out more about our culture here.