Senior Data & Analytics Lead: Spark, Azure & DataOps

Decskill; Lisboa; On-site; EUR 85,000 - 130,000; Full time

Job summary

Decskill is growing and seeking a Tech Lead for Data & Analytics to drive strategic data initiatives across the group. You will lead technical directions, optimize pipelines, and ensure integrations align with business goals.

You will mentor the analytics team, refine user stories, and maintain standards for observability and architecture. The role involves collaboration with distributed teams in Lisbon, Porto and Madrid.

Qualifications

• Experience in data engineering and big data projects required.
• Strong knowledge of Spark runtime, batch and streaming processing.
• Proficient with Hive, Impala, Spark SQL, PySpark and Scala.
• Hands-on experience with Azure Cloud services and data platforms.
• Familiarity with DS pipelines, data modeling and data versioning.

Responsibilities

• Provide technical leadership for strategic data projects at group level.
• Optimize data pipelines (batch and streaming) and integrate systems.
• Deliver business value through data-driven solutions.
• Support team growth and remove roadblocks.
• Align with corporate architecture and maintain risk awareness.
• Communicate with business to ensure successful product delivery.

Skills

Data engineering

Big Data

Apache Spark

PySpark

Scala

SQL

Spark SQL

Hive

Impala

Azure Cloud

Azure Data Lake

Synapse

Databricks

Azure Functions

Logic Apps

Key Vault

Azure Monitor

Log Analytics

Azure DevOps

CI/CD pipelines

Azure Data Factory

Data modeling

Data versioning

SAP

Data hubs

Distributed teams

Problem-solving

Tools

Azure Data Factory

Databricks

Job description

Decskill is growing and seeking a Tech Lead for Data & Analytics to drive strategic data initiatives across the group. You will lead technical directions, optimize pipelines, and ensure integrations align with business goals.

You will mentor the analytics team, refine user stories, and maintain standards for observability and architecture. The role involves collaboration with distributed teams in Lisbon, Porto and Madrid.