Senior Data Engineer: Databricks Lakehouse & AI Pipelines

AgileEngine; Braga; Presencial; EUR 60 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Growth without limits

Competitive compensation

Flexibility: 100% remote

Meaningful, modern projects

Collaborative culture

Well-being & support

Resumo da oferta

AgileEngine is seeking a Senior Data Engineer in Portugal (Braga) to modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will design batch and streaming pipelines with PySpark, Delta Lake, and Databricks Workflows.

You will migrate legacy workloads to Lakehouse, ensure data parity, and leverage AI tools like Claude and GitHub Copilot to accelerate development. Strong SQL/Python, governance and security practices are required.

Qualificações

• 4+ years of professional experience in data engineering, featuring direct expertise with Apache Spark and cloud-based data architectures.
• Strong hands-on experience building data pipelines with Databricks, Apache Spark (PySpark), and Delta Lake.
• Advanced SQL and Python, with strong data modeling skills across dimensional and Lakehouse patterns.
• Experience with streaming ingestion using Structured Streaming, Auto Loader, Kafka, or Event Hubs.
• Experience with workflow orchestration (Databricks Workflows, Airflow, or Azure Data Factory).
• Experience with legacy platform migrations, ETL modernization, or managing data hygiene when porting old systems.
• Strong problem-solving, collaboration, and communication skills, including mentoring junior engineers and explaining data concepts to non-technical stakeholders.
• Familiarity with Unity Catalog, data governance, access control, and PII handling.
• Experience with dbt or an equivalent transformation framework.
• Familiarity with secure coding standards and industry security best practices.
• Experience delivering production data platforms at scale.
• Upper-intermediate English level.

Responsabilidades

• Design, build, and operate batch and streaming data pipelines on Databricks using PySpark, Delta Lake, and Databricks Workflows.
• Model and maintain a medallion (bronze/silver/gold) architecture serving analytics, reporting, and machine learning consumers.
• Migrate legacy ETL and data warehouse workloads onto the Lakehouse with validated data parity and minimal business disruption.
• Use Claude or Github Copilot as a development accelerator, generating code scaffolding, writing and reviewing tests, creating documentation and prototyping solutions.
• Write clean, well-tested Python and SQL; maintain high standards through code review and documentation.
• Optimize Spark jobs and Delta tables for performance and cost, including partitioning, clustering, caching, and cluster sizing.
• Implement data quality, lineage, and governance controls using Unity Catalog and automated validation checks.
• Debug, troubleshoot, and resolve pipeline failures, data defects, and production incidents.
• Participate in Agile or product-centric delivery practices including sprint planning and retrospectives.
• Collaborate with DevOps, platform, and analytics engineers on observability, security, and compliance best practices.

Conhecimentos

Apache Spark

Databricks

Delta Lake

SQL

Python

Structured Streaming

Kafka

Databricks Workflows

Airflow

Azure Data Factory

dbt

Terraform

secure coding

PII handling

English (Upper-intermediate)

Ferramentas

Databricks

Azure DevOps

Terraform

Dynatrace

Descrição da oferta de emprego

AgileEngine is seeking a Senior Data Engineer in Portugal (Braga) to modernize a 15-year-old data warehouse into a governed Databricks Lakehouse. You will design batch and streaming pipelines with PySpark, Delta Lake, and Databricks Workflows.

You will migrate legacy workloads to Lakehouse, ensure data parity, and leverage AI tools like Claude and GitHub Copilot to accelerate development. Strong SQL/Python, governance and security practices are required.