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Data Platform Engineer – Spark, Kafka, Databricks
Location
Portugal
Posted
4 days ago
Salary
€2.5K - €3.4K / month
Seniority
Senior
Job Description
Data Platform Engineer – Spark, Kafka, Databricks
HumanIT Digital Consulting
• Join a platform engineering team responsible for the scalable data infrastructure that underpins both product and analytics workloads globally. • Work spans distributed processing, streaming pipelines, orchestration, data quality, and observability — with full ownership of the components you build. • Collaborate closely with Data and ML Engineers and work within a modern lakehouse architecture. • CI/CD, IaC, and engineering best practices are first-class concerns, not aspirations.
Job Requirements
- 3–8 years of hands-on experience in data pipelines and cloud data infrastructure (Mid: 3–5 yrs / Senior: 5–8 yrs)
- Python at production-grade, advanced level — not scripting, engineering
- SQL with strong command of complex queries and performance tuning
- Hands-on experience with Apache Spark or Apache Flink for distributed data processing
- Kafka or equivalent streaming platform experience in production environments
- Solid experience with at least one major cloud data platform: AWS, GCP, or Azure
- Proficiency with a data lakehouse or warehouse technology: Databricks, Snowflake, BigQuery, or Redshift
- Pipeline orchestration with Apache Airflow, Prefect, or Dagster
- CI/CD for data workflows: dbt, Git, and automated testing practices
- Infrastructure as Code with Terraform or Pulumi
- Hands-on experience with data quality and observability tooling (Great Expectations, Monte Carlo, or equivalent)
- English: B2 (Upper Intermediate) — mandatory
- Based in Portugal — mandatory. Portuguese nationals or residents strongly preferred.
Benefits
- 15th month salary
- Health insurance covering your family
- Birthday off
- Mobility program for digital nomads
- Real work-life balance
- Full benefits
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