Data Platform Engineer – Spark, Kafka, Databricks

Job not on LinkedIn

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

HumanIT Digital Consulting

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

🤝 B2B

🎯 Recruiter

B2B • Recruitment

HumanIT Digital Consulting is a human-centered digital consulting and talent services firm that helps organizations find, onboard and grow people while delivering digital transformation and IT-related consulting. The company emphasizes people-first values and offers services to both jobseekers and hiring companies across offices in Portugal and Switzerland. HumanIT positions itself as a partner for businesses seeking human talent and for professionals seeking career opportunities in digital and IT roles.

📋 Description

• 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.

🎯 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