Senior Data Engineer — AI-Driven Data Platform Innovator

Zego

Portugal

Remote

EUR 55,000 - 70,000

Full time

5 days ago
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Benefits offered by this job

Market-competitive salary
Annual performance bonus
Share options
Private medical insurance
Pension, generous holiday
£1,000 a year to spend on getting to |

Job summary

Zego is seeking a Senior Data Engineer in Portugal to design and operate scalable data pipelines, warehouses, and streaming systems. You will work closely with Engineering, Data Science, Analytics and Product to ensure efficient data infrastructure and collaboration across teams.

The role emphasizes hands-on delivery, knowledge sharing, and contributing to the evolution of our data architecture while embracing an AI-first mindset and fast experimentation.

Qualifications

  • 4+ years as a Data Engineer in scalable data platforms.
  • Experience designing, building, and operating ETL/ELT pipelines and large-scale data architectures.
  • Hands-on with Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, Apache Spark, deployed via AWS, Docker and Terraform.
  • Ability to translate technical concepts into business value and collaborate with cross-functional teams.
  • Ambitious about AI-first approaches and eager to experiment and own delivery.

Responsibilities

  • Act as a strong technical contributor within the Data Engineering team and drive technical delivery.
  • Design, build, and maintain scalable, secure data pipelines, warehouses, and streaming systems.
  • Collaborate with analytics, data science, product to meet business data needs.
  • Review code, mentor engineers, and contribute to the data platform roadmap.

Job description

Zego is seeking a Senior Data Engineer in Portugal to design and operate scalable data pipelines, warehouses, and streaming systems. You will work closely with Engineering, Data Science, Analytics and Product to ensure efficient data infrastructure and collaboration across teams.

The role emphasizes hands-on delivery, knowledge sharing, and contributing to the evolution of our data architecture while embracing an AI-first mindset and fast experimentation.

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