Senior Data Engineer — AI-Driven Data Platform

Planet Shared Services Centre Sp z.o.o.; Porto; On-site; EUR 55,000 - 75,000; Full time

Benefits offered by this job

Health insurance

Job summary

Planet is seeking a Senior Data Engineer on a fixed-term contract to build and evolve a modern data platform. You will design scalable ELT/ETL pipelines, integrate new data sources into Snowflake, and implement dbt-based transformations to power analytics, AI, and operations.

You will mentor engineers and contribute to governance and scalable architecture. You will collaborate with data teams and stakeholders to deliver trusted data products while maintaining security, compliance, and cost

Qualifications

• Extensive experience with modern data platforms and cloud data services.
• Proven track record delivering ELT/ETL pipelines in production.
• Advanced SQL skills for large datasets.
• Experience with Fivetran and dbt.

Responsibilities

• Design, develop, and optimise scalable data pipelines.
• Lead integration of new data sources into Snowflake.
• Implement ETL/ELT for analytics, AI, and operational workloads.
• Define ingestion patterns for incremental, CDC, full refresh, and real-time data.
• Design and operate reverse ETL pipelines to deliver trusted data products.
• Drive platform reliability, performance, observability, and cost optimisation.
• Design and maintain dbt-based transformation frameworks.
• Mentor engineers and promote governance, standards, and best practices.

Skills

Snowflake

Databricks

Redshift

BigQuery

ELT/ETL pipelines

Advanced SQL

Fivetran

dbt

Dimensional modelling

Data quality

Observability

CI/CD

Infrastructure as Code

Cloud platforms (Azure/AWS/GCP)

Data governance

Problem-solving

Architectural decisions

Tools

Git

CI/CD pipelines

IaC

Job description

Planet is seeking a Senior Data Engineer on a fixed-term contract to build and evolve a modern data platform. You will design scalable ELT/ETL pipelines, integrate new data sources into Snowflake, and implement dbt-based transformations to power analytics, AI, and operations.

You will mentor engineers and contribute to governance and scalable architecture. You will collaborate with data teams and stakeholders to deliver trusted data products while maintaining security, compliance, and cost