Senior Data Engineer: AI-Driven Pipelines (Remote)

Mindera

Porto

Hybrid

EUR 90,000 - 120,000

Full time

13 days ago

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Benefits offered by this job

Flexible hours
Remote-friendly setup

Job summary

Mindera is seeking a Senior Data Engineer in Porto to design, build, and run data pipelines moving data from sources to the warehouse in production systems with real impact. You’ll collaborate with leadership and clients, and practice transparent use of AI while maintaining rigorous review standards.

You will work with a diverse tech stack and a culture of self-organization, aiming for scalable, auditable data flows and robust governance.

Qualifications

  • Build and operate robust ingestion pipelines (batch and streaming).
  • Own storage architecture across lakehouse/warehouse and optimize for cost and speed.
  • Keep pipelines observable with orchestration, testing, alerts, and clean recovery.
  • Implement infrastructure as code and CI/CD for data workloads.
  • Agree on data contracts with producers to control schema drift and manage access/retention.
  • Produce clear documentation to ensure long-term usability of work.

Responsibilities

  • Build and operate robust ingestion pipelines (batch and streaming).
  • Own storage architecture across the lakehouse, warehouse, optimizing for partitioning, cost and query speed.
  • Maintain observability and reliability with orchestration, tests, alerts, and clean recovery.

Skills

SQL
Python
Fluent English

Tools

Airflow
Dagster
Azure Data Factory
Snowflake
BigQuery
dbt
Spark
Databricks
Kafka
Kinesis
Pub/Sub
Terraform
Docker
Kubernetes
Great Expectations
Soda
Monte Carlo
MongoDB
Google Ads
Meta
CRM APIs

Job description

Mindera is seeking a Senior Data Engineer in Porto to design, build, and run data pipelines moving data from sources to the warehouse in production systems with real impact. You’ll collaborate with leadership and clients, and practice transparent use of AI while maintaining rigorous review standards.

You will work with a diverse tech stack and a culture of self-organization, aiming for scalable, auditable data flows and robust governance.

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