Remote Data Engineer — Databricks, Snowflake & Pipelines

Conclusion Lifecycle; Portugal; Remote; EUR 55,000 - 90,000; Full time

Benefits offered by this job

Possibility of remote work

Continuous training & certifications

Internal mobility program

Career development planning

Exposure to emerging technologies

Job summary

Conclusion Lifecycle is seeking a Data Engineer to join one of our Nearshore teams delivering services to international clients across Europe. You will manage the data lifecycle, ensuring reliable, efficient data platforms while collaborating with engineers and stakeholders to improve data quality and automation.

You will work with Databricks, Snowflake and multiple cloud platforms, shaping data models and analytics-ready datasets, and advancing DevOps practices across data solutions.

Qualifications

• Experience in Data Engineering with modern data platforms.
• Proficient in SQL and/or Python for data solutions.
• Experience with Databricks and Snowflake in data pipelines.
• Proficient in 3NF, dimensional modeling or Data Vault.
• Experience with one major cloud: Azure, AWS or GCP.
• Knowledge of batch/streaming architectures and data quality.

Responsibilities

• Design, build and maintain reliable data pipelines on cloud platforms using Databricks.
• Develop batch and streaming data solutions for large volumes of data.
• Translate requirements into 3NF/Dimensional models or Data Vault.
• Work with Databricks and Snowflake to deliver analytics-ready datasets.
• Implement validation, monitoring and error-handling for data quality.
• Apply DevOps/CI/CD to automate testing, deployment and release processes.
• Collaborate with stakeholders, analytics engineers and data scientists.
• Identify opportunities for performance, cost efficiency and innovation.
• Support data-driven improvements of processes.
• Share knowledge within the team.

Skills

SQL

Python

Databricks

Snowflake

Data Modelling

Azure

AWS

GCP

CI/CD

Data Quality

English

Job description

Conclusion Lifecycle is seeking a Data Engineer to join one of our Nearshore teams delivering services to international clients across Europe. You will manage the data lifecycle, ensuring reliable, efficient data platforms while collaborating with engineers and stakeholders to improve data quality and automation.

You will work with Databricks, Snowflake and multiple cloud platforms, shaping data models and analytics-ready datasets, and advancing DevOps practices across data solutions.