Data Engineer – Cloud & Pipelines

Lumenalta; Ireland; Remote; EUR 55,000 - 75,000; Full time

Job summary

A technology consulting company seeks a remote Data Engineer to design and maintain data pipelines, optimize databases, and implement scalable solutions. The ideal candidate has expertise in SQL, programming in Python or similar, and experience with cloud platforms. Join us in solving meaningful problems with clean, scalable data solutions.

Qualifications

• Expert-level SQL knowledge, including performance tuning.
• Strong programming skills in Python, Go, Java, or similar.
• Experience with data orchestration tools.
• Deep knowledge of database management systems.
• Understanding of data warehousing principles.
• Experience in API and streaming data integration.
• Hands-on experience with cloud platforms.
• Familiarity with event data collection tools.
• Strong problem-solving skills in a collaborative environment.

Responsibilities

• Design, implement, and maintain data pipelines and workflows.
• Write advanced SQL queries and optimize database performance.
• Work with orchestration tools to ensure reliable data movement.
• Develop scalable data solutions using programming languages.
• Architect and manage Postgres and BigQuery DBMS solutions.
• Build and manage integrations with APIs and streaming platforms.
• Design data warehouse models for reporting and analytics.
• Collaborate with teams to define requirements and ensure data integrity.
• Work with cloud platforms to deploy and scale data solutions.
• Implement event-tracking strategies with tools like Firebase.

Skills

SQL knowledge

Python programming

Data orchestration tools

Database management systems

Data warehousing design

API integration

Cloud platforms

Event data collection tools

Problem-solving skills

Tools

Airflow

DBT

FiveTran

Postgres

BigQuery

GCP

AWS

Azure

Job description

Join to apply for the Data Engineer – Cloud & Pipelines role at Lumenalta.

We help global enterprises launch digital products that reach millions of users. Our projects involve massive datasets, complex pipelines, and real-world impact across industries. We're seeking a Data Engineer to join our remote team and help us solve meaningful problems with clean, scalable data solutions.

What You'll Do

• Design, implement, and maintain data pipelines and workflows for batch and streaming use cases.
• Write advanced SQL queries and optimize database performance for large-scale datasets.
• Work with orchestration tools such as Airflow, FiveTran, DBT, Pub/Sub, or similar to ensure reliable data movement.
• Develop and maintain scalable data solutions using Python, Go, Java, or other programming languages.
• Architect and manage Postgres, BigQuery, and other DBMS solutions to ensure data quality, availability, and performance.
• Build and manage integrations with APIs and streaming data platforms.
• Design and optimize data warehouse models to support reporting and analytics.
• Collaborate with cross-functional teams to define requirements, ensure data integrity, and deliver actionable insights.
• Work with cloud platforms (GCP, AWS, or Azure) to deploy, monitor, and scale data solutions.
• Implement event-tracking strategies using tools such as Firebase, GA4, or similar.

What We’re Looking For

• Expert-level SQL knowledge, including performance tuning and optimization.
• Strong programming skills in Python, Go, Java, or similar languages.
• Experience with data orchestration tools (Airflow, DBT, FiveTran, Pub/Sub, or equivalent).
• Deep knowledge of database management systems (Postgres, BigQuery preferred).
• Strong understanding of data warehousing design principles and models.
• Proven experience in API and streaming data integration.
• Hands-on experience with cloud platforms (GCP, AWS, or Azure).
• Familiarity with event data collection tools (Firebase, GA4, etc.).
• Strong problem-solving skills and ability to thrive in a collaborative, fast-paced environment.

The job is 100% remote; please ensure you have a comfortable office setup at your desired work location.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering, Information Technology, and Consulting

Industries

• IT Services and IT Consulting