Data Engineer - Senior

Lumenalta; Eindhoven; Remote; EUR 60,000 - 80,000; Full time

Job summary

A tech company specializing in digital products is seeking a Senior Data Engineer to design and maintain ETL pipelines. You will work with large datasets, utilizing Python or Java and SQL, and collaborate with various stakeholders to ensure data quality. This fully remote position is open to candidates in Europe, requiring a 6-hour overlap with Eastern U.S. hours.

Qualifications

• 7+ years of experience as a Data Engineer.
• Strong skills in Python or Java for data processing.
• Proficient in SQL for querying large datasets.
• Experience with batch and/or stream data processing pipelines.
• Familiarity with cloud-based storage and compute services.

Responsibilities

• Design, build, and maintain reliable ETL pipelines from the ground up.
• Work with large, complex datasets using Python or Java.
• Build scalable, efficient data flows and transformations.
• Collaborate with analysts and developers to deliver actionable data.
• Ensure data quality, consistency, and performance across systems.

Skills

Python

Java

SQL

Data processing

Cloud-based storage (AWS, GCP)

Data modeling

Agile methodologies

English proficiency

Job description

Join to apply for the Data Engineer - Senior 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.

What You’ll Do

• Join the team as a Senior-Level Data Engineer
• Design, build, and maintain reliable ETL pipelines from the ground up
• Work with large, complex datasets using Python or Java and raw SQL
• Build scalable, efficient data flows and transformations
• Collaborate with data analysts, product managers, and developers to deliver actionable data to stakeholders
• Ensure data quality, consistency, and performance across systems

What We’re Looking For

• 7+ years of experience as a Data Engineer
• Strong skills in Python or Java for data processing
• Proficient in SQL, especially for querying large datasets
• Experience with batch and/or stream data processing pipelines
• Familiarity with cloud-based storage and compute (e.g., AWS S3, EC2, Lambda, GCP Cloud Storage, etc.)
• Knowledge of data modeling, normalization, and performance optimization
• Comfortable working in agile, collaborative, and fully remote environments
• Fluent in English (spoken and written)

Nice to Have (Not Required)

• Experience with Airflow, Kafka, or similar orchestration/message tools
• Exposure to basic data governance or privacy standards
• Unit testing and CI/CD pipelines for data workflows

This job is 100% Remote – please ensure you have a comfortable home office setup in your preferred work location.

This is a fully remote position open to candidates based in Europe or regions with compatible time zones. Candidates must maintain a 6-hour overlap with Eastern U.S. business hours.

Seniority Level

• Mid-Senior level

Employment Type

• Contract

Job Function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting