Senior Data Engineer (Remote)

Lumenalta; Remote; GBP 60,000 - 80,000; Full time

Job summary

A global digital enterprise is looking for a Senior Data Engineer to design and maintain ETL pipelines. The ideal candidate will have over 7 years of experience, strong skills in Python or Java, and be comfortable working in a fully remote environment. Responsibilities include managing data quality, working with large datasets, and collaborating with cross-functional teams. Candidates must maintain a 6-hour overlap with Eastern U.S. business hours.

Qualifications

• 7+ years of experience as a Data Engineer.
• Comfortable working in remote environments.
• Experience with cloud-based storage and compute.

Responsibilities

• Design, build, and maintain reliable ETL pipelines.
• Work with large, complex datasets.
• Ensure data quality and reliability across the data platform.

Skills

Data processing with Python or Java

SQL proficiency

Data modeling knowledge

Experience with ETL pipelines

Working in agile environments

Fluent in English

Job description

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 with strong ownership of data pipelines and architecture
• Design, build, and maintain reliable ETL pipelines from the ground up
• Work with large, complex datasets using Python or Java and advanced SQL
• Build scalable and efficient data flows and transformations across multiple systems
• Partner with data analysts, product managers, and engineers to deliver high-quality, actionable data
• Ensure data quality, consistency, performance, and reliability across the data platform

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. To ensure effective collaboration with our client and team, candidates must maintain a 6-hour overlap with Eastern U.S. business hours.

This is an evergreen opening with no set deadline; we’re always excited to connect with professionals who want to help us build the future