Senior Data Engineer (Remote)
Posted Today by Lumenalta
Negotiable
Undetermined
Remote
United Kingdom
Summary: The role of Senior Data Engineer involves designing, building, and maintaining ETL pipelines while working with large datasets using Python or Java and advanced SQL. The position requires strong collaboration with data analysts, product managers, and engineers to ensure high-quality data delivery. This is a fully remote position, primarily targeting candidates based in Europe or compatible time zones. The role emphasizes ownership of data architecture and pipeline reliability, with a focus on data quality and performance.
Key Responsibilities:
- 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.
Key Skills:
- 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).
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
What We're Working On
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