Data Engineer - Senior

Data Engineer - Senior

Posted 1 day ago by Lumenalta

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Negotiable
Undetermined
Remote
United Kingdom
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Agile Methodology Airflow Amazon Elastic Compute Cloud Amazon S3 Amazon Web Services (AWS) Apache Airflow Apache Kafka AWS Lambda Cloud Computing Cloud Storage Cloud Technology Continuous Integration and Continuous Delivery Data Engineering Data Governance Data Modeling Data Processing Data Quality Extract Transform Load (ETL) Google Cloud Platform (GCP) Java (Programming Language) Python (Programming Language) SQL (Programming Language) Stakeholder Management

Summary: The role of Senior-Level Data Engineer involves designing, building, and maintaining ETL pipelines for global enterprises, focusing on large datasets and real-world impact. Candidates are expected to collaborate with various stakeholders to ensure data quality and performance. The position is fully remote, allowing for flexibility in work location. A strong background in Python or Java, along with extensive experience in data engineering, is required.

Key Responsibilities:

  • 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.

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

Detailed Description From Employer:

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

  • 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.

Ongoing recruitment – no set deadline.

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