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Job Title: Data Engineer (Full-Time, Remote – UK)

Location: Remote within the United Kingdom
Job Type: Permanent, Full-Time
Experience Level: 0–15 Years
Eligibility: Candidates must have the right to work in the UK. No sponsorship or visa support is provided.

About the Role

We are seeking a skilled and motivated Data Engineer to join our team in a full-time, permanent capacity. This role is open to candidates at all experience levels—from fresh graduates to highly experienced engineers. You will play a key role in designing, developing, and maintaining scalable data pipelines, architectures, and data-driven solutions that support our business and technology initiatives.

This is a fully remote position, but applicants must be based in the UK and legally eligible to work without sponsorship.

Key Responsibilities

• Design, build, and maintain scalable and reliable data pipelines and ETL/ELT processes
• Develop data models, data warehouses, and data integration solutions
• Work with structured and unstructured data across various platforms
• Collaborate with data scientists, analysts, and software engineers to deliver high-quality data solutions
• Optimize data systems for performance, reliability, and scalability
• Implement best practices for data security, data governance, and data quality
• Troubleshoot, refine, and improve existing data workflows and systems
• Support cloud-based data architecture and infrastructure initiatives

Required Skills & Qualifications

• 0–15 years of experience as a Data Engineer or in a similar role
• Strong proficiency in SQL and experience with relational databases
• Hands-on experience with data pipeline tools or ETL frameworks
• Solid programming skills in Python, Java, or Scala
• Understanding of cloud technologies (Azure, AWS, or GCP)
• Familiarity with big data tools (e.g., Spark, Hadoop, Databricks)
• Knowledge of data modeling, warehousing, and data architecture principles
• Ability to communicate effectively with technical and non-technical stakeholders
• Self-motivated, detail-oriented, and comfortable working in a remote environment
• Experience with streaming platforms (Kafka, Kinesis, or Pub/Sub)
• Knowledge of orchestration tools (Airflow, Prefect, Dagster)
• Experience with CI/CD and DevOps practices
• Understanding of data governance, metadata management, or MDM
• Exposure to machine learning pipelines or feature engineering

Job Types: Full-time, Permanent

Pay: £25,000.00-£80,000.00 per year

Benefits:

• Work from home