Senior Data Engineer

Salary £95,000

Posted 2 weeks ago

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Description
  • Location: London
  • Type: Permanent
  • Job #416

Senior Data Engineer

Company Overview: We are an innovative technology company headquartered in London, at the forefront of developing cutting-edge solutions that leverage data-driven insights. Our mission is to empower businesses through advanced technology and analytics.

Position Summary: We are seeking a talented Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will be instrumental in designing and implementing scalable data solutions that drive our innovative products and services. If you are passionate about data engineering, have advanced SQL skills, and thrive in a collaborative environment, we want to hear from you!

Key Responsibilities:

  • Design, develop, and optimize data pipelines and architectures to support business requirements.
  • Implement ETL processes for data ingestion, transformation, and storage.
  • Build and maintain data warehouses and data lakes on cloud-based platforms.
  • Collaborate with cross-functional teams to understand data needs and deliver actionable insights.
  • Ensure data quality, integrity, and security throughout the data lifecycle.
  • Continuously optimize and tune data solutions for performance and scalability.

Requirements:

  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • Proven experience (5+ years) in data engineering with advanced SQL skills.
  • Solid understanding of cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Azure Synapse Analytics).
  • Proficiency in building and maintaining ETL processes using tools like Apache Airflow, Apache Spark, or similar technologies.
  • Experience with data modeling, schema design, and optimization.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration skills.

Preferred Qualifications:

  • Experience with Python or another programming language for data manipulation and automation.
  • Knowledge of streaming data technologies (e.g., Kafka, Spark Streaming).
  • Familiarity with containerization and orchestration tools (Docker, Kubernetes).
  • Understanding of data governance and compliance standards.

Benefits:

  • Competitive salary and performance-based bonuses.
  • Flexible working arrangements including remote and office-based options in London.
  • Personal development budget for training and certifications.
  • Opportunities to work on innovative projects with cutting-edge technologies.
  • Dynamic and inclusive company culture with regular team events and social activities.
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