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Senior Data Engineer

ICIS helps companies make strategic, sustainable decisions by bringing transparency to markets across the world through data and intelligence for commodities markets.
Data
Senior Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Enterprise SaaS

Description For Senior Data Engineer

ICIS, a part of RELX, is seeking a Senior Data Engineer to join their data operations team in London. This role presents an exciting opportunity to be part of a strategic transformation focused on data and AI innovation within a dynamic market-leading global business.

The position sits within a collaborative, high-performing team with deep technical and domain expertise. The team plays a crucial role in ingesting and managing many of the organization's key datasets, working closely with Data Analysts and Data Scientists across various business areas to turn complex requirements into scalable, reliable data solutions.

As a Senior Data Engineer, you'll be responsible for designing and developing robust data pipelines, managing data infrastructure, and ensuring data quality to provide customers with the 'Right Data at the Right Time'. The role involves working with cutting-edge technologies including Python, SQL, cloud platforms (AWS, GCP, Azure), Snowflake, Airflow, and Kafka.

Key responsibilities include developing and optimizing ETL processes, maintaining data lakehouse architectures, implementing quality checks, and providing technical mentorship to junior team members. You'll collaborate with analysts, data scientists, product owners, and business stakeholders to deliver high-impact, AI-driven solutions.

The ideal candidate will bring considerable experience in Data Engineering, strong technical skills, and excellent communication abilities. While a Bachelor's degree in Engineering or Computer Science is preferred, equivalent experience is accepted. The role offers opportunities for professional growth, innovation, and the chance to work on meaningful projects that directly impact customer outcomes.

ICIS offers a supportive culture with a strong focus on innovation, technical excellence, and career development. The company helps organizations make strategic, sustainable decisions by bringing transparency to markets worldwide, providing comprehensive views of commodities markets through data and intelligence services.

This position is perfect for a senior-level data professional who wants to work on challenging problems, mentor others, and contribute to a team where their work directly impacts business outcomes. The role combines technical expertise with business acumen, offering the opportunity to shape the future of data infrastructure at a leading global organization.

Last updated 9 hours ago

Responsibilities For Senior Data Engineer

  • Design, develop, and optimize robust data pipelines and ETL processes
  • Manage and enhance data infrastructure for performance and scalability
  • Build and maintain data models, data marts, and data lakehouse architectures
  • Implement data quality checks across all data sources
  • Explore and implement advanced data technologies
  • Identify opportunities to streamline processes
  • Provide mentorship to junior engineers
  • Collaborate with cross-functional teams on data requirements

Requirements For Senior Data Engineer

Python
Kubernetes
  • Considerable experience in Data Engineering with focus on Data Management and Quality
  • Bachelor's Degree in Engineering/Computer Science preferred (or equivalent experience)
  • Deep proficiency in Python, SQL, Cloud Platforms (AWS, GCP, Azure)
  • Experience with Data Warehousing (Snowflake), Orchestration (Airflow, Rundeck), Streaming (Kafka)
  • Strong problem-solving skills and innovative thinking
  • Excellent communication skills
  • Ability to manage multiple deliverables concurrently
  • Experience in coaching and knowledge transfer

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