Senior Data Engineer

ICIS
London
3 weeks ago
Create job alert

Join to apply for the Senior Data Engineer role at ICIS

Join to apply for the Senior Data Engineer role at ICIS

At ICIS, our mission is to optimize the world's resources. We help companies make strategic, sustainable decisions by bringing transparency to markets across the world. We create a comprehensive view of commodities markets, providing companies with the data and intelligence to successfully navigate across global value chains every day. Our customers benefit from instant access to price assessments, reports and forecasts, a dedicated news channel and supply and demand data. You can learn more about ICIS at the link at: https://www.icis.com/explore.

About the Team

You’ll be joining a collaborative, high-performing team with deep technical and domain expertise. We work closely with Data Analysts and Data Scientists across a range of business areas, turning complex requirements into scalable, reliable data solutions. Our team plays a central role in ingesting and managing many of the organisation’s key datasets. The data pipelines we build and maintain serve as the backbone for the insights delivered to our customers. Open communication, knowledge sharing, and a strong sense of ownership are core to how we work. With a strong focus on delivering the right data at the right time, this is a great opportunity to be part of a team where your work directly contributes to meaningful outcomes for our customers.

About the Role

We have an outstanding opportunity available for a senior data engineer within our data operations team. This role will collaborate with stakeholders across business units to design, develop, and maintain the data pipelines, ensuring data quality which provides customers with the ‘Right Data at the Right Time’.

This is an exciting opportunity to be part of a strategic transformation focused on data and AI innovation within a dynamic market-leading global business. We have a supportive culture with a keen focus on innovation, technical excellence, career development and mutual support.

Responsibilities

  • Data Pipeline Development: Design, develop, and optimize robust data pipelines and ETL processes to ensure efficient data flow and integration
  • Data Infrastructure Management: Manage and enhance our data infrastructure to support performance, scalability, and long-term reliability
  • Advanced Analytics Support: Build and maintain data models, data marts, and data lakehouse architectures to support data science initiatives, advanced analytics and reporting
  • Data Quality Assurance: Implement data quality checks to maintain accuracy and consistency across all data sources
  • Technology Exploration: Explore and implement advanced data technologies and tools
  • Drive Continuous Improvement: Identify opportunities to streamline processes and improve the efficiency of our data pipelines
  • Mentor and Support Team Members: Provide guidance and mentorship to junior engineers and support team to tackle technical challenges together
  • Stakeholder Collaboration: Work closely with cross-functional teams to understand data requirements and deliver solutions that meet business needs and collaborate with Analysts, Data Scientists, product owners, and business stakeholders to deliver high-impact, AI-driven solutions.

Requirements

  • Considerable experience in Data Engineering with strong focus on Data Management and Data Quality
  • Bachelor’s Degree (Engineering/Computer Science preferred but not required); or equivalent experience required
  • Deep proficiency in Python, SQL, Cloud Platforms ((AWS, GCP, Azure). Data Warehousing (Snowflake), Orchestration (Airflow, Rundeck), Streaming (Kafka)
  • Continuous engagement with Data Science and Analytics colleagues to understand requirements for our data-assets and empower them with best possible data, to create high value analytical services
  • Ownership of assigned data products, including data model design, end-to-end data pipeline delivery, data product quality monitoring, requirements analysis and issue resolution
  • Enthusiastic attitude to explore and implement advanced data technologies and tools
  • Working with other tech teams to define data requirements for external data products e.g., APIs, Data Marketplace offerings etc.
  • Create data-to-value framework, which enables data value tracking from ingestion to customer value realisation
  • A team player who works collaboratively and possesses excellent communications skills with ability to communicate technical details in business terminology
  • Demonstrated success in managing multiple deliverables concurrently and prioritising effectively
  • Detail-orientated with strong problem-solving skills, innovative thinking and self-motivation in learning and exploring applications
  • Capable of providing coaching and support to transfer technical and data knowledge, fostering a collaborative team environment
  • Contribute to continuous improvement initiatives and process enhancements.

Learn more about the LexisNexis Risk team and how we work

Seniority level

  • Seniority levelAssociate

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology and Engineering
  • IndustriesBroadcast Media Production and Distribution and Technology, Information and Media

Referrals increase your chances of interviewing at ICIS by 2x

Sign in to set job alerts for “Data Engineer” roles.

London, England, United Kingdom 2 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 3 weeks ago

Software Engineer-Full stack (All Levels)

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 months ago

London, England, United Kingdom 1 year ago

Graduate Software Developer - Fully Remote

Hertford Heath, England, United Kingdom 5 days ago

Graduate Software Engineer 2025 - Platform

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 9 hours ago

London, England, United Kingdom 6 months ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom £55,000.00-£75,000.00 1 month ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 8 months ago

Graduate Software Engineer 2025 - RegTech

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 3 days ago

London, England, United Kingdom 1 week ago

Graduate Software Developer - Fully Remote

Basildon, England, United Kingdom 5 days ago

London, England, United Kingdom 2 years ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom $140,000.00-$180,000.00 3 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 days ago

London, England, United Kingdom 4 days ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom $140,000.00-$180,000.00 1 month ago

London, England, United Kingdom 1 month ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.