Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Data Engineer

ICIS
London
1 month 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.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.