National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer

Clarksons
City of London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Company Overview
Offering a complete ecosystem of maritime services, including broking, finance, port services and research, Clarksons is at the heart of global shipping. Our unrivalled reach, expertise, and depth of experience, combined with leading research, enables us to partner with clients across every sector to meet the demands of the world’s rapidly evolving maritime, offshore, trade and energy markets. Building on our unique heritage and harnessing our insights to see further, faster, we work with our clients and communities to create strategies that have a positive impact on the industry and the world around us. Dedicated to excellence, it’s our people that drive success for our clients.

To understand more including day-to-day life at Clarksons, visit us at

www.clarksons.com

Role Summary
As part of the Digital Transformation team, you will be helping us build the best shipping data platform and reporting, enabling us to provide accurate and timely insights to the business and our clients. We’ve been building out a central data platform for the last year and have proved its worth. We are now looking for an individual to help scale the platform and accelerate its roll out across the business.

What you’ll be doing
Work with data engineers & analysts to problem solve, build & deliver data products from ideation to production.
Lead and own the full lifecycle of data engineering deliverables.
Deliver complex data flows to process external data sources to provide the company with a competitive edge.
Act as a consultant to the business to meet their needs.
Maintain existing data products to ensure reliability and high data quality to maximise the utility of data within the business.
Innovate by recommending opportunities to improve data engineering tooling, frameworks & process.
Mentor and provide guidance to more junior colleagues.
Lead workshops to knowledge share and upskill colleagues in both technical and business domains.
Building cutting edge solutions to serve data to the business and its applications quicker and in an automated fashion.

What we’re looking for
We invite applications from candidates who can demonstrate:
Drive

and self-motivation, with the desire and commitment to succeed, deliver excellence and make positive change;
Relationship building , with excellent interpersonal skills and the ability to quickly build rapport;
Collaboration , able to work well with others across diverse backgrounds to share information, develop skills, and deliver results;
Resilience

with the ability to persist and adapt;
Smart

problem-solving and analytical abilities, with a curious and inquisitive mind, and an openness to new ideas;
Professional integrity and a respect for company values.

Other requirements
Essential
Proven experience working in Data Engineering.
Proven experience with SQL, SSIS and SSAS.
Proven experience with data modelling.
Ability to create a strong relationship with stakeholders.
Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
Self-starter with strong problem-solving skills and attention to detail.
Ability to work to tight delivery timescales and to take on new information working with a team based in multiple locations.
Proven experience with understanding business requirements and translating these into technical deliverables.
Motivated to expand technical skills.

Desirable
Experience with Microsoft BI Tools such as Power BI, SSRS & SQL Server.
Experience with Azure Data Factory and Databricks (Python).
Experience working with DevOps, IaC & CI/CD pipelines (e.g. Terraform and Databricks Asset Bundles).

National AI Awards 2025

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.

How to Get a Better Data Science Job After a Lay-Off or Redundancy

Redundancy can be tough to face, especially in a competitive field like data science. But it’s important to know: your experience, analytical thinking, and modelling skills are still in demand. Across sectors like healthcare, finance, e-commerce, government and AI startups, UK employers continue to seek data scientists who can deliver value through insight, prediction, and automation. This guide will walk you through how to bounce back from redundancy with purpose and clarity—whether you're a data analyst looking to step up, a mid-level data scientist, or a machine learning specialist seeking a better-aligned opportunity.

Data Science Jobs Salary Calculator 2025: Find Out What You Should Earn in the UK

Why last year’s pay survey is already out of date for UK data scientists “Am I being paid enough?” Every data professional eventually asks that question—often after a teammate reveals a hefty counter‑offer, a recruiter shares a six‑figure opening, or a headline trumpets the latest multimillion‑pound AI investment. Yet salary guides published even twelve months ago belong in a museum. Generative‑AI hype re‑priced Machine‑Learning Engineer roles, LLM fine‑tuning turned Prompt Engineering into a genuine career path, & fresh regulation forced companies to hire Responsible‑AI Officers on senior‑scientist money. To cut through the noise, DataScience‑Jobs.co.uk distilled a transparent, three‑factor formula. Insert your role, your region, & your seniority, and you’ll get a realistic 2025 salary benchmark—no stale averages, no vague ranges. This article walks you through the formula, examines the forces pushing data‑science pay ever higher, and offers five concrete actions to boost your market value within ninety days.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.