Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Modeler

Experis
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Modeler - ETL, Data Warehouses, QLIK

Data Analyst / Modeler

Data Analyst / Modeler

Quantitative Engineer

Senior Quantitative Engineer

Risk Data Scientist

Location: London Job Type: Contract Industry: Enterprise Applications Job reference: BBBH394538_1737996139 Posted: about 4 hours ago

Role: Data Modeler

Location: UK Remote

Duration: 6 Months

Day rate: £410 inside IR35

Required Skills:

Experience in data architecture and modelling. Strong understanding of relational and non-relational database systems. Proficiency in data modelling tools (Erwin, SAP Power Designer). Experience with data governance and data quality practices. Understanding of cloud platforms, particularly Azure. Knowledge of data integration and ETL processes. Familiarity with data warehousing, data marts, and data lakes. Exposure to healthcare industry standards, such as FHIR, is a plus. Excellent analytical and problem-solving skills. Strong communication and collaboration abilities. Ability to work independently and as part of a team. Data Modelling: Design and implement conceptual, logical, and physical data models. Define the structure of databases, including tables, relationships, and constraints

Nice to have skills:

Data Storage and Integration: Select appropriate data storage technologies, including SQL and NoSQL databases. Design and implement data integration strategies to ensure seamless data flow. Optimise data processing and query performance. Data Governance: Develop and enforce data policies and standards to maintain data quality and consistency. Implement security measures to protect data confidentiality, integrity, and availability. Create and manage data dictionaries to document data definitions and usage. Data Product Development: Conceptualise and design data products to meet business needs. Collaborate with business analysts and end users to understand requirements and translate them into technical solutions.

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.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.