Data Modeler

Birmingham
4 days ago
Create job alert

Data Modeller
Location: Birmingham, UK (5 days a week in the office)

Our client is seeking an Experienced Data Modeller to join their team, playing a key role in designing and maintaining data models that support audit and risk assessment processes. This role will involve close collaboration with auditors, business stakeholders, and IT teams to ensure data integrity and alignment with business objectives.

Key Responsibilities:

Develop and maintain logical and physical data models to support audit and risk functions.
Build and implement reporting and analytics solutions using tools such as Tableau, Power BI, Looker, or Qlik.
Design interactive dashboards that provide clear insights into audit outcomes and risk assessments.
Ensure data quality, validation, and compliance with regulatory standards.
Maintain data dictionaries, metadata, and schema documentation.
Optimise data pipelines and warehousing solutions for both structured and unstructured data.
Use SQL and data modelling tools (e.g., Erwin, Visio) to define and implement database solutions.
Improve dashboard performance and user experience through best practices in data visualisation.

What Our Client is Looking For:

A degree in Data Science, Computer Science, Information Systems, or a related field.
At least 7 years of experience in data modelling, database design, and data architecture.
Proficiency in data modelling tools such as Erwin, ER Studio, Lucidchart, or PowerDesigner.
Strong SQL skills and experience with both relational and NoSQL databases (e.g., Oracle, SQL Server, PostgreSQL, MongoDB).
Hands-on experience with reporting and analytics tools like Tableau, Power BI, Looker, or Qlik.
A solid understanding of dashboard design and data visualisation principles.
Knowledge of audit processes, risk management, and compliance frameworks (desirable).
Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies (Hadoop, Snowflake, Databricks) is a plus.
Strong analytical, problem-solving, and communication skills.
The ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Bonus Skills:

Experience in financial services, banking, or regulatory environments.
Knowledge of data governance and data lineage tools.This is an exciting opportunity to work with a forward-thinking organisation that values data-driven insights in audit and risk management. If you have the skills and experience required, we'd love to hear from you.

To apply or learn more, please get in touch.

Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business

Related Jobs

View all jobs

Data Modeler

Data Modeler - Oldbury

Market Risk Quantitative Analytics Consultant (Contract)

Senior Principal AI/ML Engineer

Senior Data Modeller - Banking & Data Warehouse

Head of Data Architecture

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.