Business Intelligence Developer

Cactus Search
Glasgow
1 week ago
Create job alert

Job Description

This position is instrumental in shaping the strategic operating model of our clients' data department. The ideal candidate will possess strong technical expertise and oversee the entire design and implementation of the enterprise-wide Data Warehouse solution. Responsibilities include gathering and analysing requirements, designing and developing ETL processes, building the Data Warehouse, and creating and deploying Power BI dashboards and reports.

This role does NOT offer Sponsorship or Visa extensions. Only applications will be considered if you currently live in Scotland and have the Right to work in the UK Permanently & Indefinitely; relocators will not be considered.

Duties:

  1. Manage and deliver ETL development using SSIS, in accordance with relevant processes and quality requirements.
  2. Develop, implement and optimise SQL queries, procedures, functions, views, triggers.
  3. Test, deploy and maintain SQL projects and fixes in line with best practice.
  4. Produce reports and dashboards using Power BI, reviewing and validating data to ensure reports and dashboards are accurate.
  5. Support business users in adopting and engaging with data department outputs.
  6. Liaise with client contacts to gather and implement MI requirements as part of new business implementations.

Experience:

  1. Minimum 5 years’ experience as SQL Developer or similar role.
  2. Excellent understanding of ETL concepts, Microsoft SQL Server and T-SQL programming.
  3. Experience in developing visualisations using Power BI.
  4. Demonstrable understanding of the concepts for designing and implementing data warehouse solutions.
  5. Understanding of Kimball Methodologies.
  6. Critical thinker with problem-solving skills.
  7. Experience with cloud technologies and data science approaches would be advantageous.

#J-18808-Ljbffr

Related Jobs

View all jobs

Business Intelligence Developer

Business Intelligence Developer

Business Intelligence Developer

Business Intelligence Developer

Business Intelligence Developer

Business Intelligence Developer SQL / ETL / PowerBI

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.