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

Apply Now

Senior Data Engineer

Nucleus Financial
Glasgow
1 day ago
Create job alert
Senior Data Engineer – Nucleus Financial

Location: Glasgow, Scotland, United Kingdom


Team: Data Team | Reports to: Data Lead


Responsibilities

  • Oversee the design and development of our BI stack, focusing on data transformation and development using SQL Server and the Microsoft BI stack.
  • Develop complex self‑service data models using tabular semantic models, Power BI dashboards, and paginated reports to provide actionable insights.
  • Manage extraction and integration of data from various business systems using APIs and SFTP.
  • Maintain and enhance existing data frameworks, infrastructure, and solutions to ensure data accuracy, availability, and timeliness.
  • Conduct in‑depth peer reviews and provide feedback to ensure the quality and reliability of data solutions.
  • Lead and execute BI projects, working closely with the Product Owner to manage planning, prioritisation, and alignment with business objectives and timelines.
  • Train, mentor, and support Data Engineers and analysts, fostering continuous learning and development.
  • Actively participate in and lead Agile ceremonies, such as sprint planning, backlog refinement, and retrospectives, to improve team efficiency and output.
  • Collaborate closely with cross‑functional teams to understand data requirements, gather feedback, and deliver impactful data insights.
  • Educate and train business stakeholders on how to leverage data tools and insights effectively.

Key Skills

  • Advanced proficiency in SQL for writing, optimising, and troubleshooting complex queries; extensive experience with SQL Server and Power BI.
  • Working knowledge of Microsoft Fabric, Azure Data Factory, Synapse, or equivalent cloud tools.
  • Strong experience designing, building, and managing ETL processes and data pipelines to ensure data integrity and quality.
  • In‑depth understanding of data warehousing principles, dimensional modelling, and best practices in data architecture.
  • Proven experience developing sophisticated dashboards in Power BI, creating tabular semantic models, and writing DAX measures or equivalent.
  • Strong scripting skills in PowerShell, Python, and C# for automation and advanced data manipulation.
  • Excellent skills in developing test plans, conducting tests, and ensuring the quality and accuracy of data solutions.
  • Exceptional analytical thinking and problem‑solving skills with a proven ability to solve complex data‑related challenges.
  • Experience managing BI projects, including task prioritisation, stakeholder management, and project delivery.
  • Excellent communication and collaboration skills to work effectively with cross‑functional teams and business users.

About Nucleus Financial

We are the Nucleus Group Services Limited and we help make retirement more rewarding. At Nucleus, people come first—whether it’s our colleagues or the advisers and customers we support. We work hard, celebrate hard, and create a platform that puts the customer centre stage.


Inclusion & Diversity

Inclusion and diversity are embedded in our culture and everything we do. We focus on creating a fair, balanced, and transparent financial services sector and foster continuous learning and development for all team members.


Benefits

Non‑contributory pension, bonus, enhanced parental leave, paid time off for emergencies, health and wellbeing initiatives, and flexible working options.


How to Apply

Interested candidates should reach out to our recruitment team via the contact details on our career portal. We look forward to connecting with talented professionals who want to make a real difference at Nucleus Financial.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer – SC Cleared

Senior Data Engineer/ Scientist

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.