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

Apply Now

Vacancy for Senior Data Engineer at National Records of Scotland

Digital Preservation Coalition
Edinburgh
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

SHEQ Data Analyst

HR Data Analyst

Data Engineer

Data Analyst

  • Vacancy for Senior Data Engineer at National Records of Scotland

Vacancy for Senior Data Engineer at National Records of Scotland

30 July 2021

Edinburgh

Full-Time

Overview

National Records of Scotland (NRS) is a Non-Ministerial Department of the Scottish Government, supporting the Registrar General for Scotland and the Keeper of the Records for Scotland. Both roles are held by the NRS Chief Executive. NRS is the Scottish nation's record keeper and official source of demographic statistics – information about population, households, migration, vital events, life expectancy and electoral statistics.

NRS is going through a period of exciting change and 2022 will see the delivery of the first digital Census in Scotland. Alongside this NRS are delivering an ongoing programme of technology modernisations and improvements aligned with the Scottish Governments Digital, Cloud and Green IT Strategies.

As a Senior Data Engineer you will be part of the data team at NRS offices in Corstorphine, Edinburgh, working collaboratively across NRS teams on a variety of projects. You will implement data pipelines and the full lifecycle of data, delivering high quality digital services.

Able to execute a wide range of Dba Microsoft SQL Server and SSIS skills and demonstrate knowledge of open source tools such as R or Python.

Provide clear communications to both technical and non-technical stakeholders

Investigate problems and opportunities in existing processes and create recommendations

Collaborate with other Dba, Architecture and development teams in order to assure a stable database infrastructure.

Further Information

For further information on this vacancy please download and review the "Person Specification and Further Information for Job Applicants" which you will find below. To learn more about this opportunity, please contact Alexander McCall by email .

To apply for this post, you will need to provide the information requested below via the online application process. These must be combined into one document as the system can only accept a single document upload per application.

A CV (no longer than two pages) setting out your career history, with key responsibilities and achievements. Add to your CV your personal statement (no longer than 750 words) explaining why you consider your personal skills, qualities and experience suitable for this role, with particular reference to the criteria in the person specification.

Failure to submit a single combined document (CV and personal statement) will mean the panel only have limited information on which to assess your application against the criteria in the person specification.

When considering how your experience relates to the role, please tailor your CV and personal statement to reflect the role and the essential skills/criteria as described in the job description/person specification.


#J-18808-Ljbffr

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.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.

Seasonal Hiring Peaks for Machine Learning Jobs: The Best Months to Apply & Why

The UK's machine learning sector has evolved into one of Europe's most intellectually stimulating and financially rewarding technology markets, with roles spanning from junior ML engineers to principal machine learning scientists and heads of artificial intelligence research. With machine learning positions commanding salaries from £32,000 for graduate ML engineers to £160,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this pioneering and rapidly evolving field. Unlike traditional software engineering roles, machine learning hiring follows distinct patterns influenced by AI research cycles, model development timelines, and algorithmic innovation schedules. The sector's unique combination of mathematical rigour, computational complexity, and real-world application requirements creates predictable hiring windows that strategic professionals can leverage to advance their careers in developing tomorrow's intelligent systems. This comprehensive guide explores the optimal timing for machine learning job applications in the UK, examining how enterprise AI strategies, academic research cycles, and deep learning initiatives influence recruitment patterns, and why strategic timing can determine whether you join a groundbreaking AI research team or miss the opportunity to develop the next generation of machine learning algorithms.