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

Apply Now

Data Migration Consultant

Brio Digital
London
8 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Senior Data Engineer

Geospatial Data Engineer | Outside IR35 | Remote

Data Engineer

Data Analyst (Property)

Sr. Data Engineer

Role; Data Migration Consultant

Rate; £400/day Outside Ir35

Duration; 6m to begin with

Location; Remote withOccasionaltravel in the UK


Role Overview:

We are seeking a talented and detail-orientedData Migration Consultantwith a strong background indata migrations,data transformations,ETL (Extract, Transform, Load)processes, andMongoDB. In this role, you will be responsible for managing and executing the migration of data from legacy systems to modern platforms, ensuring data integrity, efficiency, and seamless transition.


Key Responsibilities:

  • Lead and executedata migration projects, including data extraction, transformation, and loading (ETL) processes.
  • Work closely with stakeholders to understand business requirements, data sources, and target environments.
  • Develop and implementdata transformation strategiesto map and transform data as required by the project.
  • Ensuredata qualityandintegritythroughout the migration process.
  • Troubleshoot and resolve issues related to data migration and transformation.
  • Design and implementETL workflowsto automate data processing tasks.
  • Collaborate with development teams to integrateMongoDBwith various data sources and target platforms.
  • Provide expertise and guidance on best practices for data migrations and transformations.
  • Monitor and optimize the performance of data migration and ETL processes.
  • Document and maintain clear technical specifications, reports, and project documentation.


Required Skills and Experience:

  • Proven experience as aData Migration Consultant.
  • Hands-on experience withdata migrationsanddata transformations.
  • Strong proficiency inETL toolsand techniques, with experience automating data workflows.
  • Expertise inMongoDBdatabase management and integration.
  • Solid understanding of data structures, data warehousing, and data modeling.
  • Familiarity withcloud-based platformsand services for data storage and processing (e.g., AWS, Azure, GCP).
  • Ability to write and optimizeSQL queries.
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills to work effectively with clients and teams.
  • Strong attention to detail and ability to meet deadlines in fast-paced environments.


Desirable Skills:

  • Experience with additional databases and technologies (e.g., MySQL, PostgreSQL, Hadoop).
  • Knowledge ofPythonor other scripting languages for automation tasks.
  • Experience withdata governance, security, and compliance standards.
  • Familiarity with agile methodologies and project management tools (e.g., Jira, Confluence).


Apply now or email for more information.

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 Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

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.