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

Apply Now

Data Migration Consultant - ROA - Commercial CE

Boardroom Appointments
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer/Consultant

Data Engineer

Data Analyst – Senior Consultant, Assistant Manager, Manager - Advisory Consulting

Data Engineer

Data Engineer

Data Engineer

About the job Data Migration Consultant - ROA - Commercial CE

Key purpose:

If your skills, experience, and qualifications match those in this job overview, do not delay your application.The Data Migration Consultant is an experienced data migration specialist with the ability to understand integration solutions and drive results for the company. This role will be based in our London office, working closely with the Head of Technology Development. The position requires a minimum of 5 years' experience in an IT-related environment.Duties and responsibilities:Responsible for the Data Mapping and Migration of the Customer Master into the Customer Experience Module (CE)Must have experience in the Customer Experience Module as well as the Kingswaysoft application which is used to import the data via SSIS package into the Customer Experience moduleExperience in the Customer Master in F&O to understand the integration via the DualWrite interfaceManage, facilitate, and drive the extraction criteria, data cleansing, object mapping, field mapping and value mapping for the ETL processManage, facilitate, and drive the filling in of the templates by the Business for the Construct processFacilitate issue resolution where there are load errors (Defects logged in DevOps)Status reporting per functional area as and when neededEngage with business resources per stream to resolve data queriesQualifications and experience:Bachelor's degree in Computer Information Systems or a related field requiredExperience in data migration/data modeling requiredKnowledge of SQL, NoSQL databases and other technologies such as Big Data and analytics is desiredExperience developing data marts and ETL processes for multiple platforms

#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.

Jobs

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.

Jobs

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.