Sage 200 Consultant

Derby
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer - SC Cleared (Sage)

A market-leading Sage partner is currently looking for a Sage 200 consultant to join their implementation consultant team, due to recent growth in several projects they have won.

You will be working with Sage 200 and handling the complete project life-cycle involving pre-sales, understanding the client's business and gathering their requirement, installation and configuration of the software, data migration, go live and user support.

The ideal candidate will have experience implementing Sage 200 at a vendor(Sage) or a Sage business partner. The remote position and the successful candidate will be expected to visit the customer site when required. (Once/twice a month)

Any Sage 200 support consultant looking to cross-train as an implementation consultant will also be considered.

The ideal candidate will have the following:

Sage 200 Financial and Commercial modules experience
A proven track record of multiple Sage 200 implementations (full life-cycle)
Good knowledge of SQL servers
Manufacturing experience is a bonus
Sicon Accreditation is desirable
Excellent communication skills
Good Interpersonal Skills
A willingness to travel
Full eligibility to work in the UK This is a great opportunity for any dynamic individual with a Sage 200 background keen to progress their career as a consultant whilst maintaining a great work/life balance. There is also an opportunity for the successful candidate to cross-train to MS Dynamics in the future

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

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

Careers

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

Jobs

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.

🍪 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.