Data Engineering and Analytics Consultants

Data migration means moving records out of one system and into another, usually when an old system is being retired or a spreadsheet is being replaced by a database. The difficulty is rarely the moving itself, but matching fields between the two, handling records that do not fit, and proving that nothing was lost.

The usual signs are practical rather than technical. Two people produce different numbers for the same question, someone spends a day each month copying figures between systems, or a report you need does not exist because the information sits in three places. Another is that new software keeps being postponed, because connecting it to what you already run costs more than the software itself.

Probably not. The work scales down to a single set of pipelines feeding one database, which is well within reach of a business of ten or twenty people, and it often matters more at that size because there is nobody whose job is to keep the numbers straight.

Almost certainly, although it may need work first. Incomplete records, duplicates and inconsistent formats between systems are normal and are dealt with as part of the build rather than treated as a reason to delay it. An audit establishes how much cleaning is needed before anything is committed.

In most cases yes, at least in part. Models and forecasting rely on consistent historical records, and the most common reason AI projects fail to deliver anything is that the underlying data was never organised for it. The groundwork required is usually narrower than a full platform, though.

A short audit that establishes what you have and what a build would cost is £3,000. One defined piece of work, such as connecting a set of systems or moving off spreadsheets, starts at £5,000. A full platform covering every source in the business starts at £10,000.

Running costs are modest and separate from the build. Cloud hosting for a small warehouse starts at around £120 a month, and Power BI licences are about £11 per user per month. Costs rise with data volume and refresh frequency, and they are estimated before the build starts.

An audit takes one to two weeks. A defined piece of work, such as a set of pipelines feeding a warehouse, typically runs from six to sixteen weeks, depending on how many systems are involved and what state the data in them is in. Larger platforms are staged across several months.

In almost all cases, yes. Most business software offers an interface for reading data out, and where one does not exist the data can usually be extracted another way. Accounting, CRM and ecommerce systems such as Xero, Sage, Salesforce, HubSpot and Shopify are all routinely connected.

Yes, and it is a common request. We start by reviewing what already exists, since a system that is poorly documented is often sound underneath and cheaper to repair than to replace. Where a rebuild genuinely is the better option, the review establishes that before any money is committed.

It depends on whether the work ends. A UK data engineer costs around £500 a day as a contractor, before recruitment time and the risk of hiring for a skill nobody in the business can assess. For a defined build a fixed-price project is usually cheaper, while continuous internal demand justifies a hire.

Our own full-time staff, since we do not subcontract any part of a project. You work with a project manager who owns delivery from end to end and manages the developers allocated to you, and CodeLeap's founders stay involved throughout the project and afterwards for strategic advice.

Wherever you need it to be. The hosting region is chosen at the start, so data can stay in the UK or the EU where your own policies or your customers require it. The platform runs in your own cloud account, which means the keys to it stay with you.

You do. All code and intellectual property transfers to the client on payment, including the pipelines, the database structure and the documentation, and the platform runs in your own cloud account. Continued support from CodeLeap is not a condition of keeping what has been built or changing it later.