Daniel Neaves

Senior Recruitment Consultant

Hi, I'm Dan and I'm a Senior Consultant specialising in the Data market as part of our Tech Specialisms team at Harvey Nash. 

I have broad experience within the UK and German Tech Perm markets where I have focused primarily in the Data domain. I specialised in recruiting for Senior, Director and C-level hires, for a broad variety of organisations and industries.

Example roles I recruit for Include:

  • Data Scientist
  • Data Engineer
  • Machine Learning Engineer
  • Natural Language Processing Engineer
  • Head of Data
  • Director of Data

Outside of work, I enjoy keeping fit by playing football twice a week, alongside going to the gym regularly. I also like swimming and playing tennis in my spare time. I'm very social, enjoy travelling to new places and trying out different restaurants.

The best piece of advice I've ever received is, "Love what you do and be the best at it."

Latest Jobs

£30.00 - £32.69 per hour + bonus + paid holidays
Up to £480 per day + Outside IR35
£600 - £650 per annum
West Midlands
£400 - £500 per day
Lancaster, Lancashire
£47874.00 - £55295.00 per annum + Benefits Package
Leeds, West Yorkshire
Up to £55000.00 per annum
Leeds, West Yorkshire
£400 - £500 per day
Up to £0.00 per annum
East Riding of Yorkshire
£25000.00 - £30000.00 per annum
Up to £110000.00 per annum
Newcastle upon Tyne, Tyne and Wear
£28000.00 - £32000.00 per annum + excellent benefits
Blackburn, Lancashire
Negotiable
£0.00 - £560 per day
Newcastle upon Tyne, Tyne and Wear
£90000.00 - £120000.00 per annum + excellent benefits
City of London, London
£750 - £825 per day + Umbrella/PAYE (Inside IR35)
£100000.00 - £115000.00 per annum + + Bonus and Benefits
£105000.00 - £115000.00 per annum + + Bonus and Benefits
Cambridge, Cambridgeshire
£105000.00 - £115000.00 per annum + + Bonus and Benefits
Birmingham, West Midlands
£105000.00 - £115000.00 per annum + + Bonus and Benefits
€70000 - €85000 per annum
€500 - €600 per day
£375 - £425 per day + Umbrella/PAYE (Inside IR35)
£65000 - £80000 per annum + plus benefits
City of London, London
£130000.00 - £140000.00 per annum + bonus
City of London, London
£95000 - £110000 per annum
Newcastle upon Tyne, Tyne and Wear
Negotiable
City of London, London
£200 - £260 per day + Umbrella/PAYE (Inside IR35)
City of London, London
£100000 - £120000 per annum
£0.00 - £490 per day
€250 - €380 per day
£58,596.00 - £65,814.00 per annum + Benefits Package
Lancaster, Lancashire
£39,105.00 - £45,163.00 per annum + Benefits Package
£0.00 - £450 per day
Up to £200 per day
£500 - £530 per day
Belfast, County Antrim
£200 - £260 per day + Umbrella/PAYE (Inside IR35)
Birmingham, West Midlands
£30000.00 - £35000.00 per annum + Excellent Pension
Negotiable
Edinburgh
Up to £250 per day
Up to £0.00 per annum
City of London, London
£200 - £260 per day + Umbrella/PAYE (Inside IR35)
£160000.00 - £210000 per annum
Negotiable
£300 - £350 per day
Inside IR35
Edinburgh
Up to £471 per day + Outside IR35
£500 - £575 per day
£65000 - £85000 per annum + plus benefits
Negotiable
Negotiable
City of London, London
£750 - £900 per day + Umbrella/PAYE (Inside IR35)
£600 - £650 per day + Inside IR35
£600 - £800 per day
£500 - £650 per day + Umbrella/PAYE (Inside IR35)
£0.00 - £500 per day
Negotiable
City of London, London
£80000.00 - £90000.00 per annum + bonus and benefits
Darlington, County Durham
Up to £72000.00 per annum
Negotiable
City Of Manchester, Greater Manchester
Up to £500 per day
£400 - £450 per day + Outside IR35
£80000 - £110000 per annum + Plus Benefits
Leeds, West Yorkshire
£48000.00 - £63000.00 per annum
Negotiable
Darlington, County Durham
Negotiable
£250 - £300 per day
£500 - £650 per day + Umbrella/PAYE (Inside IR35)
Negotiable
City of London, London
£50000.00 - £70000.00 per annum + bonus and benefits
City of London, London
£55000.00 - £60000.00 per annum + bonus + benefits
£90000 - £120000.00 per annum + plus benefits
City of London, London
£250 - £320 per day + Umbrella/PAYE (Inside IR35)
City of London, London
£300 - £500 per day + Umbrella/PAYE (Inside IR35)
£400 - £500 per day + Umbrella/PAYE (Inside IR35)
£650 - £800 per day + Umbrella/PAYE (Inside IR35)
£150 - £200 per day
Lancaster, Lancashire
£26,038.00 - £29,659.00 per annum + Benefits Package
£400 - £450 per day
€0.00 - €550 per day
£65000 - £85000 per annum + plus benefits
Negotiable
France
Up to £180000.00 per annum
£150000.00 - £200000.00 per annum
£90000 - £110000.00 per annum + plus benefits
City of London, London
£50000.00 - £70000.00 per annum + bonus and benefits
Huddersfield, West Yorkshire
£45000 - £51000 per annum
Huddersfield, West Yorkshire
£40000 - £48000.00 per annum
£400 - £500 per day
£750 - £850 per day + Umbrella (Inside IR35)
City of London, London
£50000.00 - £70000.00 per annum + bonus and benefits
£500 - £597 per day + Umbrella/PAYE (Inside IR35)
City of London, London
£600 - £700 per day
City of London, London
£550 - £635 per day + Umbrella/PAYE (Inside IR35)
£400 - £500 per day
West Yorkshire
£500 - £600 per day
£750 - £850 per day + Umbrella/PAYE (Inside IR35)
€0.00 - €140 per day
City of London, London
£90000 - £105000 per annum
Staffordshire
£55000 - £65000 per annum + hybrid, benefits
Up to £147.90 per day
Newcastle upon Tyne, Tyne and Wear
£700 - £800 per day
£800 - £900 per day
competitive salary, pension, bonus
Up to £625 per day + Remote
City of London, London
£100000 - £115000.00 per annum
City of London, London
£85000 - £105000 per annum
£60000 - £100000.00 per annum
City of London, London
Up to £70000.00 per annum
£550 - £700 per day + Umbrella/PAYE (Inside IR35)
£60000 - £70000.00 per annum + Plus Benefits
City of London, London
Up to £40000.00 per annum + bonus and benefits

Get in touch

If you're looking to secure your next role or make your next best hire, we'd love to help. Get in touch to speak with one of our consultants today

Latest insights from Daniel

Data Maturity: what is it and how can you use it to your company's advantage?
Data Maturity: what is it and how can you use it to your company's advantage?
What is data maturity? Data maturity is defined as an organisation's ability to manage and use data throughout its operations effectively. A data mature organisation can collect, manage and analyse data to extract meaningful insights which help the business grow. Why is data maturity so important? Data maturity is important as the more data mature a business is, the better equipped they are to identify potential areas of opportunity or threats. A popular example would be if a business is leveraging predictive and prescriptive analytics, a data-mature organisation is about to not only anticipate what will happen in the future but have a clear understanding of what actions to take. Across an organisation it can have many requirements, for example, it can predict which candidate will be the best fit for a new job opening or which suppliers are most suited for a particular product line of parts. How can you improve your data maturity? There are many approaches organisations may decide to take in order to increase their data’s maturity. The most important aspect to consider when looking at the maturity of your data is data management. In short, the better your data management is, the better your data maturity will be. However, simply improving your data management is not an easy task, especially when working within larger corporations. It’s a process that needs to be broken down into smaller pieces, that add to the bigger picture.You can improvevarious aspects of your data management by adopting some of these common processes: Define a data strategy – Develop a clear data strategy which aligns with the organisation's goals which include how an organisation intends to collect, manage, analyse and utilise Data. This also includes defining its approach to Data Governance, Data Architecture, Data Quality, Security, Data Privacy and Data Analytics. Set clear objectives and goals – Define specific and measurable objectives for improving data maturity. Important for organisations to benchmark current maturity levels and acknowledge/action areas of improvement as the data maturity level progresses. Invest in technology – Evaluation and investment in modern data management technologies that support data storage, processing and analysis. This can include Data Warehouses, Data Lakes and advanced analytics tools. It is crucial to continuously invest in technology ensuring a competitive edge and long-term value for the organisation. Monitor and measure progress – Establish KPIs and regularly monitor progress in terms of the impact of data management initiatives. A key activity that all organisations should be doing is to know where the organisation has come from in terms of data maturity, and its current level and to know the requirements to get to this point. Document best practices– Ensure best practices are well documented across the business, this is very important as this provides the footprint for an organisation to ensure its data maturity has long-term sustainability. Quote from Stephen Moffit at We Are Atmosphere: "In order to take advantage of the potential value of AI and analytics, businesses need a good level of data maturity. This means: Robust data governance and management to ensure the quality of the data being used Data intelligence across the business to enable everyone to understand, question and interpret the outcomes from AI and data analytical tools A culture that is built around the sensible use of data to achieve value and recognise opportunities in changing markets." The key benefits of ensuring data maturity Data maturity brings several key benefits to organisations as they advance their abilities to manage and leverage data effectively. Some key advantages as explained below: Informed decision-making- Mature data management practices enable organisations to access accurate, timely and relevant data. This ensures decision-makers make informed and strategic decisions based on data-driven insights rather than guesswork or hunches. Competitive advantage - Data maturity enables organisations to leverage their datasets more effectively gaining further insights into market trends, consumer behaviours and competitor strategies. This enables an organisation to adapt and innovate faster and gain that competitive edge. Innovation and adaptability - Data maturity naturally provides an organisation with a mindset of innovation and growth ambitions. It encourages experimentation, exploration and data-driven problem-solving across the organisation. Cost savings– A data-mature environment ensures an organisation optimises its data infrastructure, reduces data redundancy and eliminates inefficiencies resulting in cost savings Long-Term Sustainability- By investing in data maturity organisations lay a solid foundation for long-term success and sustainability. Final thoughts Overall data maturity is a critical aspect of an organisation's ability to harness the full potential of its data assets. In summary, achieving high data maturity is a complex process that involves multiple departments, processes and technologies to come together with a common understanding and drive for business success. About the Author: Daniel Neaves Daniel is a Senior Consultant within the Tech Specialisms practice focusing on the data market at Harvey Nash. With over 7 years of experience within the data domain, Daniel’s knowledge and expertise cover a broad space within the UK and German tech permanent markets. If you would like assistance in bringing onboard data experts who can significantly enhance your data maturity or would like to find out more about Dan, please get in touch atdaniel.neaves@harveynash.comor visit his consultant profilehere.