Big Data Recruitment

Harnham is one of the leading global Big Data recruitment agencies. Whether it's a contract, permanent or remote position, we find great people, great Big Data jobs



SPECIALIST BIG DATA RECRUitment for DATA & ANALYTICS

Just like the Big Data specialists we place, Harnham use tried and tested models in our recruitment processes.

Harnham has actively chosen to focus on Big Data recruitment, we’ve immersed ourselves in this market and are now an integral part of this business community. Our capability has grown to provide recruitment services and advice across the Data Science, Marketing & Insight, Risk Analytics, Data & Technology and Digital Analytics areas of speciality.

BIG DATARECRUITMENT

Big Data recruitment is a key focus for us and we’re proud to say, our customers believe we’re the best at it.

We have seen unprecedented growth in the Big Data sector and are always supporting the search for junior, senior, and executive recruitment across Big Data. As global leaders, we operate in four offices globally, recruiting for roles across the UK, US, Benelux, France, Germany, the Nordics and Spain. 



PERMANENT, CONTRACT & REMOTE BIG DATA RECRUITMENT

We have one of the largest talent networks of Data & Analytics are uniquely placed to offer bespoke solutions whatever your hiring needs are.

Our tailored approach means we are able to deliver best in class Big Data professionals every time. Whether it’s entire project teams, remote hiring and onboarding or just filling in the gaps, we have a solution to fit your requirements. Gain access to one of the largest talent networks of Data Scientists across the UK, Europe and the US.


Latest Jobs

Salary

£70000 - £80000 per annum

Location

Birmingham, West Midlands

Description

Up to £80,000 + Competitive bonus & benefits

Salary

£70000 - £90000 per annum

Location

London

Description

Exciting new opportunity to join an exciting Fintech!

Salary

£70000 - £90000 per annum

Location

London

Description

Exciting Data Engineering role where you will have full autonomy across multiple projects and products!

Salary

£40000 - £50000 per annum

Location

Birmingham, West Midlands

Description

Exciting Data Engineering role where you will have full autonomy across multiple projects and products!

Salary

€40000 - €80000 per annum

Location

Amsterdam, North Holland

Description

Met deze rol als Data Engineer kun je je vaardigheden uitbreiden en gebruiken in een groeiend team dat werkt naast een van de grootste datasets in Nederland.

Salary

£60000 - £80000 per annum

Location

London

Description

New opportunity to help drive a new data-focused financial crime team at a leading international bank

Salary

US$150000 - US$175000 per year

Location

New York

Description

Are you a Data Engineer who lives and breathes Marketing?

Salary

5600kr - 6400kr per day

Location

Oslo

Description

As a Data Engineer you will be developing solution design, data models and deliver data products for a leading Telecommunications company.

Salary

€55000 - €70000 per annum

Location

Paris, Île-de-France

Description

Société spécialisée dans les jeux vidéo, présente à l'international, recrute aujourd'hui au sein de sa filiale parisienne, un SENIOR DATA ENGINEER.

Salary

€50000 - €60000 per annum

Location

Paris, Île-de-France

Description

En plein développement, cette entreprise de conseil en marketing recherche un Data Engineer pour rejoindre son équipe

Salary

US$120000 - US$130000 per annum + Additional Benefits

Location

Cincinnati, Ohio

Description

My client in Ohio are looking for big data engineering experts looking to join a learning-based cutting edge environment to grow technically!

Salary

€50000 - €57000 per annum

Location

Paris, Île-de-France

Description

Cette agence spécialisée dans les métiers data, recherche un DATA ARCHITECT pour accompagner un de ses clients sur une mission liée au RGPD

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

Visit our Blogs & News portal or check out our recent posts below.

Why it is hard to build a Big Data team

Why it is hard to build a Big Data team

Increasingly, I speak to managers who are adopting big data tools and developing PoCs to prove how they can make use of them. Just last week I spoke to a data architect who mentioned that if he didn’t get exposure to big data tech sooner rather than later, his current RDBMS skills may become redundant within the next few years. While that is likely an exaggeration, it is certainly an interesting point. Companies that would have never previously had the capability to interpret ‘Big Data’ are now exploring a variety of NoSQL platforms. In particular, the massive performance benefits gained from Spark and real-time/streaming tools have opened up a whole new world beyond just MapReduce. I don’t claim to be a data engineer, but as a recruiter for this sector, what I do is spend all day, every day interacting with big data developers, architects and managers (as well as keeping a close eye on the latest Apache incubator projects). Due to this, I have seen some recurring themes that have become trends when companies look to create and build their big data teams that are coming to the fore. Candidate demand The demand for Big Data professionals is very much a present day issue as the data companies have grand plans for is waiting for the right data developer to use the best tech to extract valuable insights from it. The best candidates receive massive interest, often gain multiple offers from a range of companies. Your business is now no longer just competing with large corporations such as Facebook, Twitter or Yahoo. Startups and SMEs are also vying for the best candidates. Candidates are seeing pay rises twice that of the normal rate, as illustrated in our salary guide. Candidate shortage The number of candidates with hands-on, production level Big Data experience is incredibly limited. We go to great lengths to find the candidates who can add real value to companies. The growth and exciting future for the big data industry has led to increased interest in big data jobs, particularly for those from RDBMS or software. engineering backgrounds. This leaves the industry in a difficult predicament: high demand + low supply = massive competition. There are countless examples of companies that have failed to recruit a Big Data team after a year of looking. Competition to get ahead and stand out Planning - Companies need to have a data road map detailing their future plans. Candidates want to clearly know what they are getting into and what to expect from a job. Innovation - Why get stuck on batch processing? The most exciting positions that candidates love are in data innovations teams, playing with real-time/streaming tech and new languages. Personal development, growth and training – with the data science market experiencing similar growth, many big data engineers are looking for a job that not only offers the chance to work with machine learning and similar fields; but training, mentoring towards clear career progression as standard. Speed – the length of the interview process is often seen as a reflection of the amount of red tape developers have to go through to get a job. The longer and more convoluted the process, the more put off some people may be. Complacency – don’t rest on your laurels, it’s unlikely that you’ll get 10s of CVs through when you are looking to fill a data role, so when you find a candidate you like, move swiftly to show your interest to them as quality candidates don’t come around often. By implementing these small but effective improvements to your recruiting process and how you develop data talent will see you create a team that is a success in this ever more digital analytics landscape. Companies who don’t create and nurture strong, dynamic teams will fall by the wayside. It’s Harnham’s job to help you achieve this goal. Get in touch with us to tell you how. T: (020) 8408 6070 E: info@harnham.com

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