Clients

What We Do

Put simply, we deliver the most suitable and highly skilled professionals into your Data & Analytics team.

Whether it is Marketing & Insight, Risk Analytics, Data & Technology or Digital Analytics, for the team at Harnham it is key to fully explore and understand the career aspirations of our candidates. We do this whilst developing an in-depth knowledge of each marketplace and its emerging trends, as well as the different types of organisation that we work with and their diverse skill requirements. Only then, once we have the full picture, are we able to deliver resourcing solutions that ensure the very best outcome for all our customers.

HOW We Do IT

We offer our clients a complete recruitment solution across the breadth of Data & Analytics disciplines.

Our original business focus was within UK Data & Analytics but we have expanded to specialise in recruitment across a much wider variety of roles throughout the USA, along with the UK and Europe. Our continued focus on analytics means we gain valuable and current market knowledge along the way, ensuring we can offer you a truly specialist focus, which is second to none within our marketplace. We manage permanent and contract resourcing for all skills within Data & Analytics and, as members of APSCo, you are guaranteed a service based on excellence, best practice, quality, integrity and expertise.

What
sets us apart

We are here to make your recruitment process simple, easy and ultimately successful for everyone.

Our recruitment solutions are determined by tried and tested methods to ensure an effective solution for all concerned. Our focus on establishing networks of skilled individuals, as well as knowing our client businesses, culture and skill requirements guarantees we have a high success rate on our placements. 


Latest Jobs

Salary

€50000 - €75000 per annum

Location

Barcelona

Description

If you have experience with cloud tools such as AWS or Google Cloud and Big Data tools like Hadoop this role is perfect for you.

Salary

€50000 - €60000 per annum + Flexibility and remote work.

Location

Madrid

Description

Experienced Senior Data Engineer is required in Madrid to become involved in one of the most complex projects they have ever faced.

Salary

€55000 - €65000 per annum + Flexible workdays

Location

Barcelona

Description

Sr. Machine Learning Engineer. Vacancy open for a specialised Machine Learning engineer with deep knowledge of Machine Learning Models.

Salary

£20000 - £45000 per annum + commission + benefits + bonus

Location

South West London, London

Description

Apply now to be part of our 2020 Graduate Scheme, with start dates both in the Spring and Summer.

Salary

550000kr - 650000kr per annum

Location

Stockholm

Description

Do you have a burning interest for customer relationships and excellent interpersonal skills? This is an exciting opportunity to put your skills into practice!

Salary

€70000 - €80000 per annum

Location

München (80335), Bayern

Description

Nutze deine Chance deine Data Science Skills gewinnbringend zur Steigerung der Kundenzufriedenheit einzubringen!

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.

The Top Trends to Watch in Big Data & Analytics

Having a Data Strategy Plan for your business is no longer a nice-to-have. It is a must have, and in most circles is mission-critical to success. Where terms used to be fused (e.g. AdTech, MarTech, FinTech, etc.), infrastructures are now merging to create better and more powerful opportunities to better serve business and the day-to-day tasks of our personal lives. Data continues to change the landscape of our world and, as we look forward to the future, this shows no sign of slowing. Here are some of the biggest trends shaping Data Analytics right now: A Smart World: IoT, Conversational Analytics, and NLP It’s estimated that by 2020, there will be around 30 billion IoT connected devices. Think beyond smart houses and smart cars to video doorbells, smart refrigerators and toasters, setting your thermostat by remote and beyond. As this cadence of progress marches forward, IoT will no longer be a hardware challenge, but a data challenge.  And according to a Gartner report on Data Analytics trends, it’s estimated 50 percent of analytical queries will be generated via search, voice, or NLP by 2020. Will this make Data Analytics more approachable for the everyman?  Augmented Analytics Is Augmented Analytics poised to be the next big thing? With a market valued at US$8.4 billion just a couple of years ago, it’s estimated to grow to US$22.4 billion by 2025. Using Machine Learning and NLP to automate Data preparation for sharing, Augmented Analytics could redefine the way we approach our Data. Cloud Continues to Come of Age Cloud IT infrastructure may already be mainstream, but with spending expected to reach US$82.9 billion by 2022, and with over half all software, services, and technology expected to connect to the Cloud in the same timeframe, expect the conversation around the Cloud to keep growing. Data Science Roles Evolve into Specialties  Frequently, the term Data Scientist is used to refer to anything to do with Data. From gathering and collecting to developing metrics and offering Data insights and forecasting. But as Data teams became less siloed and IT infrastructures became more specialised, the role has evolved into more specific functions, often with a Machine Learning or NLP focus. However, this evolution didn’t stop at these specifics.  It’s even made room for those with no programming background. From Marketing Analysts who focus on the customer journey to Business Analysts and Communications Directors who can utilize their soft skills to explain Data professionals’ findings. Whether you’ve got a programming background or an interest in how Data fuels business, the world of Data has opened up.  Have we reached the end of the beginning? As we find ourselves on the cusp of the next generation of Data & Analytics in both our personal and professional lives, we spoke to Daniel Levine, Trends Expert and Keynote Speaker to gather his thoughts. Here’s what he had to say: "The biggest overall trend I'm seeing for Data in the coming decade is all about ownership, transparency, privacy, and governance. Data famously wants to be free, but the opposite has happened as companies across the industrial spectrum have scooped it up and siloed it away. The 2020s will create unprecedented amounts of Data from biometric recognition, deep learning, digital streaming, smart appliances and more. And ownership will be shared with -- if not controlled by -- individuals rather than governments and corporations. Blockchain will play a pivotal role in this, offering individuals the ability to safely take control of their own Data.  Many governments, led by the liberal democracies of Europe, will enact legislation that aligns with new realities and new technologies that empower both institutions and individuals to understand and control their own Data. The frightening alternative that, when it comes to Big Data, we have reached the end of the beginning whereby a totalitarian dystopian future is nigh." If you’re interested in Big Data & Analytics, we may have a role for you. Take a look at our current opportunities or get in touch with one of our expert consultants to find out more.   

What defines a Data Architect?

Data Analyst. Data Wrangler. Data Architect? If you like pulling together threads of a company’s Data into one cohesive point, you may want to consider a Data Architect role. But what exactly is a Data Architect and how does it differ from a Data Engineer? Data Architect vs. Data Engineer As businesses continue to combine their Data and business strategies into one, they are beginning to understand to the need for a variety of Data Analysts. But as important as it is to have someone build your platform and begin pipeline processes, there is also need for someone with vision. Someone who can see patterns and designs. Someone who has end-to-end vision and can see how the patterns flow through your processes. This is your Data Architect. Data Engineers, on the other hand, lay the foundation for your Data platform. They draft the blueprint. After all, you can’t build a house without a blueprint first, right? The Data Engineer is at the beginning of the process, so the rest of the team can do their parts. But it’s the Data Architect who pulls it all together. THE ROLE OF THE DATA ARCHITECT  If you’re considering your next career move and wondering if Data Architecture is for you, here are some typical requirements. A typical Data Architect will: Meet with stakeholders to understand business needs and translate them into technical requirements using ETL techniques to develop Data ArchitectureUnderstand their full Data lifecycle to provide technical architecture leadershipDesign a real-time data pipeline ecosystem and how to make it scalable usingDevelop Big Data Architecture in an AWS environmentBe educated to a degree level in a numerate discipline (Mathematics, Statistics, Computer Science, Computer Engineering)• Have proven experience in a commercial environmentHave advanced Cloud Computing Ecosystem experience with AWS (GCP or Azure also considered)Have proven Big Data Ecosystem experienceHave proven Big Data Architecture experience in a commercial environment Have proven Data Engineering experience in a commercial environment Though the likes of Google, IBM, and others have ramped up their education efforts, and online courses traditional universities offer a variety of Data Science degrees, there is still a shortage of professionals in the industry. So can businesses simplify and automate processes without the right people in place? Businesses Step Up Their Data Strategies Though there are easier ways to get the information a business needs through rented predictive modelling or an already drafted Data Science model, it doesn’t give the true value of Data. Add in new regulations, requirements, and new Data which offer new insights, and the impact on business is profound.   It’s time for business to start ensuring that their Data teams are treated as critically as possible. Time to lay a path of progression, a pipeline, of systems and processes for the creation and production of Data. After all, simply optimising your Data will only get you so far. Enterprise-wide Data systems are more than wrangling and analysing Data.  Most importantly, businesses need to ensure they have the right people in place. They also need to understand what they need and why they need it. This is a key part of Data Strategy and with the right people in place, can put your business ahead of the competition.  Digging Deeper into Requirements for Top Talent While the standard requirements for a Data professional are to be educated to a degree level in things like Computer Science and Mathematics, technical skills, and experience within certain industries, for the natural progression from Data Analyst to Data Architect, there’s a bit more nuance to consider. Whether your business is just getting started in Data Science or you’re ready to start growing an existing team, there are some things you may want to focus on when looking for your Data Architect role. Define and determine how to keep projects streamlined with repeatable processes. Pivot between guiding team members through the pipeline and explaining insights to executives and stakeholders. Determine the right format for the right project. Determine when and when not to use automation to integrate Data. Visualise and extract models to predict future events and describe the process. In other words, be able to interpret Data to ensure reliability of the best approach. With the right talent in place, your teams can collaborate and build on their shared expertise to ensure Data is analysed and understood to the best benefit of your business. If you like solving puzzles, pulling disparate threads together into organised systems, and have experience as analysing and collecting Data, we may have a role for you.  Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.  

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