AWS Data & Analytics Recruitment

Harnham is the AWS Data and Analytics recruitment agency of choice. Whether it's a contract, permanent or remote position, we find great people great AWS jobs



HARNHAM is the leader in Amazon Web SERVICES recruitment FOR DATA & ANALYTICS

Just like the AWS Data & Analytics professionals we place, Harnham use tried and tested models in our recruitment processes.

Harnham has actively chosen to focus on Data & Analytics 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.


Amazon Web SERVICES RECRUITMENT

Whatever AWS roles you are looking to hire, we've got a proven track record of recruiting AWS Administrators, AWS Analyst, AWS Big Data Architects, AWS Developers AWS DevOps Jobs, AWS and AWS Engineers.

We have seen unprecedented growth in the Amazon Web Services sector and are always supporting the search for junior, senior, and executive recruitment across Data & Technology, Data Science, Digital Analytics, Life Science Analytics, Marketing & Insight, Risk Analytics. 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 AWS 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 Amazon Web Services data and analytics 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 AWS Data & Analytics across the UK, Europe and the US.


Latest Jobs

Salary

£70000 - £80000 per annum + Additional Benefits

Location

London

Description

Join the fastest growing Financial Services companies, providing thousands of products to customers throughout the UK.

Salary

£65000 - £70000 per annum

Location

South East England

Description

Harnham are partnered with an insurance company who are looking for a Data Engineer to join their subsidiary to help build out their AWS serverless platform.

Salary

£30000 - £45000 per annum + Additional Benefits

Location

Leeds, West Yorkshire

Description

This is your chance to join a growing challenger bank, looking for an enthusiastic Report Writer to join their development team.

Salary

£75000 - £80000 per annum

Location

London

Description

A new and exciting opportunity to work within a well-known global media company has come available.

Salary

£45000 - £65000 per annum + Additional Benefits

Location

Leeds, West Yorkshire

Description

This is your chance to join a growing challenger bank, looking for an enthusiastic Report Writer to join their development team!

Salary

€70000 - €80000 per annum

Location

Amsterdam, North Holland

Description

Are you looking for a new role as a Senior Data Scientist? If so, this role will definitely interest you!

Salary

£70000 - £80000 per annum + +benefits

Location

London

Description

An opportunity to work in a growing team within an iconic and rapidly expanding tech focused e-commerce business.

Salary

£70000 - £75000 per annum

Location

London

Description

Harnham is partnered with a disruptive Pricing Consultancy who are looking for a Senior Data Engineer to help build their AWS serverless platform.

Salary

£80000 - £100000 per annum + Additional Benefits

Location

London

Description

Join a disruptive challenger bank and one of the first financial services companies, in the UK, to move all of their data into the AWS cloud.

Salary

Up to £500 per day

Location

London

Description

An opportunity to work on a SASS to AWS migration and automate process using within GCP using Python

Salary

£70000 - £80000 per annum

Location

London

Description

Looking for: A Data Engineer with strong Scala and Spark experience.

Salary

€70000 - €90000 per annum

Location

Amsterdam, North Holland

Description

Leid een ambitieus team van datawetenschappers in het hart van de Nederlandse hoofdstad!

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.

Weekly News Digest - 18th-22nd Jan 2021

This is Harnham’s weekly news digest, the place to come for a quick breakdown of the week’s top news stories from the world of Data & Analytics. KDNuggets: 20 core Data Science concepts for beginners The field of Data Science is one that continuously evolves. For Data Scientists, this means constantly learning and perfecting new skills, keeping up to date with crucial trends and filling knowledge gaps.  However, there are a core set of concepts that all Data Scientists will need to understand throughout their career, especially at the start. From Data Wrangling to Data Imputation, Reinforcement Learning to Evaluation Metrics, KDNuggets outlines 20 of the key basics needed.  A great article if you’re just starting out and want to grasp the essentials or, if you’re a bit further up the ladder and would appreciate a quick refresh.  Read more here.  FinExtra: 15 DevOps trends to watch in 2021 As a direct response to the COVID-19 pandemic, there is no doubt that DevOps has come on leaps and bounds in the past year alone. FinExtra hears from a wide range of specialists within the sector, all of whom give their opinion on what 2021 holds for DevOps.  A few examples include: Nirav Chotai, Senior DevOps Engineer at Rakuten: “DataOps will definitely boom in 2021, and COVID might play a role in it. Due to COVID and WFH situation, consumption of digital content is skyrocket high which demands a new level of automation for self-scaling and self-healing systems to meet the growth and demand.” DevOps Architect at JFrog: “The "Sec'' part of DevSecOps will become more and more an integral part of the Software Development Lifecycle. A real security "shift left" approach will be the new norm.” CTO at International Technology Ventures: “Chaos Engineering will become an increasingly more important (and common) consideration in the DevOps planning discussions in more organizations.” Read the full article here.  Towards Data Science: 3 Simple Questions to Hone Python Skills for Beginners in 2021 Python is one of the most frequently used data languages within Data Science but for a new starter in the industry, it can be incredibly daunting. Leihua Yea, a PHD researcher at the University of California in Machine Learning and Data Science knows all too well how stressful can be to learn. He says: “Once, I struggled to figure out an easy level question on Leetcode and made no progress for hours!” In this piece for Towards Data Science, Yea gives junior Data Scientists three top pieces of advice to help master the basics of Python and level-up their skills. Find out what that advice is here.  ITWire: Enhancing customer experiences through better data management From the start of last year, businesses around the globe were pushed into a remote and digital way of working. This shift undoubtedly accelerated the use of the use of digital and data to keep their services as efficient and effective as possible.  Derak Cowan of Cohesity, the Information Technology company, talks with ITWire about the importance of the continued use of digital transformation and data post-pandemic, even after restrictions are relaxed and we move away from this overtly virtual world.  He says: “Business transformation is more than just a short-term tactic of buying software. If you want your business to thrive in the post-COVID age, it will need to place digital transformation at the heart of its business strategy and identify and overcome the roadblocks.” Read more about long-term digital transformation for your business here.  We've loved seeing all the news from Data and Analytics in the past week, it’s a market full of exciting and dynamic opportunities. To learn more about our work in this space, get in touch with us at info@harnham.com.

Using Data Ethically To Guide Digital Transformation

Over the past few years, the uptick in the number of companies putting more budget behind digital transformation has been significant. However, since the start of 2020 and the outbreak of the coronavirus pandemic, this number has accelerated on an unprecedented scale. Companies have been forced to re-evaluate  their systems and services to make them more efficient, effective and financially viable in order to stay competitive in this time of crisis. These changes help to support internal operational agility and learn about customers' needs and wants to create a much more personalised customer experience.  However, despite the vast amount of good these systems can do for companies' offerings, a lot of them, such as AI and machine learning, are inherently data driven. Therefore, these systems run a high risk of breaching ethical conducts, such as privacy and security leaks or serious issues with bias, if not created, developed and managed properly.  So, what can businesses do to ensure their digital transformation efforts are implemented in the most ethical way possible? Implement ways to reduce bias From Twitter opting to show a white person in a photo instead of a black person, soap dispensers not recognising black hands and women being perpetually rejected for financial loans; digital transformation tools, such as AI, have proven over the years to be inherently biased.  Of course, a computer cannot be decisive about gender or race, this problem of inequality from computer algorithms stems from the humans behind the screen. Despite the advancements made with Diversity and Inclusion efforts across all industries, Data & Analytics is still a predominantly white and male industry. Only 22 per cent of AI specialists are women, and an even lower number represent the BAME communities. Within Google, the world’s largest technology organisation, only 2.5 per cent of its employees are black, and a similar story can be seen at Facebook and Microsoft, where only 4 per cent of employees are black.  So, where our systems are being run by a group of people who are not representative of our diverse society, it should come as no surprise that our machines and algorithms are not representative either.  For businesses looking to implement AI and machine learning into their digital transformation moving forward, it is important you do so in a way that is truly reflective of a fair society. This can be achieved by encouraging a more diverse hiring process when looking for developers of AI systems, implementing fairness tests and always keeping your end user in mind, considering how the workings of your system may affect them.  Transparency Capturing Data is crucial for businesses when they are looking to implement or update digital transformation tools. Not only can this data show them the best ways to service customers’ needs and wants, but it can also show them where there are potential holes and issues in their current business models.  However, due to many mismanagements in past cases, such as Cambridge Analytica, customers have become increasingly worried about sharing their data with businesses in fear of personal data, such as credit card details or home addresses, being leaked. In 2018, Europe devised a new law known as the General Data Protection Regulation, or GDPR, to help minimise the risk of data breaches. Nevertheless, this still hasn’t stopped all businesses from collecting or sharing data illegally, which in turn, has damaged the trustworthiness of even the most law-abiding businesses who need to collect relevant consumer data.  Transparency is key to successful data collection for digital transformation. Your priority should be to always think about the end user and the impact poorly managed data may have on them. Explain methods for data collection clearly, ensure you can provide a clear end-to-end map of how their data is being used and always follow the law in order to keep your consumers, current and potential, safe from harm.  Make sure there is a process for accountability  Digital tools are usually brought in to replace a human being with qualifications and a wealth of experience. If this human being were to make a mistake in their line of work, then they would be held accountable and appropriate action would be taken. This process would then restore trust between business and consumer and things would carry on as usual.  But what happens if a machine makes an error, who is accountable?  Unfortunately, it has been the case that businesses choose to implement digital transformation tools in order to avoid corporate responsibility. This attitude will only cause, potentially lethal, harm to a business's reputation.  If you choose to implement digital tools, ensure you have a valid process for accountability which creates trust between yourself and your consumers and is representative of and fair to every group in society you’re potentially addressing.  Businesses must be aware of the potential ethical risks that come with badly managed digital transformation and the effects this may have on their brands reputation. Before implementing any technology, ensure you can, and will, do so in a transparent, trustworthy, fair, representative and law-abiding way.  If you’re in the world of Data & Analytics and looking to take a step up or find the next member of your team, we can help. 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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