The Harnham’s annual European Data and Analytics 2018 salary guide digs deeper into salary trends. It explores the most in demand skills and hiring challenges, as well as some of the key push and pull factors candidates consider when deciding whether to move positions. The survey has shown us some very interesting findings.
No longer can an analyst focus on one specific area. They must have both broader technical and commercial understandings to represent true business value. Big data engineers are fast becoming the most in demand resource in the market and, as companies are making the transition to Cloud based services, candidates must demonstrate expertise in either AWS, Azure or GCS. Any experience working with big data tools such as Spark or Hadoop adds an extra 20 – 24% on to their salary demands.
The data science landscape has changed dramatically over the past 12 months. Industry 4.0 has seen a marked increase in the number of larger and more traditional companies making their first data science hires to optimise their manufacturing and logistics processes.
Harnham has collated data from various sources to gain insights into salary trends, combined with a deep analysis into the market as a whole, highlighting benefits, diversity, skills, technologies and much more.
The salary guide is based on data compiled from:
- An independent survey completed by over 1,600 respondents
- Analysis of roles Harnham have recruited for
- Insights from candidates Harnham have worked with
- Our analysis of placements Harnham have made
- Analysis of adverts online
Today, data plays a crucial role in developing new business models. Data Engineering is one of the hottest topics within businesses in France and the Benelux and goes hand in hand with Data Science. We have seen a big increase in the demand for Data Engineers in both start-ups and world leading companies.
Data Science projects in France-Benelux are getting exciting. Whilst the USA and the UK seem to be leading on salaries and state of the art Data & Analytics teams, the capitals of France- Benelux are fast becoming the up and coming hubs for Data Science. Paris, for instance, is heavily investing in its start-up ecosystem, and we have seen dozens of new start-ups arise with Data Science at their core. We can’t fail to notice the numerous seed fundraisings across France-Benelux, which promise a bright future.
More and more professionals are willing to cross borders in order to find exciting roles where they can work with state of the art tools and technologies. With competitive salaries on offer, relocation is becoming a key issue in talent retention. Spain has also experienced massive growth in terms of number of start-ups being founded and successfully raising finance. Barcelona has crowned itself Europe’s 4th largest start-up and innovation hub, with brand new businesses pioneering in diverse sectors like AI, finTech, healthcare, biotech, etc. Overall, we expect to see a continuous increase in job opportunities, with roles like the CDO becoming key figures at the forefront of companies’ transformation processes and further growth
Big Data solutions and strategies are becoming essential for companies undergoing digital transformation in order to ensure their survival and growth. Big Data engineers and architects are the rarest and most in demand profiles in the current market, reflecting this growing trend. In Spain, Big Data profiles have been listed as the most difficult role to fill in the country. Whilst this adds an extra challenge to an already difficult and complex process, it opens up a new era for analytics and its importance for business success. Tools and frameworks like Hadoop, Spark and Scala are very sought after, complemented with cloud-based solutions like AWS, Big Query or Cloudera, as well as languages like Python or Java.
The Southern Europe Data Science scene is hotter than ever. Madrid and Barcelona lead the region, with a number of tech start-ups founded focusing on AI and IoT. An ever growing number of businesses raising funds is sure to create a substantial number of new jobs. Python remains the top choice for programming and solid experience with Machine Learning algorithms, NLP and Predictive Modelling are highly sought after.
Over the last year, the need for Data Scientists has become much more apparent. Previously, the majority of Data Scientist openings were within marketing and advertising centric projects. Now, however, a Data Scientist can help drive business value across a much wider spread of sectors. Industry 4.0, with its related topics such as predictive maintenance, has seen a dramatic, increase in the demand for highly skilled Data Scientists. They are brought in to improve and optimise manufacturing, logistics and online processing, as well as using their experience to explore new areas such as robotics.
The Nordics are one of the key developing regions across the world when it comes to growth within the Data and Analytics space. The demand for Data and Analytics professionals has boomed, with multiple companies looking to invest in top talent to maximise their business potential.
Stockholm leads the way, with a large number of new start-ups challenging the rest of the market with innovative ways of applying data to business models and strategies. A similar trend, continuing through from last year, is the lack of specialist talent across the region, more specifically at a senior level. With universities such as KTH, University of Oslo and DTU offering Master’s programmes in Engineering and Applied Analytics, it will be interesting to see the talent that emerges in the coming years and how this will shape the market
As Nordic businesses experience an increase in the amount of data they have access to, their need for highly skilled Big Data candidates grows. As a result of this, we have seen salaries increase year on year, especially at entry levels.
From the data Harnham compiled we see that salaries for entry level Data Science positions have increased across the Nordics. This may be a reflection of a talent short market responding to increased competition by securing fresh talent at an early stage.
Online and technology companies are still major employers for Data Science, but an interesting outcome from Industry 4.0 is that large, traditional organisations are also looking for data scientists. These companies often pay above market rate, perhaps as a compensation for their heavily regulated and somewhat lagging technical environments.
The EU Harnham Salary Guide observes a rise in companies launching teams with expertise in deep learning, image recognition, human behaviour analytics and driverless cars. Even if data Scientists are still very much in demand, Data Engineers are becoming vital team members for big data projects. In fact, data engineering has grown size and visibility since many firms know the real value of data. Today, in takes a ratio of 1 data engineer for every data scientist and it is difficult to achieve a one-to-on ratio.
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