Düsseldorf, Nordrhein-Westfalen
€65000 - €90000 per annum + BENEFITS

Senior Big Data Consultant (m/w/d)

65.000 € - 90.000 €


Werde Teil eines neugegründeten Big Data Teams und bestimme die Ausrichtung mit!


Als Experte im Bereich Big Data erwarten dich spannende Aufgaben um neue Systemlandschaften entstehen zu lassen. Die Klientel ist äußerst vielfältig, jedoch sind einige weltbekannte Namen unter den Kunden. Obwohl es sich um eine Consultancy Stelle handelt wird sehr großen Wert auf die Work-Life Balance gelegt und es ist möglich einiges der Arbeitszeit vom Home-Office auszuüben. Durch die ständigen technischen Erneuerungen sind Weiter- und Fortbildungen ein wichtiger Teil des Angebotes. Nicht zuletzt stehen regelmäßige Teamaktivitäten auf der Agenda.


Als Big Data Consultant gehören folgende Aufgaben zu deinem täglichen Aufgabenbereich:

  • Die Entwicklung und Implementierung individuell angepasster Big Data Lösungen
  • Die architektonische Definition und die Auswahl der Technologien
  • Die Strukturierung von Data Lakes und Integration von Schnittstellen
  • Die Erstellung von Konzepten und Use Cases

Die relevanten Technologien, die du während deiner Arbeit verwenden wirst sind: Hadoop, NoSQL, Kafka, Spark, Mongo DB und Oracle


Als erfolgreicher Big Data Consultant bringst du folgende Qualifikationen mit:

  • Absolvierte Ausbildung oder Studium im Bereich der Informatik
  • Mehrjährige Erfahrung mit Big Data Infrastrukturen (Hadoop, Spark, Kafka)
  • Erfahrung in der Entwicklung von Backend-Komponenten
  • Einschlägige Erfahrung mit relationalen und NoSQL Datenbanken
  • Reisebereitschaft
  • Deutsch- und Englischkenntnisse


  • Home-Office
  • Flexible Arbeitszeiten
  • Kurze Entscheidungswege
  • Weiterbildungsmöglichkeiten
  • Transparenz


Falls diese Stelle interessant für dich klingt bewirb dich direkt auf dem Link oder kontaktiere

Marcel Mathis

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Düsseldorf, Nordrhein-Westfalen
€65000 - €90000 per annum + BENEFITS
  1. Permanent
  2. Big Data

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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.

How Big Data Is Impacting Logistics

How Big Data is Impacting Logistics

As Big Data can reveal patterns, trends and associations relating to human behaviour and interactions, it’s no surprise that Data & Analytics are changing the way that the supply chain sector operates today.  From informing and predicting buying trends to streamlining order processing and logistics, technological innovations are impacting the industry, boosting efficiency and improving supply chain management.  Analysing behavioural patterns Using pattern recognition systems, Artificial Intelligence is able to analyse Big Data. During this process, Artificial Intelligence defines and identifies external influences which may affect the process of operations (such as customer purchasing choices) using Machine Learning algorithms. From the Data collected, Artificial Intelligence is able to determine information or characteristics which can inform us of repetitive behaviour or predict statistically probable actions.  Consequently, organisation and planning can be undertaken with ease to improve the efficiency of the supply chain. For example, ordering a calculated amount of stock in preparation for a busy season can be made using much more accurate predictions - contributing to less over-stocking and potentially more profit. As a result, analysing behavioural patterns facilitates better management and administration, with a knock-on effect for improving processes.  Streamlining operations  Using image recognition technology, Artificial Intelligence enables quicker processes that are ideally suited for warehouses and stock control applications. Additionally, transcribing voice to text applications mean stock can be identified and processed quickly to reach its destination, reducing the human resource time required and minimising human error.  Artificial intelligence has also changed the way we use our inventory systems. Using natural language interaction, enterprises have the capability to generate reports on sales, meaning businesses can quickly identify stock concerns and replenish accordingly. Intelligence can even communicate these reports, so Data reliably reaches the next person in the supply chain, expanding capabilities for efficient operations to a level that humans physically cannot attain. It’s no surprise that when it comes to warehousing and packaging operations Artificial Intelligence can revolutionise the efficiency of current systems. With image recognition now capable of detecting which brands and logos are visible on cardboard boxes of all sizes, monitoring shelf space is now possible on a real-time basis. In turn, Artificial Intelligence is able to offer short term insights that would have previously been restricted to broad annual time frames for consumers and management alike.  Forecasting  Many companies manually undertake forecasting predictions using excel spreadsheets that are then subject to communication and data from other departments. Using this method, there’s ample room for human error as forecasting cannot be uniform across all regions in national or global companies. This can create impactful mistakes which have the potential to make predictions increasingly inaccurate.  Using intelligent stock management systems, Machine Learning algorithms can predict when stock replenishment will be required in warehouse environments. When combined with trend prediction technology, warehouses will effectively be capable enough to almost run themselves  negating the risk of human error and wasted time. Automating the forecasting process decreases cycle time, while providing early warning signals for unexpected issues, leaving businesses better prepared for most eventualities that may not have been spotted by the human eye.  Big Data is continuing to transform the world of logistics, and utilising it in the best way possible is essential to meeting customer demands and exercising agile supply chain management.  If you’re interested in utilising Artificial Intelligence and Machine Learning to help improve processes, Harnham may be able to help. Take a look at our latest opportunities or get in touch with one of our expert consultants to find out more.  Author Bio: Alex Jones is a content creator for Kendon Packaging. Now one of Britain's leading packaging companies, Kendon Packaging has been supporting businesses nationwide since the 1930s.

How Data Is Shifting Defence

How Data Is Shifting Defence

When looking at the cyber security measures in 2019 the outcome is uncertain. Threats come in the form of pariah states, extremely skilled individuals, and illiberal actors. However, what is certain is the leaps and bounds made in technology.  Before computers, defence documents were in government offices. By the Second World War this would progress onto secure sites, take Bletchley Park for example.   The real watershed would come years later in the Cold War. While there was no direct military action (aside from the proxy Korean and Vietnam War), this tension was illustrated elsewhere, with the space race and nuclear armaments to name but a few. Both sides went to extraordinary lengths to guard and seize intelligence through covert ops. As this classified information made its way onto computers and in turn brought about new risks. This theme continues to the present day; as technology improves, so do offensive and defensive capabilities.  Hard Power With the advancement in technology this has been used by militaries to take and saves lives. Only a matter of years ago aerial bombardment would have to involve putting pilots at risk, flying deep behind enemy lines. These days, a bombing run could be carried out anywhere in the globe with the ‘pilot’ not having to leave their chair. How? Through Unmanned Aerial Vehicles (UAVs). This removes any casualties to their pilots, using advanced systems in Computer Vision to operate across the globe.  The ethics of this remain debated and there are many who express doubts at the use of AI, fearing their destructive potential. Others, however, see this as necessary advancement.  Indeed, in asymmetric warfare, established states’ advanced technology is near enough untouchable. Take an example from the US Marines. Still in testing, an advanced platform can allow troops on the ground to see if a room has been cleared, saving friendly lives. This is way above the capabilities of rogue terrorist forces, and looks set to play a crucial role in saving lives. It would seem highly unlikely that the Taliban, for example, could use sophisticated weaponry to bring down a jet.  However, the danger in 2019 now lies with the established illiberal states who still pose a serious threat. It is paramount that nations continue to advance, to both deter and, if needed, counter a hostile force. Soft Power While NATO states have shown dominance in physical terms over past foes, 2019 brings uncertainty when it comes to soft power, most notably cyber-security. The threats to this are very real, and are a put civilians at risk - take the Sony and NHS hackings as an example.  Moreover, the notion of alleged election meddling continues to plague politics, notably the US 2016 Election and the Brexit referendum. There have been several accusations of state-sponsored foul play incorporating the use of bots to influence people’s decision making, mostly through continual pressure on either fake news or mass-support of certain decisions. They impact society directly into our homes, considering the popularity of social media platforms like Twitter and Facebook. Alongside many other nations, the UK is taking action to counter this type of threat. Only recently a specialist cyber-security division in the army has been established, quite literally to both counter, and if needed, launch cyber-attacks.   Ultimately, society has come a long way, physically and online when it comes to defence. Sophisticated weaponry continues to develop but is raising new ethical questions, particularly in regards to the use of AI and Computer Vision. Civilian institutions remain at risk, with many having been targeted in hacks or through intervention on social media. Threats may continue to evolve, but so will defence strategies, with the two competing to stay one step ahead of the other.   If you’re interested in applying Data & Analytics to national security, 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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