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SENIOR DATA ENGINEER

Stockholm
650000kr - 800000kr per annum
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SENIOR DATA ENGINEER

STOCKHOLM

600 000 - 780 000 SEK

This is a fast-paced, tech-driven business, with an excellent reputation, now looking to add to their team. If you are a Data Engineer who is keen to take ownership and guide this team in the topic of data engineering, this is a great role for you.

THE COMPANY:

The company is investing heavily in their Data Engineering efforts, and they are now building a team to further cater for their cloud solutions.

The role sits within a brand new team for a financial company. You will help build the platform from scratch, and work in an international environment.

Their technical environment consists of Java, Python, Hadoop, Kafka, Spark Streaming and Elastic Search.

THE ROLE:

As the Senior Data Engineer you will:

  • Working with other teams in order to maximise the potential and efficiency of data & reporting platform.
  • Liaising with both technical and non-technical stakeholders from C-Level down to gather requirements
  • Build a next-gen streaming data platform for analytical and operational use
  • Contribute to the big data development team and drive work within an AGILE environment.
  • Maintain and build robust and performant data pipelines
  • Working on several projects simultaneously
  • Hands on design and development of the data platform

YOUR SKILLS AND EXPERIENCE:

Ideally, we see that you have:

  • Hands-on experience building data pipelines
  • Experienced programmer in Scala, Java or Python
  • You have experience in frameworks such as Hadoop, MapReduce, HDFS
  • You have experience in data stream processing: Kafka, Spark
  • Excellent communication skills

THE BENEFITS

  • Modern technology stack
  • Fantastic learning culture
  • Stocks
  • Great pension
  • Health & lifestyle benefits
  • Great arrangements for maternity & paternity leave

HOW TO APPLY:

Please register your interest by sending your CV via the Apply link on this page.

KEYWORDS:

Hadoop, Cloudera, Java, Scala, Python, Data Engineer, Stockholm, Sweden, Apache, Spark, Kafka, Airflow, SQL

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VAC-18726/EM
Stockholm
650000kr - 800000kr per annum
  1. Permanent
  2. Big Data

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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 Can Your Career In Big Data Help You To Accelerate Change?

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Georgina Garraway

Georgina Garraway

25. March 2021

News

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. 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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. 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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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