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LEAD DATA ENGINEER

Helsinki
€77467 - €99600 per annum
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LEAD DATA ENGINEER

HELSINKI

SPECIALIST CONSULTANCY

We are looking for a Lead Data Consultant to mentor our data and analytics team and drive our data competency to a new level. You are very analytical and like to solve problems as a part of a team. You have a proven track record working with Data Engineering and solving business problems. You enjoy working hands-on with clients to provide advanced solutions.

THE COMPANY

We are a great place to work. Our company spirit is one of a true start-up, but with a twist of hardcore experience. We believe in giving a lot of responsibility and freedom to our employees. We love to laugh a lot, play some tunes at the office and grab a few drinks after work. Currently, we have over 15 nationalities working in the company and the official language is English.

THE ROLE

In this role you will be responsible for the following:

  • Find opportunities to enrich existing data to drive the client forward, and get more advanced opportunities to create insights
  • Analyse the results of your work and are able to derive business insights from complex data
  • Planning data architectures, running ETL/ELT processes
  • Building data pipelines

YOUR QUALIFICATIONS

  • Analytical mindset, ability to see outside the box
  • Languages: Fluent Finnish and English
  • Hands-on experience in as many of the following as possible:

  1. Data visualization (Tableau, PowerBI, DataStudio, Qlik etc.)
  2. Data mining, data engineering, and ETL / ELT processes (Alteryx, DataBricks, Knime, Orange)
  3. Databases and warehousing (AWZ, S3, BigQuery, PostgreSQL)

BENEFITS:

  • Best people to work with and broaden your skillset in a flat, zero-hierarchy organisation
  • Meaningful ways of working and the possibility to influence them
  • Laptop, and tech stack of your choosing
  • Competitive salary
  • Additional pension (7% of monthly salary for full-time employees)
  • Health care & service
  • Insurance for travel and free time
  • Wellness benefit
  • Tools to drive towards a good work-life balance
  • Recurring training & learning sessions
  • Friday breakfasts
  • Company excursion trips (when covid-19 allows)

HOW TO APPLY

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

KEYWORDS

data engineering, data and analytics, scrum, agile, consultant, data, analytics, lead, engineering manager, lead data engineer

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VAC-198237/EM
Helsinki
€77467 - €99600 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. 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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