1. Kariéra
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  3. Data & Analytics Engineer

Data & Analytics Engineer

Loopia Group is a leader in domain registration and web hosting that since 2018 has been owned by Axcel, a Scandinavian Private Equity fund. Loopia has a market-leading position in Sweden and customers also in Norway, Finland and Denmark. Websupport, as a part of the group, has a market leading position in Slovakia and has offices in Bratislava, Prague, Budapest and Nis.

Bratislava, Karadžičova 12

Location

2000 – 3000 EUR/m

Monthly pay (brutto)

Join us!

This is an excellent opportunity for a skilled Data & Analytics Engineer to be part of a team responsible for building and maintaining a cloud based data warehouse. You will play a crucial role in defining, building and maintaining key data models for understanding and driving the company’s operational and financial performance. The data and insights produced are used daily to give guidance to our most senior leaders, and help them to make the right strategic decisions. Your contribution will play a pivotal role in our ongoing success in the 6 countries we currently are present in. Take the opportunity to join a team that acts as a spider in the web for the whole company and be part of driving our journey to become even more data driven than we are today!

What you need to be successful

  • Team player with the ability and willingness to learn.
  • Enjoying working with a broad range of tasks within the data field to create smart and efficient data solutions – from creating pipelines all the way to occasionally designing dashboards.
  • Ability to translate challenging stakeholder needs into valuable analytics engineering solutions.
  • Driven by creating solutions that generate real business value.
  • Self-driven with great problem solving skills.
  • Great communication skills, both in collaboration with stakeholders and for sharing insights.
  • Able to work and communicate effectively in English.

Your background

  • Relevant degree from university, at least BSc in computer science or similar.
  • 0-4 years of experience in data related roles – data engineering, business intelligence or analytics engineering, and are used to work with orchestration, joins, data types, computational efforts, APIs, nested tables etc.
  • Advanced skills in SQL and data modeling.

What is nice to have

  • Python and data architecture skills are meriting.
  • Experience from ETL tools and cloud based solutions (we use GCP).
  • Experience from building intuitive data visualizations and dashboards that influence business decisions using tools like Tableau, Looker or similar.
  • Java and PHP is a plus.
  • Knowledge in accounting concepts and financial metrics is a plus.
  • Used to work with GIT.

What you will be working on

  • Building and maintaining the data warehouse including ETL/Orchestration, data pipelines, data modeling, understanding source data, making data available and understandable, creating dashboards etc.
  • Collaborate with stakeholders around the company to understand their needs and identify and enable business use cases.
  • Continuously optimize our setup to further increase reliability and robustness.
  • Close collaboration with the rest of the team.

What you can look forward to

 

  • You will be part of a team that strives for excellence and to make it easy to use data in order to create sharp insights and draw correct conclusions.
  • Be part of a multinational company with vast opportunities to work with people from other countries.
  • Support from an experienced team: colleagues always ready to help you with stuff you don’t feel confident about and who help you grow the best side of you.
  • Trust in your abilities: your opinion and your voice will be listened to, you will have space for self-realization, freedom and clear responsibility.
  • Space for yourself: Multisport card to cover your sports activities, 6 extra holiday days, a possibility of home office.
  • Our coolture: hackathons, barbecues, breakfast, Christmas party, teambuilding activities with your team, cool office with refreshments, a terrace, regular massages and a work.

 

I want to apply!

First, you’ll have a call with Natalia, our HR colleague; we’ll talk about your expectations from our cooperation. At the personal interview, we’ll discuss your experience in detail and there’ll be space for you to ask what interests you about the position. This way, we’ll find out if we match. You’ll meet us in this setup:

Data & Analytics Engineer
Michaela Kolesíková
Head of Business Control & Analytics
Lars Johansson
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