SENIOR BI ENGINEER

Barcelona
€50000 - €60000 per annum + BENEFITS

SENIOR BI ENGINEER

BARCELONA

50.000€-60.000€

THE COMPANY

One of the most established mass customization companies in the industry with a worldwide presence has undergone extensive growth and have now focused on investing and expanding their teams to drive business for further growth and success.

This company is building a new platform where people, companies and products around the world can express themselves and promote their initiatives.

As a BI Engineer you will be part of the Business Analytics team and you will be working with different teams across the business being responsible for full data processing flows.

Your team tasks involves applying analytic techniques, preparing it for ad hoc and visual technologies, making the data sets available to drive and enable decision making worldwide.

THE ROLE:

-Your main focus will be modelling, getting the data from different sources and formats into a format suitable to be used.

-You will contribute building and launching self-serve analytics products and support a self-service data exploration platform.

-You will be collaborating closely with business and analytics teams to provide guidance and help in implementation of analytics and reports.

-You will become an expert on Looker - as a development platform and visualization tool - and you will enable, educate and empower partners to understand and access data efficiently.

SKILLS AND EXPERIENCE

The ideal candidate has:

-Software engineering skills.

-Familiarity with analytic method and tools.

-Strong experience with SQL.

-Hands on experience as a BI developer/Analyst working with tools such as Looker, Tableau, Qlikview.

-Strong interpersonal and communication skills - ability to communicate technical concepts clearly.

-Bachelor's degree in Computer Science, Information Systems or related technical field.

-Fluency in English written and spoken.

BENEFITS

-Competitive salary + multiple benefits

-Relocation package.

-Possibilities of growth.

- Fantastic dynamic and international environment.

-Offices next to the beach - in the centre of Barcelona.

-Excellent company culture.

HOW TO APPLY

To be considered for this exciting opportunity, please submit your details using the 'Apply' button on this page.

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43478/AG
Barcelona
€50000 - €60000 per annum + BENEFITS
  1. Permanent
  2. Business Intelligence

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Visit our Blogs & News portal or check out our recent posts below.

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Every Data Science department worth its salt has at least one engineer on the team. Considered the “master builders,” Data Engineers design, implement and manage Data infrastructure. They lay down digital foundations and monitor performance. At least, that’s what they used to do.  Over the last few years, the role has shifted. Data Engineers have gone from mainly designing and building infrastructure, to a much more supportive and collaborative function.  Today, a key part of the engineer role is to help their Data Analyst and Data Scientist colleagues process and analyse data. In doing so, they are contributing to improved team productivity and, ultimately, the company’s bottom line. THE IMPACT OF THE CLOUD In the past, a Data Engineer would often move data to and from databases. They’d load it in a Data Warehouse, and create Data structures. Engineers would also be on hand to optimise Data while businesses upgraded or installed new servers.  And then along came the Cloud.  The rapid dominance of cloud computing meant that optimisation was no longer needed. And as the cloud made it easy for companies to scale up and down, there was less need for someone to manage the data infrastructure.   The collective adoption of the cloud has had a big impact on the function of Data Engineers. Because, provided a company has the funds, there is no longer the same demand for physical storage. Freed from endless scaling requests, engineers have more time to program and develop. They also spend more time curating data for better analytics.  AUTOMATING THE BORING BITS  Less than a decade ago, if start-ups wanted to run a sophisticated analytics program, they’d automatically hire a couple of Data Engineers. Without them, Data Analysts and Data Scientists wouldn’t have any Data. The engineers would extract it from operational systems, before giving analysts and business users access. They might also do some work to make the Data simpler to interpret.  In 2019, none of this extraction and transformation work is necessary. Companies can now buy off-the-shelf technology that does exactly what a Data Engineer used to do. As Tristan Handy, Founder and President of Fishtown Analytics, puts it: “Software is increasingly automating the boring parts of Data Engineering.”  STILL SOUGHT-AFTER  With automation hot on the Data Engineer’s tail, it can be tempting to ask whether they are still needed at all.  The answer is: yes, absolutely. When recruiting engineers, Data Strategist Michael Kaminsky says he looks for people “who are excited to partner with analysts and Data Scientists.” He wants a Data Engineer who knows when to pipe up with, “What you’re doing seems really inefficient, and I want to build something better.” Despite the rise in off-the-shelf solutions, engineers still play a key role in the Data Science team. The difference is simply that their priorities and tasks have shifted.  Today, innovation is the watchword. The best engineers are hugely collaborative, helping their teams go further, faster. It’s an exciting time to be a Data Engineer. If you’re interested in this field, we may have a job for you. Take a look at our latest opportunities or get in touch with our expert consultants.  

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