Data Engineer

We let the future guide us. Join our next generation

Data Visualization, Advanced Analytics, Big Data;

Your Future With Us - Cosa troverai in KPMG

Unisciti a noi!

At KPMG - no secrets with big data

We let the future guide us. Join our next generation

Do you want to pursue a profession that is truly meaningful and impactful? At KPMG, you will have the opportunity to help clients, the company and colleagues address and solve the most current and complex challenges.KPMG Advisoryoffers consulting services to companies to assist them in business model transformation, process improvement and digitisation, risk analysis and management, and support in extraordinary finance transactions.

Specifically, you will join ourLighthouse team.

Lighthouseis theKPMG Advisorycentre of excellence delivering an array ofdata & analyticssolutions.

Alongside the team, you will develop innovative solutions by drawing on our global expertise,with access to shared knowledge from our centres of excellence Your experience in IT, mathematics and statistics along with your corporate expertise will allow you to design and implement predictive analytical solutions, integrating different factors and presenting them in a professional manner. In a business- and technological innovation-orientated environment, your work will embrace data science, data engineering and information visualisation.

Specifically, you will be tasked with:

designingdatabases for analytical purposes;

analysing and integrating data sources;

data visualization,advanced analytics,Big Data;

designing more efficient KPIs and computing frameworks;

analysing, designing and implementingreporting modelsanddashboards;

analysing corporate processes and designing analytical support models;

implementing analytical solutions, supporting the launch and overseeing the maintenance of software.

Come As You Are - Your skills and characteristics

This is the perfect opportunity for you if:

you have a degree in economics, mathematics, mathematical engineering, statistics, computer engineering, management and production engineering or computer science;

You have1-2 years of experience, preferably in complex project environments;