Sr. Data Engineer

<p>We are currently looking for a <b>Sr. Data Engineer </b>in order to complete our <b>Analytics Service Line (ASL)</b> department<b>.</b></p> <p> </p> <p><b>Position Snapshot</b></p> <ul> <li>Location: Barcelona</li> <li>Type of Contract: Permanent</li> <li>Stream: IT Analytics, Data and Integration</li> <li>Type of work: Hybrid</li> <li>Work Language: Fluent Business English</li> </ul> <p> </p> <p><b>The role </b></p> <p>As a <b>Sr. Data Engineer</b>, should have technical experience in building scalable distributed software on the cloud that will combine cognitive computing / advanced analytics technology with traditional data engineering/science and apply it at scale to transform enterprise business processes. A Data Engineer will also be able to modify a traditional open-source or other data stack to incorporate cognition. Potential resources should come from a strong data engineering background and need to have experience with un-structured and structured data and being able to transform and analyze the data using various tools, including components delivered through the Azure market place, especially from the Cortana Intelligence suite. This is in particular required to build new platforms, which may need to move data to new technologies requiring data parity guarantees between new and old feeds.</p> <p> </p> <p>Travel activity is low, depending on the project assigned, averaging at below 10%.</p> <p> </p> <p><b>What you’ll do </b></p> <ul> <li>Partner with Market functions, Globally and Regionally Managed Businesses, and Above Market entities to build and deliver towards a portfolio of analytics services.</li> <li>Analyze complex data sets to answer strategic and operational business questions.</li> <li>Expertise in working with structured data; apply methods, technologies and techniques that address data architecture, integration and governance of data. </li> <li>Experience in database concepts, data modelling; data integration including design and architecture. </li> <li>Master data management, including customer data strategy, product data strategy and organizational hierarchy, and Information (Data) Governance including strategy, implementation, business glossary, metadata analysis and proving hands on business knowledge working with database developers, DBA's architects, data quality analysts, and other teams while seamlessly managing client relationships within context of individual role.</li> <li>Collaborate with other Business Analytics teams and networks to utilize new sources of data, for the purpose of developing insights and applicability across markets.</li> <li>Provide enablement services around predictive, diagnostic, and optimization analytics.</li> <li>Work with large, complex data sets.</li> <li>Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.</li> </ul> <p> </p> <p><b>We offer you </b><br/> We offer more than just a job. We put people first and inspire you to become the best version of yourself:</p> <ul> <li>Great benefits including competitive salary and a comprehensive social benefits package. We have one of the most competitive pension plans on the market, as well as flexible remuneration with tax advantages: health insurance, restaurant card, mobility plan, etc.</li> <li>Personal and professional growth through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.</li> <li>Hybrid working environment with flexible working scheme. Our state-of-the-art campus is dog friendly and equipped with a medical center, canteen and areas to co-create network and chill!</li> <li>Recreation activities such as yoga, Zumba, etc. and a wide range of volunteering activities.</li> </ul> <p> </p> <p><b>Minimum qualifications: </b></p> <ul> <li>Bachelor's Degree in Computer Science, Systems Analysis or a related study, or equivalent experience.</li> <li>+7 years’ experience technical and critical thinking skills and service oriented architecture (SOA) principles and Web services standards and best practices.</li> <li>+7 years’ experience as a software architect designing and delivering large scale distributed software systems, preferably in large scale global business.</li> <li>Capability to architect highly scalable distributed systems using open source tools and big data technologies (such as Hadoop, HBase, Spark, Impala, Storm, etc.) in integration with other open-source or proprietary tools available through the Azure Market Place, especially the Cortana Intelligence components.</li> <li>Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.).</li> <li>Experience on programming in SQL SAP, Snowflake, DBT, Azure, Dev OPS, methods for efficiently retrieving data, as well as data preparation/wrangling both on demand and in an industrialized way.</li> </ul> <p> </p> <p><b>Bonus Points if you: </b></p> <ul> <li>Masters would be