Senior Data Engineer, hibrido

Jordan martorell s.l.; Barcelona; Híbrido; EUR 45.000 - 90.000; Jornada completa

Descripción de la vacante

An established industry player is seeking a Senior Data Engineer to enhance their Analytics Service Line. In this dynamic role, you will leverage your extensive experience in data engineering and cloud technologies to build scalable solutions that transform business processes. You'll collaborate with global teams, analyze complex data sets, and provide valuable insights that drive operational success. With a commitment to personal and professional growth, this innovative firm offers a hybrid work environment, competitive salary, and a comprehensive benefits package, making it an exciting opportunity for those passionate about data and analytics.

Servicios

Health Insurance

Restaurant Card

Mobility Plan

Flexible Remuneration

Comprehensive Social Benefits

Ongoing Training

Dog-friendly Campus

Recreation Activities

Volunteering Activities

Formación

• 7+ years of experience in data engineering and cloud technologies.
• Strong knowledge of SQL and data integration techniques.
• Experience in big data technologies and data governance.

Responsabilidades

• Build and deliver analytics services for strategic business insights.
• Analyze complex data sets and solve advanced analytical problems.
• Collaborate with teams to utilize new data sources for insights.

Conocimientos

Data Engineering

Cloud Computing

SQL

Data Analysis

Programming in R

Programming in Python

Strategic Thinking

Service-Oriented Architecture (SOA)

Educación

Bachelor's Degree in Computer Science

Master's Degree in Data Science or related fields

Herramientas

Azure

Hadoop

Snowflake

DBT

SAP

DevOps

Descripción del empleo

Senior Data Engineer

We are currently looking for a Sr. Data Engineer in order to complete our Analytics Service Line (ASL) department.

Position Snapshot
- Location: Barcelona
- Type of Contract: Permanent
- Stream: IT Analytics, Data and Integration
- Type of work: Hybrid
- Work Language: Fluent Business English

The role
As a Sr. Data Engineer, you 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 unstructured and structured data and being able to transform and analyze the data using various tools, including components delivered through the Azure marketplace, 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.

Travel activity is low, depending on the project assigned, averaging at below 10.

What you'll do

1. Partner with Market functions, Globally and Regionally Managed Businesses, and Above Market entities to build and deliver towards a portfolio of analytics services.
2. Analyze complex data sets to answer strategic and operational business questions.
3. Expertise in working with structured data apply methods, technologies and techniques that address data architecture, integration and governance of data.
4. Experience in database concepts, data modeling, data integration including design and architecture.
5. 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, DBAs architects, data quality analysts, and other teams while seamlessly managing client relationships within context of individual role.
6. Collaborate with other Business Analytics teams and networks to utilize new sources of data, for the purpose of developing insights and applicability across markets.
7. Provide enablement services around predictive, diagnostic, and optimization analytics.
8. Work with large, complex data sets.
9. Solve difficult, non-routine analysis problems, applying advanced analytical methods as needed.

We offer you
We offer more than just a job. We put people first and inspire you to become the best version of yourself:

1. 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.
2. Personal and professional growth through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.
3. 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!
4. Recreation activities such as yoga, Zumba, etc. and a wide range of volunteering activities.

Minimum qualifications:

1. Bachelors Degree in Computer Science, Systems Analysis or a related study, or equivalent experience.
2. +7 years experience technical and critical thinking skills and service oriented architecture (SOA) principles and Web services standards and best practices.
3. +7 years experience as a software architect designing and delivering large scale distributed software systems, preferably in large scale global business.
4. 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.
5. Gather and process raw data at scale (including writing scripts, web scraping, calling APIs, write SQL queries, etc.).
6. 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.

Bonus Points if you:

1. Masters would be good to have (in disciplines like Data Science, Computer Science, or Economics).
2. Experience on programming in R, Python.

Soft skills:

1. You have strategic thinking and business acumen.
2. You are capable to organize several projects at the same time.
3. Experience working in a global environment and with virtual team.

About the IT Hub
At Nestlé IT, we are a diverse, global team of IT professionals in the biggest health, nutrition and wellness company of the world. We strive to create an environment where people are valued for who they are. We innovate every day through future-ready technologies to create opportunities for Nestlé to delight consumers, customers and employees alike. We collaborate with partners around the world to deliver tangible value at global scale. We continuously work to develop our people to be future ready.

About Nestlé
We are Nestlé, the largest food and beverage company in the world, with a presence in more than 185 countries. With net sales of CHF 94.4 billion in 2022, the company has over 291,000 employees and 418 factories in 85 countries. Our values are based on respect: respect for ourselves, respect for others, respect for diversity, and respect for our future. Nestlé is dedicated to offering high-quality food and beverage products and services that contribute to the nutrition, health, and well-being of people, pets, and the planet. Additionally, it is committed to being a leading company in sustainability and achieving net zero greenhouse gas emissions by 2050. Want to learn more? Visit us at: www.nestle.com

We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.

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