Sr Data Engineer

NLP PEOPLE; Tossa de Mar; Híbrido; EUR 45.000 - 85.000; Jornada completa

Descripción de la vacante

Join a dynamic data engineering team at a leading international company where you will play a pivotal role in developing and maintaining data solutions that drive financial decision-making. This position offers an engaging hybrid work environment, allowing you to collaborate with talented professionals while also enjoying the flexibility of remote work. You will be responsible for building and optimizing data pipelines, ensuring data quality, and transforming complex financial data into actionable insights. If you are passionate about data engineering and eager to make a significant impact, this is the perfect opportunity for you.

Servicios

Professional growth opportunities

Volunteering opportunities

Diverse team environment

Variety of benefits for wellbeing

Formación

• 7+ years of tech experience with 2+ years in data engineering pipelines.
• 3+ years in SQL optimization and programming languages like Python.

Responsabilidades

• Design and maintain financial data lakes and optimize data pipelines.
• Collaborate with internal clients to drive solutions and POCs.

Conocimientos

SQL optimization

Python

Data engineering pipelines

Cloud data engineering

Statistical/ML techniques

Agile development

Educación

BA/BS in Computer Science

BA/BS in Math

BA/BS in Physics

Herramientas

Azure

Databricks

Github

Descripción del empleo

Working with inspiring and experienced colleagues, you’ll find that the atmosphere in our office in Barcelona is informal and engaging. With an active, get-things-done culture, this is a place where your dynamism and agility will make a difference.

As a member of the data engineering team, you will be the key technical expert developing and overseeing PepsiCo’s data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You’ll be an empowered member of a team of data engineers who builds data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. You will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo’s flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners and business users in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems.

Responsibilities

We are looking for a Data Engineer to join our Financial Planning & Analysis (FP&A) team, which is responsible for building scalable and efficient data solutions to support financial decision-making. Our team processes financial data from SAP and other sources, ensuring accurate and timely insights for topline revenue, operating expenses (OPEX), and cost of goods sold (COGS).

You will work on designing, developing, and maintaining our financial data lake, optimizing data pipelines, and transforming raw financial data into gold-standard datasets. This role is ideal for someone who enjoys working with complex financial data and wants to have a direct impact on business strategy.

Your day to day with us:

1. Be an active contributor to code development in projects and services.
2. Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
3. Build and own the automation and monitoring frameworks that capture metrics and operational KPIs for data pipeline quality and performance.
4. Responsible for implementing best practices around systems integration, security, performance, and data management.
5. Empower the business by creating value through the increased adoption of data, data science, and business intelligence landscape.
6. Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
7. Develop and optimize procedures to “productionalize” data science models.
8. Define and manage SLAs for data products and processes running in production.

Company:

Pepsico

Qualifications:

What you will need to succeed:

1. 7+ years of overall technology experience that includes at least 2+ years of hands-on building data engineering pipelines.
2. 3+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala, etc.
3. 3+ years in cloud data engineering experience in Azure; Azure Certification is a plus.
4. 3+ years in building data engineering pipelines in Azure (ADF and Databricks).
5. 3+ years in data engineering experience in Azure Synapse.
6. Experience with version control systems like Github and deployment & CI tools.
7. Experience with Statistical/ML techniques is a plus.
8. Experience with building solutions in the retail or supply chain space is a plus.
9. Understanding of metadata management, data lineage, and data glossaries is a plus.
10. Working knowledge of agile development, including DevOps and DataOps concepts is a plus.
11. BA/BS in Computer Science, Math, Physics, or other technical fields.

What makes us different?

1. Hybrid work model: combination of remote and collaborative office experience to enable innovation.
2. Entrepreneurial environment in a leading international company.
3. Professional growth possibilities & learning opportunities.
4. Variety of benefits to support your physical, emotional, and financial wellbeing.
5. Volunteering opportunities to help external communities.
6. Diverse team with more than 30% of female representation & over 30 nationalities.
7. Have a stake in D&I strategy and bring your whole self to work.

Level of experience (years):

Mid Career (2+ years of experience)

Tagged as: Business Intelligence, Data Mining, Industry, Machine Learning, Spain