Data Engineer

Reporting Location:  Azambuja - Vila Nova da Rainha
Workplace Type:  Hybrid

About Us

HAVI is a global, privately owned company that connects people with ideas, data with insights, supply with demand, restaurants with deliveries, and ultimately, people with the products they love. Whether sourcing, storing, or delivering products, we bring unmatched category expertise and unrivaled operational excellence combined with powerful digital analytics and insights. Founded in 1974, HAVI employs over 10,000 people and serves customers in more than 100 countries. HAVI’s business units include Supply Chain, tms, and Stanley 1913. Our portfolio of businesses offers best-in-class sourcing and supply chain capabilities, brand-defining marketing and promotion services, and innovative consumer products.
Why Work Here?

At HAVI, we are proud to make moments that matter every day for our People and our Customers.  We do this through living the HAVI values:

  • Do What’s Right
  • Respect and Value All
  • Think Big Together
  • Elevate our Customers and our People

Recognizing we have a responsibility to act and an opportunity to inspire a better future for people, the community, and the planet, social and environmental responsibility is at the heart of everything we do.   You’ll hear us refer to our “Better Future Blueprint” and see us driving responsible operations and advancing sustainable solutions.
Whether we’re running a beach clean-up, exploring hidden stories from under-represented voices, or helping our very own colleagues through times of crisis, you’ll see our amazing people bring these values to life every day.
We support our people with competitive pay, benefits, and flexibility, and strongly emphasize a growth mindset for achieving personal and career growth while at HAVI.




Data Pipeline Development:  Design, develop, and maintain ETL (Extract, Transform, Load) pipelines to ingest data from various sources into the data warehouse using Databricks and other relevant tools.
Data Modeling:  Design and implement data models that support the organization's analytical and reporting needs within the data warehouse environment.
Performance Optimization:  Optimize data pipelines and queries for performance and scalability, ensuring efficient data processing and retrieval within the data warehouse.
Data Quality Assurance: Implement data quality checks and monitoring mechanisms to ensure the accuracy, completeness, and consistency of data stored in the data warehouse.
Security and Compliance: Implement data security measures and adhere to compliance standards (e.g., GDPR, HIPAA) to protect sensitive data within the data warehouse.
Documentation: Document data pipeline workflows, data models, and technical specifications to facilitate knowledge sharing and ensure maintainability of the data warehouse environment.
Collaboration: Collaborate with other teams to understand data requirements and deliver solutions that meet business objectives 
Follow standard procedures for proper escalation of unresolved issues to the appropriate internal teams



  • Desired Skills & Experience
  • Data Analytics (Data Lake, Data Mesh, OLTP, DWH, Data Marts, BI) – deep technical knowledge (5+ years)
  • Cloud (Azure, Databricks, Data Factory) – deep technical knowledge (3+ years hands-on experience)
  • Data Modeling (relational DBs, dimensional modeling, data vault modeling) – deep technical knowledge (5+ years)
  • Data Pipeline development (with scalability, automation, and CI/CD in mind) - 5+ years hands-on experience
  • 5+ years development experience with SQL
  • 3+ years development experience with Python
  • Development Process (version control, CI/CD, testing, Agile) - 5+ years hands-on experience
  • Mentoring junior team members
  • Complete project and support work with little to no oversight
  • Excellent problem-solving skills and attention to detail
  • Strong communication and collaboration skills to work effectively in a team environment
  • Experience in data architecture






We are an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.