Back in 1966, in Marseilles, when the world was talking about Start Trek, Sodexo was serving its first customers, initiating our journey in the Quality-of-Life Services leaded by the bold Pierre Bellon.
Since then, we continued our adventure of offering everyday need solutions, improving the life of our users across the globe supported by more than 400 thousand dedicated and brave colleagues, in 64 countries, that lead us to where we are today.
Portugal is no exception and 5 years ago, our shared service center – Sodexo Business Services – SBS, was born In here, you will have the chance to be part of several Financial teams like Record to Report, Order to Cash, Purchase to Pay, Financial Analysis, Master Data, among others, that support European markets, making sure the business continues to growth.
Are you bold enough to join our crew, with your unique character and ideas, and make us even bigger?
We are waiting for you And so, your career
In the meantime, check the opportunity below:
SENIOR DATA ENGINEER
What will you do?
1.Tech Lead
- Privileged technical point of contact for the Product Owner and business sponsors
- Ability to take data engineering responsibility of a data project
- Listening skills and very good communication skills
- Ability to manage technical debt (variable according to use cases)
- Technical architect, lead design meetings and tech breakdowns
- Ability to mentor, guide the work of a more junior Data Engineer
2.Data Ingestion & Processing:
- Design and implement batch and real-time data ingestion pipelines.
- Use Databricks (with PySpark) for big data processing tasks.
- Use DBT to transform data.
- Cleanse, transform, and enrich raw data to make it analytics ready.
- Optimize queries and data processing for speed and cost efficiency.
3.Data Storage & Management:
- Design and implement database schemas, tables, and views.
- Optimize storage formats for querying, such as Parquet or Delta Lake.
- Enforce data quality checks and data lineage documentation.
- Implement partitioning, bucketing, and indexing strategies for efficient data retrieval.
4.Collaboration with data experts (data analyst, data scientists):
- Work closely with data scientists to provide data in appropriate formats for machine learning and advanced analytics.
- Collaborate with Platform Engineer teams to comply with Platform good practices and escalate common needs
- Assist data analysts with SQL queries, views, and report generation.
- Collaborate on the deployment of machine learning models to production.
5.Security & Compliance (with Azure security experts):
- Implement role-based access controls and data encryption (at-rest and in-transit).
- Comply with industry and organizational data standards, privacy regulations, and best practices.
- Regularly audit data access and usage.
6.Infrastructure & Configuration (with Azure infrastructure experts):
- Set up and maintain Azure cloud infrastructure.
- Configure and optimize Azure Data Lake Storage, Blob Storage, and other Azure storage solutions.
- Deploy and manage Databricks clusters for processing tasks.
- Implement and maintain data pipelines using Azure Data Factory.
- Monitor and troubleshoot infrastructure-related issues.
7.Documentation & Training:
- Onboard new team members, providing access and initial training on tools.
- Create documentation and knowledge bases for data pipelines, best practices, and tooling.
8.Continuous Improvement:
- Stay updated with the latest advancements in data engineering technologies.
- Propose and implement optimizations for current workflows and systems.
- Proactively identify areas of improvement and automation.
- Regularly update team on new features or changes in Azure, Databricks, or related technologies.
What you'll need to succeed?:
- Engineering Master's degree or PhD
- 5 years+ experience in a Data engineering role into large corporate organizations
- Experience in a Data/AI environment into a Cloud ecosystem
- Python & Data Manipulation experience (Panda libraries and Python ecosystem)
- Familiar with Software Engineering Practices
- Advanced SQL Skills and Database Management and Architecture
- Data integration and Data modelling and ETL experience
- Big Data Processing knowledge
- Cloud Platforms & Azure Services proficiency
- Performance Optimization skills:
- Data Security & Compliance knowledge
- DevOps & Automation experience
- Monitoring & Troubleshooting familiarity
- Leadership & Initiative
- Empathy & Accountability
- Communication & Collaboration
- Problem Solving & Analytical Thinking
- Attention to Detail
- Adaptability & Continuous Learning
What we have to offer you?
- Hybrid working model;
- Flexible working hours;
- Health & Life Insurance;
- Attractive Meal allowance paid in Meal Card;
- Additional Days off: extra vacation day, employee's birthday, volunteering day;
- More than 6000 free online courses;
- Opportunity to grow professionally inside the Company;
- Possibility to participate in multicultural projects;
- Several internal activities aiming to promote our team´s wellbeing.
We are waiting for you
Send us your CV to our email Recruitment.SBS.Portugal@sodexo.com with the title of the role on the subject and check all the opportunities on our career website (https://www.sodexo.com/en/contact-us/sbs-porto/porto-jobs)
Find out more about Sodexo: https://www.youtube.com/watch?v=XX7PoE9kazU
Sodexo is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment.
At Sodexo we believe in Privacy and your Privacy is very important to us that´s why your personal data will only be used for the purpose of managing our recruitment process, will be processed in accordance to the GDPR and treated confidentially. For further information about how we process your personal data please reach out to privacy.sbs@sodexo.com.