Data Engineer

The DEUS Initiative
We're a team of curious minds who believe technology should serve people. Our mission is to unlock the potential of AI for humanity through solutions that are not just innovative, but also ethical and impactful. We're driven by a desire to simply make things better.
Our name is inspired by deus ex machina, not because we think we’re gods, but because we design AI that steps in to support, solve, and serve.
**DEUS also stands for what we do best**:
Data | Engineering | User Experience | Strategy
With offices in Amsterdam, Porto, and A Coruña, we collaborate on international projects that challenge us to think deeply, build with care, and design for human good.
Will you be part of what comes next?
️ About You
**This role is a great fit if you have**:
Solid experience designing and implementing end-to-end data pipelines leveraging Azure Databricks, Delta Lake, and Azure Data Lake Storage (ADLS).
Hands-on expertise with Apache Spark, PySpark, and modular data ingestion/transformation components.
Proficiency in Azure services such as Data Factory (ADF), Azure SQL Database, Synapse Analytics, Key Vault, Logic Apps.
Strong programming skills in Python and SQL, plus automation scripting.
Experience with CI/CD pipelines (Azure DevOps, GitHub) and Git-based version control.
A solid understanding of Lakehouse architecture principles (Medallion architecture) for structured and semi-structured data.
Knowledge of ELT/ETL design, data modeling, orchestration, and event-driven architectures.
A mindset grounded in values like Integrity, Curiosity, Creation, and Collaboration.
**Bonus points if you have**:
Familiarity with Collibra for data cataloging and governance.
Certifications such as Microsoft Certified Data Engineer Associate or Databricks Professional.
Experience with serverless functions and advanced automation.
Previous mentoring experience, contributing to DataOps best practices and reusable components.
️ What You’ll Be Doing
Design, build, and optimize scalable data products on a multinational energy company’s data platform using Azure Databricks and related services.
Implement reusable, modular components for ingestion, transformation, and orchestration with ADF and Databricks notebooks.
Optimize Spark jobs for cost and performance (partitioning, caching, indexing).
Implement CI/CD pipelines for Databricks with Azure DevOps.
Collaborate closely with data product owners, architects, and business stakeholders to translate requirements into technical solutions.
Mentor junior data engineers and foster a culture of automation, innovation, and continuous learning.
Contribute to building a secure, high-performance data ecosystem that enables advanced analytics and business insights.
( and there’s always space to explore what excites you.)
️ What You’ll Experience
**Community**: Join a friendly multicultural team that loves to connect, through regular social events, activities, and our yearly company retreat, Pantheon.
**Flexibility**: We encourage a hybrid setup, but there are no mandatory office days. You decide when to come in and how to manage your time.
**Growth**: We support your development with a €1000 annual learning budget, dedicated mentorship, and a clear growth framework. We do annual reviews to recognize your growth and make sure your salary reflects it.
**Well-being**: Benefit from health insurance, flexible benefits, extra vacation days with tenure, and regular check-ins to support your well-being.
**Purpose**: Drive real impact and take ownership of meaningful projects with global clients.
️ A Place Where You Belong
At DEUS, we are deeply committed to building an environment where you can truly be your authentic self. We celebrate diversity in every dimension, fostering an atmosphere where every individual feels valued and respected.
Submit Your Application
You have successfully applied
You have errors in applying
First Name*
Middle Name
Last Name*
Mobile
Phone
Social Network and Web Links
Provide us with links to see some of your work (Git/ Dribble/ Behance/ Pinterest/ Blog/ Medium)
+
Employer
+ Add Employer
Education
+ Add Education
Application Form
Do you have at least 5 years of experience designing & implementing data pipelines with Azure Databricks and Delta Lake?*
- Choose
- Yes
No
Have you implemented Lakehouse architecture principles (e.g., Medallion) in a production environment?*
- Choose
- Yes
No
How many years of professional experience do you have working with Apache Spark/PySpark in large-scale data projects?
- Choose
- Less than 2 years
Between 2-5 years
More than 5 years
Help Us Support You
We are here to support you.
If there's anything you need to make the process more accessible or comfortable, please let us know.