🏛 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
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This role is a great fit if you have:
Solid experience designing and implementing end-to-end data pipelines leveraging AWS services and Snowflake, with a strong focus on scalable, cloud-native architectures.
Hands-on expertise with Apache Spark, PySpark, and modular data ingestion and transformation components.
Proficiency in AWS services such as S3, Glue, Lambda, Redshift, Athena, Step Functions, and Secrets Manager.
Strong programming skills in Python and SQL, plus automation and scripting capabilities.
Experience with CI/CD pipelines (GitHub Actions, AWS CodePipeline, or similar) and Git-based version control.
A solid understanding of Lakehouse and modern data platform principles, supporting both 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.
...and some more points:
Excellent written and verbal English is required.
Frequent on-site travel is required.
Bonus points if you have:
Familiarity with data cataloging and governance tools such as AWS Glue Data Catalog, Alation, or Collibra.
Certifications such as AWS Certified Data Analytics, AWS Data Engineer, or Snowflake certifications.
Experience with serverless architectures and advanced automation on AWS.
Previous mentoring experience, contributing to DataOps best practices and the creation of reusable, scalable components.
⚜️ What You’ll Be Doing
Designing, building, and maintaining scalable data pipelines on AWS to support analytics, reporting, and downstream data products.
Developing and optimizing ETL/ELT processes using services such as AWS Glue, Lambda, and Spark-based frameworks, ensuring reliability and performance.
Managing and structuring data stored in Amazon S3 following best practices for data lakes and modern lakehouse-style architectures.
Implementing and maintaining data models in analytical data stores such as Snowflake or Amazon Redshift to enable efficient querying and consumption.
Ensuring data quality, consistency, and reliability through validation checks, monitoring, and alerting mechanisms.
Collaborating closely with analytics, data science, and business teams to translate requirements into robust data solutions.
Automating data workflows and deployments using CI/CD pipelines and infrastructure as code tools, primarily Terraform.
Optimizing data pipelines and queries with a focus on performance, cost efficiency, and scalability within the AWS ecosystem.
Implementing security and governance best practices, including IAM roles, encryption, and secure access to data assets.
Maintaining clear technical documentation and contributing to shared standards, reusable components, and DataOps best practices.
(…and there’s always space to explore what excites you.)
⚜️ What You’ll Experience
⚜️ 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.
We do not tolerate any form of discrimination. We maintain a clear 'no assholes' policy, applying to both our team and our clients, ensuring a respectful and positive dynamic for all.
We’re committed to an inclusive and accessible recruitment process. So please let us know how we can best support you on the application form.
Apply now if this sounds like a fit. We’d love to meet you.