Senior Data Engineer

Imaginary Cloud; Portugal; Remote; EUR 39.000 - 61.000; Vollzeit

Benefits dieser Stelle

Health and dental insurance

Remote-first company

Flexible working hours

Zusammenfassung

Imaginary Cloud in Portugal seeks an experienced Data Engineer to design and optimise data pipelines using Databricks, PySpark, and SQL. Work with global clients in a remote-first, human-centric environment and grow through collaboration with multidisciplinary teams.

You will contribute to data workloads, ensure data quality, and participate in CI/CD practices, while enjoying flexible hours and a competitive salary. Fluency in English is required.

Qualifikationen

• 5+ years of working experience in Data Engineering or closely related role.
• Academic background in Computer Science, Data Engineering, Data Science, or related quantitative field
• Hands-on production experience in Databricks
• Significant experience building data workloads in Databricks, with PySpark and Delta Lake
• Strong proficiency with SQL — window functions, complex joins and query tuning
• Experience with stream ing or incremental ingestion (Structured Streaming, Auto Loader, or equivalent) and the patterns that keep it correct: idempotency, checkpointing and schema evolution.
• Data modelling for BI and analytics
• Good understanding of testing and CI/CD for Databricks workflows, alongside the softw are engineering and DevOps basics — git, code review, linters, unit tests and CI/CD pipelines are things you use daily
• Data quality practice: testing data as well as code, using pipeline expectations, dbt tests or similar
• Outstanding proficiency in using Agentic AI tools like Cursor IDE and GitHub Copilot to accelerate code development, refactoring, and complex debugging
• Analytical mind with a strong problem-solving aptitude
• Experience collaborating with engineering and product development teams
• Fluency in English, both spoken and written
• We seek team members who live in Portugal or are willing and legally qualified to live and work there

Aufgaben

• Contribute to data engineering projects for global clients.
• Collaborate with multidisciplinary teams across industries to deliver scalable analytics.
• Develop and optimize data pipelines using Databricks, PySpark, and SQL.
• Implement CI/CD practices and ensure data quality and governance.
• Mentor peers and participate in code reviews and knowledge sharing.

Kenntnisse

Databricks

PySpark

SQL

Structured Streaming

Data modelling

Git

CI/CD

Python

Cursor IDE

GitHub Copilot

Ausbildung

Bachelor's degree in Computer Science or related field

Tools

Docker

Cursor IDE

GitHub Copilot

Jobbeschreibung

If you're passionate about technology and ready for a challenge, join our team of talented individuals and show your technical skills, creativity, and drive for impact.

You'll work with the best in the industry in a supportive, happy, and human-centric environment, making seamless technology. That’s why we were recognized as Best Workplace® in Europe (medium companies), Best Quality of Life Company® and the 2nd Best Great Place to Work® in Portugalby Great Place to Work®. See for yourself by checking our Glassdoor reviews.

What exciting projects will you have to make an impact and work on?

At Imaginary Cloud, our work improves and simplifies people's lives by creating easy and intuitive digital products. Our day-to-day tasks include development, problem-solving, management, and human interaction.

Together, we will drive innovation by creating innovative projects for some of the best companies around the world. You'll be able to grow as you engage with multidisciplinary teams, multiple industries, and projects, overcoming the many challenges that will test and build your skills.

Here's an overview of the technical skills you'll likely have to embark on our team:

5+ years of working experience in Data Engineering or closely related role

• Academic background in Computer Science, Data Engineering, Data Science, or related quantitative field

• Hands-on production experience in Databricks

• Significant experience building data workloads in Databricks, with a very good understanding of PySpark and Delta Lake

• Strong proficiency with SQL — window functions, complex joins and query tuning

• Experience with stream ing or incremental ingestion (Structured Streaming, Auto Loader, or equivalent) and the patterns that keep it correct: idempotency, checkpointing and schema evolution.

• Data modelling for BI and analytics

• Good understanding of testing and CI/CD for Databricks workflows, alongside the softw are engineering and DevOps basics — git, code review, linters, unit tests and CI/CD pipelines are things you use daily

• Data quality practice: testing data as well as code, using pipeline expectations, dbt tests or similar

• Outstanding proficiency in using Agentic AI tools like Cursor IDE and GitHub Copilot to accelerate code development, refactoring, and complex debugging

• Analytical mind with a strong problem-solving aptitude

• Experience collaborating with engineering and product development teams

• Fluency in English, both spoken and written

• We seek team members who live in Portugal or are willing and legally qualified to live and work there

The salary range for this position is 39 360,00€ - 60 600,00€ gross per year.

Get to know our tech stack:

• Python / PySpark / Django

• Javascript (React.js, Angular.js,Vue.js, Node.js)

• Ruby / Ruby on Rails

• Git

• SQL (MySQL / PostgreSQL)

• Mobile development (iOS, Android, React Native)

• Linux / Mac OS - command line

• Automated provisioning tools (Docker / Ansible / Capistrano)

• NoSQL (Mongo, Redis, etc.)

• Photoshop / Figma

We want you to feel comfortable here. Get the best of your potential with our benefits:

• Salary according to your experience and performance

• Paid sick days

• Health and dental insurance

• Comfort budget

What you get:

• A remote-first company

• Flexible working hours

• Global projects with industry-leading clients

• A human-centric culture that values people and empowers them

• Informal environment

• Team events to share knowledge and celebrate collectively

• Mentoring and performance appraisals for solid growth potential