Data Engineer

💥 Would you like to join a rapidly expanding company? 💥

What if we told you that, in just 19 years, PrimeIT has grown to 2430 employees?

Imagine being part of this story.

👉🏼 Discover the 10 benefits of being a Primer (https://www.youtube.com/

watch?v=QoHqgxFZHew) and see why we are much more than just a technology company.

🔎 We are looking for a Data Engineer

Responsibilities:

• Design, build, and maintain scalable, reliable data pipelines (batch and real-time), transforming complex business requirements into production-ready data solutions.
• Develop and optimize ETL/ELT processes to ingest, transform, and integrate data from multiple sources (databases, APIs, files, streaming platforms).
• Design and manage data models, data warehouses, and data lakes/lakehouses that support analytics, BI, and data science use cases.
• Ensure data quality, consistency, and availability through validation, testing, monitoring, and observability practices.
• Implement CI/CD pipelines, automate data workflows, and orchestrate jobs and dependencies across the data platform.
• Optimize performance, scalability, and cost efficiency of data infrastructure and queries.
• Collaborate closely with software engineers, data analysts, data scientists, and product teams to deliver data solutions aligned with business objectives.
• Contribute to data architecture decisions, best practices, and continuous improvement initiatives across projects.

Requirements:

• 3 years of experience in Data Engineering, Software Engineering, or a similar role.
• Strong proficiency in SQL and at least one programming language for data processing (e.g. Python, Scala, or Java).
• Solid experience building and maintaining ETL/ELT pipelines and working with data warehousing concepts.
• Knowledge of data modelling (relational and dimensional) and working with both structured and unstructured data.
• Experience with cloud data platforms (e.g. AWS, Azure, or GCP).
• Familiarity with workflow orchestration tools and version control (e.g. Airflow, Git).
• Understanding of data governance, data quality, and Agile methodologies.
• Fluent English.

Nice to have:

• Experience with big data and distributed processing technologies (e.g. Spark, Databricks, Kafka, Hadoop).
• Experience with modern data stack tools (e.g. Snowflake, BigQuery, Redshift, dbt, Microsoft Fabric).
• Knowledge of DataOps/MLOps practices, CI/CD, Docker, and infrastructure as code (e.g. Terraform).
• Experience with streaming and real-time data architectures.
• Familiarity with data security, privacy, and compliance practices (e.g. GDPR).
• Relevant certifications in cloud or data platforms (e.g. AWS, Azure, Databricks, Snowflake).

Location: Lisboa

Work Model: Hybrid

Level of Experience: Mid (3 to 6 years)

Salary Package & Benefits: €1,200 to €2,000 (salary base) Food Allowance Flex Benefits

Need more reasons?

📩 Send us your CV and discover how far your career can go with us! mspinto@primeit.pt