Data Engineering Maestro: Real‑Time & Big Data

Critical Techworks; Braga; On-site; EUR 45,000 - 65,000; Full time

Job summary

Critical TechWorks in Portugal is seeking a Data Engineer to help shape the data landscape for automotive innovation. You will design and maintain data pipelines, model data, ensure quality, and optimize systems across large-scale data platforms.

You’ll work with AWS, Terraform, SQL and multiple programming languages (Python/Java/JavaScript/Scala), plus Spark, Hadoop, Hive, Cassandra, Airflow to deliver real-time insights.

Qualifications

• At least 3 years of experience in data engineering.
• Experience with public cloud platforms, especially AWS.
• Experience with IaC tools, such as Terraform.
• Ability to code in Python, Java, JavaScript, or Scala.
• Experience with data-driven architectures, preferably in public cloud platforms.
• Experience using SQL for data querying.
• Experience with Big Data and data modelling.
• Advanced knowledge of multiple SQL/noSQL environments and a solid rationale for tool selection.
• Familiarity with Big Data tools (Hadoop, Cassandra, Hive, Spark, etc.).
• Experience with Airflow is a big plus.

Responsibilities

• Data Pipeline Development: design and maintain robust data pipelines.
• Data Modeling: craft and optimize data models for efficient retrieval.
• Data Quality Assurance: implement testing and validation for data accuracy.
• Troubleshooting and System Optimization: identify and solve data processing issues.
• Big Data Processing: work on large-scale data projects using Spark.
• Real-Time Data Streaming: build real-time data processing and insights.

Skills

Data Pipeline

Data Modeling

Data Quality

Troubleshooting

Big Data

Real-Time Streaming

Tools

Apache Spark

Terraform

SQL

Hadoop

Cassandra

Apache Hive

Airflow

Job description

Critical TechWorks in Portugal is seeking a Data Engineer to help shape the data landscape for automotive innovation. You will design and maintain data pipelines, model data, ensure quality, and optimize systems across large-scale data platforms.

You’ll work with AWS, Terraform, SQL and multiple programming languages (Python/Java/JavaScript/Scala), plus Spark, Hadoop, Hive, Cassandra, Airflow to deliver real-time insights.