Dataops Engineer

Act Digital; Lisboa; Presencial; EUR 60 000 - 86 000; Tempo integral

Resumo da oferta

Act Digital seeks an experienced Data Engineer to join an international project in a modern, cloud-based data ecosystem. You will build scalable data platforms, design robust pipelines, and collaborate with cutting-edge technologies in a collaborative environment.

The role requires 3+ years in Data Engineering, strong SQL/data modelling, Python, and hands-on experience with Airflow, DBT, Spark/Flink, and AWS services. English proficiency at C1 is required.

Qualificações

• 3+ years of experience in Data Engineering.
• Strong SQL and data modelling skills.
• Python programming; Scala/Java/Go a plus.

Conhecimentos

SQL

Python

Data modelling

DevOps practices

Airflow

DBT

Spark

Flink

AWS cloud

CI/CD

IaC (CDK/CloudFormation)

Streaming architectures

Kafka/Kinesis

Monitoring (Grafana/CloudWatch)

Redshift/Snowflake

English (C1)

Ferramentas

Apache Airflow

DBT

Apache Spark

Apache Flink

AWS (Glue/EMR/Redshift/S3/Lambda/Kinesis)

CI/CD tools (GitHub Actions/GitLab CI/Jenkins/CircleCI)

IaC (CDK/CloudFormation)

Kafka/Kinesis

Grafana

CloudWatch

Descrição da oferta de emprego

Descrição do cargo

We are looking for an experienced Data Engineer to join an international project, working within a modern cloud-based data ecosystem. This is an excellent opportunity for professionals passionate about building scalable data platforms, designing robust pipelines, and working with cutting‑edge technologies in a collaborative environment.

Key Requirements

• 3+ years of experience in Data Engineering, with exposure to DevOps and Platform Engineering practices.
• Strong expertise in SQL and data modelling, including dimensional, normalized, and lakehouse architectures.
• Solid programming skills in Python ; knowledge of Scala, Java, or Go is a plus.
• Hands‑on experience with data orchestration and transformation tools such as Apache Airflow and DBT .
• Experience working with distributed data processing frameworks such as Apache Spark , Apache Flink , or similar technologies.
• Advanced knowledge of AWS , including services such as Glue, EMR, Redshift, Athena, S3, Lambda, and Kinesis.
• Experience with CI/CD pipelines using tools such as GitHub Actions, GitLab CI, Jenkins, or CircleCI .
• Strong understanding of Infrastructure as Code (IaC) using CDK and CloudFormation.
• Experience with streaming and event-driven architectures using technologies such as Kafka, Kinesis, Flink, or Pub/Sub .
• Knowledge of monitoring and observability tools, including Grafana and CloudWatch .
• Experience with modern data warehouse platforms such as Amazon Redshift and Snowflake .
• English (C1 level required)