Data Engineer

Vortech PCI Group; España; Hybrid; EUR 55,000 - 75,000; Full time

Job summary

Vortech PCI Group in Valencia, Spain is seeking a Data Engineer with 5+ years of experience to design, build and optimize scalable data platforms and pipelines. The role blends hands-on engineering with technical ownership of real-time data processing and cloud data platforms.

You will collaborate with Data Science and ML teams, drive performance and cost optimization, and contribute to data governance and best practices within a hybrid work model.

Qualifications

• 5+ years of experience in Data Engineering.
• Experience with Spark, Kafka, and Hadoop.
• Experience with cloud data platforms Snowflake, Databricks, or BigQuery.
• Experience with orchestration tools Airflow, Prefect, or Dagster.
• Knowledge of stream processing Kafka Streams or Flink.
• Experience with data lake architectures.
• Knowledge of DataOps, MLOps, and Infrastructure as Code.
• Strong understanding of data pipeline performance and cost optimization.
• Ability to design scalable solutions and influence technical architecture decisions.
• Availability to work in a hybrid model in Valencia, Spain.

Responsibilities

• Design and implement scalable data architectures and data pipelines.
• Lead data platform development and technical initiatives.
• Build real-time streaming and data processing solutions.
• Optimize data pipelines for performance, scalability, and cost.
• Collaborate with Data Science and ML teams on data and machine learning pipelines.
• Promote data engineering best practices and mentor junior engineers.

Tools

Spark

Kafka

Hadoop

Snowflake

Databricks

BigQuery

Airflow

Prefect

Dagster

Kafka Streams

Flink

Data Lake

DataOps

MLOps

Infrastructure as Code

Job description

We are looking for a Data Engineer with at least 5 years of experience to design, build, and optimize scalable data platforms and pipelines.

The role combines hands‑on data engineering with technical ownership, including real‑time data processing, cloud data platforms, performance and cost optimization, and collaboration with Data Science and Machine Learning teams.

The position follows a hybrid working model in Valencia, Spain.

Responsibilities

• Design and implement scalable data architectures and data pipelines.
• Lead data platform development and technical initiatives.
• Build real‑time streaming and data processing solutions.
• Optimize data pipelines for performance, scalability, and cost.
• Collaborate with Data Science and ML teams on data and machine learning pipelines.
• Promote data engineering best practices and mentor junior engineers.

Requirements

• 5+ years of experience in Data Engineering.
• Experience with Big Data technologies such as Spark, Kafka, and Hadoop.
• Experience with cloud data platforms such as Snowflake, Databricks, or BigQuery.
• Experience with orchestration tools such as Airflow, Prefect, or Dagster.
• Knowledge of stream processing technologies such as Kafka Streams or Flink.
• Experience with data lake architectures.
• Knowledge of DataOps, MLOps, and Infrastructure as Code.
• Strong understanding of data pipeline performance and cost optimization.
• Ability to design scalable solutions and influence technical architecture decisions.
• Availability to work in a hybrid model in Valencia, Spain.

Nice to have

• Knowledge of Data Mesh and Data Fabric concepts.
• Experience with enterprise data platform architecture.
• Knowledge of data governance and compliance.
• Experience evaluating data technologies and vendors.
• Exposure to enterprise data platform transformation initiatives.