Hybrid Data Engineer: Databricks, PySpark & Analytics

Ignite Next GmbH; Porto; Híbrido; EUR 60 000 - 75 000; Tempo integral

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Resumo da oferta

CELUS is hiring a Data Engineer (F/M/D) to design, build and maintain scalable data pipelines and ingestion processes that power analytics across our product and the wider business.

Your responsibilities include building ETL pipelines with Databricks and PySpark, configuring Snowplow tracking, and developing dbt models to deliver trusted datasets for self-service analytics. You will collaborate with engineers and stakeholders to improve data quality and enable seamless integrations.

Qualificações

• Bachelor's degree in a technical field.
• Hands-on experience as a Data Engineer building ETL/data ingestion pipelines.
• Strong experience with Databricks, SQL and Python/PySpark.
• Experience with Snowplow for event tracking and analytics data collection; dbt is advantageous.

Responsabilidades

• Design, build, and maintain scalable ETL and data ingestion pipelines using Databricks and PySpark.
• Configure and support Snowplow event tracking and data collection for analytics.
• Develop data transformation and semantic models with SQL and dbt to deliver trusted datasets.
• Collaborate with engineers and stakeholders to meet data requirements and support integrations across the data platform.
• Monitor pipeline performance and mentor colleagues to enhance data engineering capabilities.

Conhecimentos

Databricks

SQL

Python

PySpark

ETL pipelines

Snowplow

dbt

PostgreSQL

MongoDB

DuckDB

Mentoring

Data ingestion

Formação académica

Bachelor's degree in Computer Science / IT / Data Engineering

Ferramentas

Databricks

Snowplow

dbt

PostgreSQL

MongoDB

DuckDB

Python

PySpark

Descrição da oferta de emprego

CELUS is hiring a Data Engineer (F/M/D) to design, build and maintain scalable data pipelines and ingestion processes that power analytics across our product and the wider business.

Your responsibilities include building ETL pipelines with Databricks and PySpark, configuring Snowplow tracking, and developing dbt models to deliver trusted datasets for self-service analytics. You will collaborate with engineers and stakeholders to improve data quality and enable seamless integrations.