Senior Lakehouse & Data Pipeline Engineer (Multi-Cloud)

Fdj United

Stockholms kommun

On-site

SEK 900,000 - 1,300,000

Full time

2 days ago

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Job summary

Fdj United in Sweden is seeking a Senior Data Engineer to build and optimize scalable ETL/ELT pipelines across a multi-cloud platform using Python, Spark, Airflow, and dbt. You will work within an agile team to modernize our data platform and enable real-time insights.

The role emphasizes data quality, observability, and CI/CD practices to ensure reliable data contracts and scalable lakehouse architectures on S3/Athena/Redshift.

Qualifications

5+ years of data engineering experience.
Strong Python and SQL skills, plus Airflow, Spark/PySpark, dbt, and CI/CD proficiency.
Experience with Lakehouse architectures and cloud data warehouses (S3, Athena, Redshift).
Data quality frameworks, monitoring, and schema evolution expertise.

Responsibilities

Pipeline Development: Build ETL/ELT pipelines (Python, SQL), optimize Spark/PySpark jobs, manage Airflow DAGs, and implement dbt transformations.
Lakehouse Architecture: Design medallion-style architectures using S3 and modern table formats (Iceberg, Delta Lake) with optimized layouts.
Platform Infrastructure: Create reusable frameworks, enforce data contracts, build CI/CD pipelines, and establish observability practices.
Data Quality: Implement validation frameworks, data contracts, and SLIs/SLOs for critical pipelines.

Skills

5+ years data engineering

Python

SQL

Airflow

Spark/PySpark

dbt

CI/CD

Data quality frameworks

Tools

Athena

Redshift

Iceberg

Delta Lake

Job description

The role emphasizes data quality, observability, and CI/CD practices to ensure reliable data contracts and scalable lakehouse architectures on S3/Athena/Redshift.

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