Senior Data Engineer: Lakehouse & ETL on Multi-Cloud

Fdj United; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

Fdj United is seeking a Senior Data Engineer to design and optimize scalable ETL/ELT pipelines and Lakehouse architectures on a modern multi-cloud platform using Python, Spark, Airflow and dbt. The role requires 5+ years of data engineering experience with strong SQL, CI/CD, data quality frameworks, and cloud technologies such as S3, Athena and Redshift; exposure to streaming and AI tooling is a plus.

You will work in an agile team, building reusable data pipelines, enforcing data contracts, and

Qualifications

• 5+ years in data engineering.
• Strong Python, SQL, Airflow, Spark/PySpark, dbt and CI/CD.
• Experience with Lakehouse architectures and cloud warehouses (S3, Athena, Redshift).

Responsibilities

• Build ETL/ELT pipelines and optimize Spark/PySpark jobs.
• Design Lakehouse architectures using S3 and modern table formats.
• Create reusable frameworks, CI/CD pipelines, and observability.
• Implement data quality frameworks, data contracts, and SLIs/SLOs.

Skills

Python

SQL

Airflow

Spark/PySpark

dbt

CI/CD

Data quality

Cloud platforms

Tools

S3

Athena

Redshift

Iceberg

Delta Lake

Job description

Fdj United is seeking a Senior Data Engineer to design and optimize scalable ETL/ELT pipelines and Lakehouse architectures on a modern multi-cloud platform using Python, Spark, Airflow and dbt. The role requires 5+ years of data engineering experience with strong SQL, CI/CD, data quality frameworks, and cloud technologies such as S3, Athena and Redshift; exposure to streaming and AI tooling is a plus.

You will work in an agile team, building reusable data pipelines, enforcing data contracts, and