Senior Data Engineer

FDJ UNITED; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

FDJ UNITED is seeking a Senior Data Engineer to build and optimise scalable ETL/ELT pipelines across a multi-cloud platform using Python, Spark, Airflow and dbt.

In an agile team, you will modernise the data platform, design Lakehouse architectures with S3 and Iceberg/Delta, and implement data quality, observability and CI/CD.

Qualifications

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

Responsibilities

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

Skills

Python

SQL

Airflow

Spark/PySpark

dbt

CI/CD

Lakehouse

Dimensional modeling

Cloud DW

S3

Athena

Redshift

Data quality

Monitoring

Schema evolution

Job description

A hands-on engineering role building and optimising scalable ETL/ELT pipelines and Lakehouse architectures across a modern multi-cloud platform using Python, Spark, Airflow, and dbt.

Requires 5+ years of data engineering experience with strong expertise in SQL, CI/CD, data quality frameworks, and cloud technologies (S3, Athena, Redshift), with a plus for streaming and AI tooling experience.

Overview

A Senior Data Engineer position within an agile team, focused on building scalable data pipelines and modernising a multi-cloud data platform. The role involves working with streaming technologies, Lakehouse architectures, and leveraging automation/AI to improve efficiency.

What you will do

• 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.

Your experience

Required

• 5+ years in data engineering
• Strong Python, advanced SQL, Airflow, Spark/PySpark, dbt, and CI/CD proficiency
• Experience with Lakehouse architectures, dimensional modeling, and cloud data warehouses (S3, Athena, Redshift)
• Data quality frameworks, monitoring, and schema evolution expertise

Nice-to-Haves

• AI coding assistants (Cursor, Claude Code, Copilot)

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