Data Engineer

Digital Waffle; Greater London; Hybrid; GBP 65,000 - 85,000; Full time

Job summary

A London-based software company is seeking a Data Engineer to build and maintain data pipelines, design scalable data architectures, and collaborate closely with teams. Ideal candidates are skilled in Python, SQL, and modern data tools, and are eager to tackle complex data challenges in a hybrid work environment while enjoying competitive pay and a supportive team culture.

Benefits

Competitive pay

Generous bonus

Flexibility

Qualifications

• Hands-on experience in Python and SQL.
• Experience with modern data tools like dbt and Airflow.
• Knowledge of cloud platforms like AWS, GCP, or Azure.

Responsibilities

• Build and own data pipelines connecting product, analytics, and operations.
• Design scalable architectures using tools like dbt, Airflow, and Snowflake/BigQuery.
• Work with engineers and product teams to make data accessible.

Skills

Python

SQL

Data modelling

ETL best practices

Cloud platforms (AWS, GCP, Azure)

Modern data tools (dbt, Airflow)

Job description

Data Engineer

London
£65-85k + 15% bonus

A London-based software company on a mission to make data work smarter. Their products power thousands of businesses, and as they grow, they're building a data stack that scales with their ambition.

They're looking for a Data Engineer who's excited about designing modern data systems, experimenting with new tech, and helping shape how data flows through everything they build.

What You'll Do

• Build and own data pipelines that connect product, analytics, and operations
• Design scalable architectures using tools like dbt, Airflow, and Snowflake / BigQuery
• Work with engineers and product teams to make data easily accessible and actionable
• Help evolve their data warehouse and ensure high data quality and reliability
• Experiment with automation, streaming data, and ML-ready datasets
• Influence technical decisions across the stack - they love new ideas

What You Bring

• Hands-on experience in Python and SQL
• Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.)
• Knowledge of cloud platforms like AWS, GCP, or Azure
• An understanding of data modelling and ETL best practices
• Curiosity, creativity, and a mindset that thrives in fast-moving environments

Why You'll Love It

• Work on meaningful data challenges that directly impact their products
• Small, high-impact team with room to experiment and grow
• Hybrid setup with a central London HQ
• Competitive pay, generous (and achievable bonus), and genuine flexibility
• A team that actually cares about building great tech

If you love solving tough data problems and want to help shape the data culture of a growing software company, they'd love to meet you.