Data Platform Engineer — Scale Pipelines & Data Lakes

NewDay; Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Job summary

NewDay is seeking a Data Engineer in London to design, build, and evolve core pipelines powering analytics, reporting, and data science. You will own the Data Lake, drive scalable ETL/ELT processes, and contribute to a resilient data platform within a hybrid work model.

You’ll work in an Agile environment, collaborating across teams to deliver cloud-native data solutions and continuously improve data reliability and insights. AI and automation interests welcome.

Qualifications

• Hands-on experience with DBT and Apache Airflow to build reliable pipelines.
• Python and SQL expertise to solve complex data problems at scale.
• Knowledge of data modelling, ETL/ELT, and data warehousing concepts.
• Experience designing modular, scalable data engineering solutions.
• Ability to lead and coach Data Engineers and own delivery.
• Interest in AI and automation to improve engineering quality.

Responsibilities

• Develop and improve ingestion and transformation pipelines using Spark, Scala, Python, AWS, DBT, and Snowflake.
• Own and evolve the Data Lake and data platform to be robust and scalable.
• Manage ETL/ELT processing, table refreshes, and BAU activities.
• Deliver cloud-native data solutions within Agile CI/CD pipelines.
• Collaborate across teams to integrate data from multiple sources and solve complex data challenges.

Skills

DBT

Apache Airflow

Python

SQL

Spark

Scala

AWS

Snowflake

Data modelling

ETL/ELT

Data warehousing

Tools

DBT

Apache Airflow

Snowflake

Spark

AWS

Job description

NewDay is seeking a Data Engineer in London to design, build, and evolve core pipelines powering analytics, reporting, and data science. You will own the Data Lake, drive scalable ETL/ELT processes, and contribute to a resilient data platform within a hybrid work model.

You’ll work in an Agile environment, collaborating across teams to deliver cloud-native data solutions and continuously improve data reliability and insights. AI and automation interests welcome.