Senior Data Engineer: Cloud Pipelines & Data Lake Lead

NewDay

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

2 days ago
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Job summary

NewDay is seeking a Senior Data Engineer in London to lead the design, build and evolution of core data pipelines powering analytics, reporting and advanced data science. You will own ingestion/transformation pipelines, optimize the Data Lake, and drive automation while mentoring engineers and shaping engineering standards.

The role requires hands-on DBT, Python and SQL experience, plus expertise in data modelling, ETL/ELT and scalable pipelines.

Qualifications

  • Hands-on experience using DBT to design, build and improve data transformations within a complex data environment.
  • Engineering experience using Python and SQL, with the ability to solve complex data problems at scale.
  • Knowledge of data modelling, ETL/ELT, data warehousing and scalable data pipelines.
  • Experience leading and developing Data Engineers, combining hands-on work with coaching and delivery ownership.
  • Interest in AI and automation to improve engineering quality and productivity.

Responsibilities

  • Lead design and evolution of core pipelines and platforms powering analytics and data science across the business.
  • Own ingestion/ transformation pipelines and automate BAU to reduce manual effort.
  • Guide Agile delivery, mentor engineers, and ensure cloud-native data solutions are shipped via CI/CD.
  • Influence data engineering standards, patterns, and governance across the organisation.

Skills

DBT
Python
SQL
Data modelling
ETL/ELT
Data warehousing
Leadership
Cloud
AI interest

Tools

Spark
Scala
Airflow
Snowflake
AWS
EMR
Athena
Lambda
S3
Glue
Step Functions
Git
GitHub
CI/CD (GitHub Actions)
CI/CD

Job description

NewDay is seeking a Senior Data Engineer in London to lead the design, build and evolution of core data pipelines powering analytics, reporting and advanced data science. You will own ingestion/transformation pipelines, optimize the Data Lake, and drive automation while mentoring engineers and shaping engineering standards.

The role requires hands-on DBT, Python and SQL experience, plus expertise in data modelling, ETL/ELT and scalable pipelines.

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