Data Platform Engineer: Scale Data Pipelines & Insights

NewDay Technology Limited

Greater London

On-site

GBP 70,000 - 110,000

Full time

3 days ago
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Job summary

NewDay Technology Limited in the United Kingdom is seeking a Data Platform Engineer to architect and build scalable data pipelines and data lake services.

You will own ETL/ELT, collaborate in Agile teams, and drive CI/CD for cloud-native data solutions built on Snowflake, AWS, Spark and Python.

If you are passionate about data quality, scalable architectures, and mentoring others, join us.

Qualifications

  • Hands-on experience with DBT and Apache Airflow.
  • Strong Python and SQL development skills.
  • Experience with data modelling, ETL/ELT, and data warehousing.
  • Ability to lead and mentor Data Engineers.
  • Interest in AI and automation.

Responsibilities

  • Develop and improve ingestion and transformation pipelines using Spark, Scala, Python, AWS, DBT, and Snowflake.
  • Own and improve the organisation's Data Lake environment and data platform.
  • Ensure it remains robust, scalable, and future‑ready.
  • Own ETL processing, table refreshes, defect resolution, and other BAU activities.
  • Continuously optimising performance through concurrency, multi‑threading, automation, and best‑practice engineering patterns.
  • Work within Agile delivery frameworks to ship high‑quality, cloud‑native data solutions via CI/CD.
  • Integrate data from multiple sources and solve sophisticated data challenges with creativity.
  • Design and develop modular, reusable scalable and configurable data engineering solutions that adhere to the DRY principle, minimising manual intervention and promote automation.

Skills

DBT
Apache Airflow
Python
SQL
Data modelling
ETL/ELT
Data warehousing

Job description

NewDay Technology Limited in the United Kingdom is seeking a Data Platform Engineer to architect and build scalable data pipelines and data lake services.

You will own ETL/ELT, collaborate in Agile teams, and drive CI/CD for cloud-native data solutions built on Snowflake, AWS, Spark and Python.

If you are passionate about data quality, scalable architectures, and mentoring others, join us.

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