Senior Data Engineer — Databricks & Cloud Modernisation

Synapri

Greater London

On-site

GBP 39,000 - 57,000

Full time

14 days+

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Job summary

Synapri, a leading consultancy, is seeking two experienced Data Engineers to join a major data transformation and cloud modernisation programme within a large banking organisation in London.

You will design, build and optimise scalable ETL/ELT pipelines using Databricks, Python, SQL and Oracle, migrate data assets from legacy platforms to modern cloud environments, and ensure data quality and security in a highly regulated context.

Qualifications

  • 5+ years of experience as a Data Engineer.
  • Hands-on Databricks experience.
  • Advanced SQL development skills.
  • Strong Python programming skills.
  • Extensive experience with Oracle databases.
  • Experience building enterprise data pipelines in the cloud.
  • Knowledge of data modelling, performance optimisation and data quality controls.

Responsibilities

  • Design, build, and optimise scalable ETL/ELT data pipelines.
  • Develop data solutions using Databricks, Python, SQL and Oracle.
  • Support migration of data assets to modern cloud environments.
  • Deliver enterprise-grade data solutions in regulated environments.
  • Ensure data quality, integrity, performance and security.
  • Collaborate with stakeholders to translate requirements into data solutions.
  • Troubleshoot production issues and implement fixes.
  • Contribute to continuous improvement of the data platform and practices.

Skills

Databricks
SQL
Python
Oracle
Data pipelines
Data modelling
Data quality
Cloud platforms

Job description

Synapri, a leading consultancy, is seeking two experienced Data Engineers to join a major data transformation and cloud modernisation programme within a large banking organisation in London.

You will design, build and optimise scalable ETL/ELT pipelines using Databricks, Python, SQL and Oracle, migrate data assets from legacy platforms to modern cloud environments, and ensure data quality and security in a highly regulated context.

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