Lead Data Engineer (SC Cleared) — AWS, Spark, Lakehouse

Credera

Newcastle upon Tyne

Vor Ort

GBP 84.000 - 100.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Competitive salary
Comprehensive benefits
Personalised development opportunities

Zusammenfassung

Credera is seeking a Lead Engineer to join a fast-growing technology and engineering organisation in the UK. You will focus on client work, while also contributing to internal projects and staff development, building data platforms on cloud-native or data warehouse solutions, and delivering business-critical client projects.

You will work in a matrix organisation, upskilling engineers and delivering across data pipelines, governance, and AI workloads, including Generative AI capabilities.

Qualifikationen

  • Lead multiple, complex areas of data engineering delivery to time, cost and quality with minimal direction.
  • Experience effectively and inclusively managing teams to deliver agreed scope, acting as escalation point.
  • Demonstrable experience of building data pipelines using Spark, Python or SQL.
  • Experience with AWS and its data/AI services such as SageMaker.

Aufgaben

  • Lead multiple, complex areas of data engineering delivery to time, cost and quality with minimal direction.
  • Manage teams to deliver agreed scope within a matrix organisation and escalate decisions.
  • Partner with senior stakeholders to drive delivery and build trust across the landscape.

Kenntnisse

Spark
Python
SQL
AWS
SageMaker
Databricks
Snowflake
Data Lakes
Data Mesh
Generative AI
Leadership
Mentoring

Jobbeschreibung

Credera is seeking a Lead Engineer to join a fast-growing technology and engineering organisation in the UK. You will focus on client work, while also contributing to internal projects and staff development, building data platforms on cloud-native or data warehouse solutions, and delivering business-critical client projects.

You will work in a matrix organisation, upskilling engineers and delivering across data pipelines, governance, and AI workloads, including Generative AI capabilities.

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