Senior Data Engineer at LinkedIn
lancashire, Lancashire - England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

18 Nov, 26

Salary

0.0

Posted On

20 Aug, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

This role is ideal for a senior engineering professional who combines strong technical expertise with a consultative approach. You will work closely with business stakeholders, Data Architects, Product Owners, and engineering teams to shape solutions, provide technical direction, and remain actively involved in the hands-on delivery of critical data initiatives.


You will be responsible for designing and building scalable data solutions, establishing engineering best practices, and driving the successful migration of data assets from legacy technologies to a modern cloud-based architecture. While this role carries significant influence across the programme, it is not purely strategic and requires someone who enjoys being deeply involved in the technical implementation.


Key Responsibilities

  • Lead the design and delivery of scalable, cloud-native data solutions across multiple workstreams.
  • Work closely with business and technical stakeholders to understand requirements and translate them into practical data solutions.
  • Provide technical leadership and guidance to Data Engineers and delivery teams.
  • Remain hands-on with the design, development, testing, and deployment of data pipelines and data products.
  • Design and implement modern Lakehouse architectures using Databricks and AWS services.
  • Establish engineering standards, development practices, and data quality frameworks.
  • Collaborate with Data Architects to deliver target-state platform architecture and technical roadmaps.
  • Support and execute the migration of data assets from legacy platforms to modern cloud technologies.
  • Drive optimisation, performance tuning, and operational excellence across data platforms.
  • Contribute to architecture reviews, governance forums, and technical design discussions.
  • Mentor engineers and promote engineering excellence across the wider team.
  • Act as a trusted advisor to stakeholders, balancing business objectives with technical best practices.


Essential Experience

Technical Leadership & Delivery

  • Proven experience operating as a Principal Data Engineer, Lead Data Engineer, or Senior Data Engineer within large enterprise environments.
  • Experience delivering complex data transformation and cloud modernisation programmes.
  • Strong stakeholder management and communication skills.
  • Ability to influence technical direction while remaining actively involved in hands-on delivery.
  • Experience working across cross-functional teams including Architecture, Product, Engineering, and Business stakeholders.


Data Engineering & Platforms

  • Databricks
  • Delta Lake
  • Unity Catalog
  • dbt
  • Spark / PySpark
  • Data pipeline development and optimisation
  • Lakehouse architecture
  • Data integration and ETL/ELT frameworks
  • Data platform design and implementation


Cloud Technologies

AWS

  • S3
  • Glue
  • Airflow
  • IAM
  • Lambda (desirable)


Data Modelling & Architecture

  • Data Vault
  • Kimball
  • Data warehousing principles and best practices
  • Dimensional modelling
  • Enterprise data architecture concepts


Modernisation Experience

Experience delivering migrations and modernisation initiatives involving technologies such as:

  • Teradata
  • Hadoop
  • Oracle
  • SAS


Preferred Experience

  • Financial Services or Banking sector experience.
  • Experience working within regulated environments.
  • Large-scale cloud transformation programmes.
  • Agile delivery methodologies.
  • Experience working alongside Data Product Owners and Data Architects.
  • Exposure to data governance and metadata management frameworks.
  • CI/CD, Infrastructure as Code, and DevOps practices within data platforms.


Skills & Attributes

  • Strong hands-on engineering capability.
  • Consultative approach with the ability to challenge and guide stakeholders.
  • Excellent communication and stakeholder engagement skills.
  • Ability to operate effectively across both strategic and technical discussions.
  • Strong problem-solving and analytical skills.
  • Delivery-focused mindset with a commitment to engineering quality.
  • Passion for mentoring and developing engineering capability.
  • Comfortable operating within fast-paced transformation programmes.


How To Apply:

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Responsibilities
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