Senior Data Engineer at Bionic Services Ltd

London, London - England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

20 Dec, 26

Salary

60000.0

Posted On

24 Sep, 26

Experience

4 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Information Technology & Services

Description

Proven experience designing, building and maintaining scalable data pipelines and cloud-based data platforms in production environments.
Advanced SQL expertise, including query optimisation, performance tuning and complex data transformations.
Strong Python skills for data engineering, automation and system integrations.
Hands-on experience with Snowflake (or similar cloud data warehouse), including data modelling, optimisation and security/access controls.
Strong experience with dbt, including modelling, testing and deployment best practices.
Solid knowledge of AWS data services and cloud-native architectures (e.g. S3, Lambda, IAM, CloudWatch).
Experience with modern software engineering practices, including Git, CI/CD and automated testing.
Strong understanding of data modelling and data warehousing principles.
Ability to solve complex problems, identify root causes and deliver scalable, reliable solutions.
Experience leading technical delivery, influencing architectural decisions and collaborating across multiple stakeholders.
Comfortable working in ambiguity, translating complex business requirements into structured technical solutions.
Strong communication skills, with the ability to engage both technical and non-technical audiences.

Responsibilities

Proven experience designing, building and maintaining scalable data pipelines and cloud-based data platforms in production environments.
Advanced SQL expertise, including query optimisation, performance tuning and complex data transformations.
Strong Python skills for data engineering, automation and system integrations.
Hands-on experience with Snowflake (or similar cloud data warehouse), including data modelling, optimisation and security/access controls.
Strong experience with dbt, including modelling, testing and deployment best practices.
Solid knowledge of AWS data services and cloud-native architectures (e.g. S3, Lambda, IAM, CloudWatch).
Experience with modern software engineering practices, including Git, CI/CD and automated testing.
Strong understanding of data modelling and data warehousing principles.
Ability to solve complex problems, identify root causes and deliver scalable, reliable solutions.
Experience leading technical delivery, influencing architectural decisions and collaborating across multiple stakeholders.
Comfortable working in ambiguity, translating complex business requirements into structured technical solutions.
Strong communication skills, with the ability to engage both technical and non-technical audiences.