Lead Data Engineer

Intec Select; London; On-site; GBP 70,000 - 85,000; Full time

Job summary

A leading financial services organization is seeking an experienced Lead Data Engineer to join their team in London. This role offers the opportunity to define data governance and architecture, develop scalable ETL pipelines, and modernize the entire data platform. Ideal candidates will have at least 5 years of data engineering experience, strong proficiency in Python and SQL, and familiarity with modern data warehousing solutions. Offering up to £85,000 plus bonus, this position is hybrid and presents a unique chance to shape data strategy in a prominent company.

Benefits

Discretionary bonus

Qualifications

• Minimum 5 years of experience in a Data Engineering role or equivalent.
• Strong proficiency in Python and SQL.
• Proven experience with modern data warehousing solutions.

Responsibilities

• Lead the data engineering function and define the organisation's data architecture.
• Design and implement scalable ETL pipelines and modern workflow orchestration.
• Ensure data quality, documentation, access controls, and CI/CD best practices.

Skills

Python

SQL

Data Warehousing

CI/CD

Data Governance

Tools

Snowflake

Azure Data Factory

Prefect

Git

Job description

Lead Data Engineer – Up to £85,000 + Bonus – Financial Services – London

Overview:
We are currently partnered with a market-leading financial services organisation who are seeking an experienced Lead Data Engineer to join their team and deliver their business-wide data strategy. You will define how data is governed, integrated and scaled across the business, whilst also building and optimising the ETL pipelines which power our analytics and reporting.

As the business embarks on a major modernisation of its data infrastructure, this is a unique opportunity to shape the future data strategy and lead the transformation of the entire data platform.

Role & Responsibilities:

• Lead the data engineering function and define the organisation’s data architecture and governance strategy
• Design and implement scalable ETL pipelines and modern workflow orchestration
• Drive the selection and deployment of a new data tech stack as part of a wider platform modernisation
• Collaborate with stakeholders across research, finance, CRM, and commercial teams to support analytics and decision-making
• Ensure data quality, documentation, access controls, and CI/CD best practices are in place
• Provide technical oversight for database management, version control, and Python-based analytics pipelines
• Minimum 5 years of experience in a Data Engineering role or equivalent
• Strong Python and SQL proficiency
• Proven experience with a modern data warehousing solution (e.g. Snowflake, Azure Data Factory)
• Experience with modern Python-based orchestration tools (e.g. Prefect)
• Familiarity with Git-based development workflows and CI/CD pipelines

Package:

• Salary up to £85,000 (depending on experience)
• Discretionary bonus
• Hybrid (London)

Lead Data Engineer – Up to £85,000 + Bonus – Financial Services – London

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