Head of Data Engineering

Fintellect Recruitment; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading financial services provider based in the UK is seeking a Head of Data to lead their data strategy and management. This role involves defining and implementing data initiatives and ensuring high data quality across the organization, tailored to support their new credit card offerings. The ideal candidate will possess significant experience in data engineering, a strong technical background, and the ability to thrive in a fast-paced environment.

Qualifications

• Proven experience in senior data roles, especially in engineering or data platform development.
• Strong proficiency in Python and SQL is required.
• Experience with cloud infrastructures like AWS is advantageous.

Responsibilities

• Lead the development and implementation of the company’s data strategy.
• Ensure stakeholders have access to accurate data and promote data literacy.
• Collaborate with engineering teams on data quality and KPI definitions.

Skills

Data Engineering

Data Strategy

Stakeholder Management

Data Quality Management

Communication

Leadership

Technical Acumen

Cloud Infrastructure

Education

Degree in Computer Science or related field

Tools

Python

SQL

AWS

ETL/ELT tools

Databricks

Snowflake

Redshift

Job description

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Our Client

A new UK-based financial services provider is launching a credit card offering aimed at delivering fair, flexible, and user-friendly financial products to consumers. The organisation is committed to empowering individuals by enhancing their understanding and control of personal finance through clarity, intelligence, and technology.

Its products are designed to simplify money management, giving customers more financial control and flexibility. The goal is to enable smarter financial decisions so people can focus more on the positive aspects of life, rather than the stresses associated with managing money.

Responsibilities

As Head of Data, you will lead the development and implementation of the company’s data strategy. You’ll be responsible for ensuring stakeholders have access to accurate and timely data, working closely with a Data Product Owner to align data initiatives with business objectives.

• Define and communicate the organization’s data strategy, ensuring alignment with key functions such as risk, finance, product, and customer service.
• Promote data literacy across the organization by enabling self-service capabilities for non-technical teams.
• Lead the design and rollout of a scalable data warehouse to support analytics and reporting.
• Translate business requirements into technical solutions in partnership with the Data Product Owner.
• Influence the evolution of the loan management system to reflect data strategy goals.
• Oversee updates to systems and processes, including the creation of robust datamarts for operational use.
• Manage the development and maintenance of data models, pipelines, and warehousing infrastructure.
• Ensure high standards of data quality, security, and consistency.
• Collaborate with engineering teams to define and track key performance indicators.
• Stay informed on emerging industry trends and technologies.
• Build and manage a high-performing team of data engineers and analysts.
• Ensure adherence to regulatory standards such as FCA compliance and GDPR.
• Lead the data governance forum and contribute to best practices in data management.

About You

Ways of Working

• Comfortable in a fast-paced, evolving environment.
• Focused on automating repetitive tasks to drive efficiency.
• Implements rigorous checks to ensure data integrity.
• Hands-on and ready to assist in technical tasks when needed.

Your Approach

• Self-driven with a strong curiosity for systems and data.
• Detail-oriented with a collaborative mindset.
• Thrives in a startup or scaling environment where adaptability is key.

Your Experience

• Demonstrated experience in senior roles related to data engineering or data platform development.
• Proficient in Python and SQL.
• Familiar with data integration tools and frameworks (e.g., ETL/ELT, streaming technologies).
• Experience working with cloud infrastructure (e.g., AWS).
• Strong knowledge of data modeling, warehousing, and big data platforms.
• Skilled communicator and team collaborator.
• Background in financial services, especially credit or lending data, is advantageous.
• Familiarity with platforms like Databricks, Snowflake, or Redshift.

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology, Management, and Strategy/Planning

• Industries

  Banking and Financial Services

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