Apply to the vacancy...
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Apply to the vacancy...
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Sign up for Jobbird
An error occurred while opening the sign-up page. Please try again.

Loading window...

Forgot my password
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Log out
Unfortunately, something went wrong while signing out. Please try again.

Loading window...

Job application sent
Something went wrong while logging in. Please try again.
Something went wrong while signing up. Please try again.

Loading window...

logo
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
Filters
Filters
Location and distance
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
Jobs posted from
Salary from (per month)
Filters
How our sorting works

The order in which job vacancies are displayed is determined by a composite score based on the following factors:

  • Keyword Relevance: How well your search terms match the vacancy details. We prioritize matches found in the job title, followed by job requirements, location names, and educational levels. Matches within general employer information or the organization's name carry a lower weight.
  • Commercial Prioritization (Premium Jobs): Vacancies paid for by employers ('Premium' or 'Sponsored') receive a ranking boost and will appear higher in the search results.
  • Recency (Date Relevance): Newer vacancies are prioritized. The relevance score of a vacancy is reduced by half once the posting is older than 30 days.
  • Proximity (Distance Relevance): Vacancies located closer to your search location are ranked higher. For vacancies located more than 30 km from the search center, the relevance score is halved.
The final ranking is established by multiplying all these individual factors to calculate the total relevance score.

GCS

Data Engineer Lead Role - Hybrid - Banking

GCS City of London
600 to 700
32 - 40 hour


Show Recently closed jobs

    GCS

    Data Engineer Lead Role - Hybrid - Banking

    GCS City of London
    600 to 700
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    £600 to £700
    Hours
    32 to 40 hours per week
    Employment type
    contract

    Job description

    Data Engineer Lead - Tier 1 Bank - London - 6 months

    Role - Data Engineer Lead

    Rate - £700 per day (Inside IR35)

    Duration - 6 months with very likely extension

    Location - Hybrid / Liverpool Street - 3 days per week in an office in Liverpool Street (London)

    Role

    The Data Engineer Lead is responsible for designing, building, and supporting modern data platform, with a particular focus on Databricks, cloud-based data engineering, and leading the migration of legacy Oracle systems into scalable, cloud-native environments.
    The role supports the organisation's data strategy especially on Finance and Regulatory domain by ensuring high-quality, reliable pipelines and data models that enable analytics, regulatory reporting, and data-driven decision-making.
    The post holder plays a key leadership role within the Data Engineering function, shaping architectural direction, ensuring engineering excellence, and partnering with Technology, Architecture, and Business teams across the organisation.Tech Stack

    SQL
    Oracle
    Python
    ETLBackground:

    The bank is migrating from an on-premise Oracle estate to a modern data platform built on cloud and Databricks. This role leads the design, implementation, and optimisation the Data Mart and migration processes, ensuring alignment with enterprise data architecture and compliance standards.Core Responsibilities

    Databricks / Modern Data Platform Engineering

    Lead the design and development of Data Marts using Databricks (SQL / Python).
    Follow engineering best practices including version control, CI/CD, orchestration, and environment management.
    Ensure governance, performance optimisation.Legacy Oracle Migration Leadership

    Lead and coordinate the migration of data assets from Oracle database systems to the modern cloud data platform.
    Oversee source-to-target mapping, data model redesign, and automated migration frameworks.
    Define strategy for retiring legacy ETLs and implementing equivalent or improved cloud-native solutions.
    Collaborate tightly with Oracle DBAs, business SMEs, and architects to ensure data integrity and continuity.Team Leadership & Stakeholder Collaboration

    Provide technical leadership, mentoring, and coaching to data engineers.
    Engage with cross-functional teams (Architecture, DevOps, Analytics, Risk, Finance).
    Translate complex technical decisions into clear business impacts for senior stakeholders.
    Support and review development outputs, ensuring high quality and alignment with standards.Change Management Control

    Comply with change management processes for production deployments and environment updates.
    Ensure documentation and configuration records meet audit requirements.

    GCS is acting as an Employment Business in relation to this vacancy
    Salary description

    £600.00 - £700.00 per day

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


    Vacancy actions

    Save as favorite
    Share vacancy
    Or apply later


    City of London England

    Jobs

    • Search for jobs
    • Jobs per location
    • Jobs per job profession
    • Jobs per employment
    • Jobs per educational attainment

    Jobbird

    • Switch to different region
    • Terms and Conditions
    © 2026 Jobbird