National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Database Developer | London | Fintech

London
3 weeks ago
Create job alert

We’re working with a leading organization seeking a highly experienced Oracle Database Developer with hands-on expertise in Exadata Cloud at Customer (ExaCC) and deep knowledge of Oracle 19c internals. This is a senior-level role for someone who goes beyond conventional database development — an expert who understands the engine under the hood and can design, optimize, and troubleshoot with precision.
Key Responsibilities
Design and optimize high-performance Oracle database solutions, with specific focus on ExaCC environments.
Troubleshoot complex performance issues using internal diagnostics (e.g., ASH, AWR) rather than canned tools.
Collaborate with architects and data modelers to refine and challenge schema designs.
Build reusable components and streamline legacy database code.
Work closely with DevOps teams using OpenShift, CI/CD tools (Jenkins, GitHub Actions), and scripting (e.g., Bash, Python).
Contribute to systems design with a strong emphasis on observability and supportability.Key Skills & Experience
10+ years of Oracle database development with at least 2 years in ExaCC and Oracle 19c.
Expertise in SQL, PL/SQL, and advanced performance tuning (e.g., bind variable peeking, cursor sharing, hard parsing).
In-depth understanding of Oracle internals, including wait events, cardinality feedback, and histograms.
Experience with both OLTP and Data Warehouse tuning approaches.
Familiar with containerized deployments and CI/CD best practices.
Comfortable presenting complex concepts to both technical and non-technical audiences.
Must have proven experience in Credit Risk - Stress TestingNice to Have
Experience with Liquibase/Flyway, monitoring tools (Prometheus, ELK, Grafana).
Exposure to cloud platforms (e.g., GCP, AWS).
Familiarity with data warehousing patterns (e.g., SCDs, fact tables, junk dimensions).Benefits include:

25 days holiday plus bank holidays
pension
Death in service (4x salary)
Dental
Private medical
flexible working policy - 2 days on site

Related Jobs

View all jobs

Senior Data Scientist

BPM Developer

BPM Developer - Banking - Hybrid

C# / WPF / WCF / Winform Developer

Power Platform Developer / low code developer

Senior Java Backend Developer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Present Data Engineering Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

As the demand for data engineers grows, so do the expectations. It’s not enough to build robust pipelines or optimise ETL jobs—UK employers now look for candidates who can also communicate clearly with stakeholders, especially those without technical backgrounds. Whether you're applying for a data engineering role in finance, healthcare, retail, or tech, your ability to explain complex systems in plain English is becoming one of the most valued soft skills in interviews and in the workplace. This guide will help you master public speaking for data engineering roles: from structuring your presentation and designing effective visuals, to simplifying terminology, storytelling and confidently answering stakeholder questions.

Data Engineering Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data engineering teams. Driven by the UK’s Digital Economy Strategy, the AI & GenAI boom, cheaper cloud storage and a squeeze on legacy batch pipelines, data engineering hiring is in overdrive for 2025. Employers from hyperscale tech firms to NHS trusts want lake‑house architects, streaming‑platform specialists, ETL developers, MLOps pipeline gurus, analytics engineers & FinOps‑savvy cost guardians—right now. Below you’ll find 50 organisations that posted UK‑based data engineering vacancies or announced head‑count growth in the last eight weeks. They’re grouped into five easy‑scan categories. For each company you’ll see its main UK hub, an example live or recent vacancy, and a quick reason it’s worth your time. Search any employer on DataEngineeringJobs.co.uk to view current ads, or set a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Engineering Career with Returnships, Flexible & Hybrid Roles

Re-entering the workforce after a career break can feel like stepping into a rapidly shifting data pipeline—especially in a specialist field like data engineering. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data engineering sector now offers a variety of return-to-work pathways. From structured returnships to flexible, hybrid and full-time roles, these programmes recognise the value of your transferable skills and life experience. With tailored mentorship, targeted upskilling and supportive networks, you can confidently relaunch your data engineering career. In this guide, you’ll learn how to: Understand the current demand for data engineers in the UK Leverage your organisational, communication and problem-solving skills in data contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data engineering Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your relaunch with caring responsibilities Master applications, interviews and networking specific to data engineering Draw inspiration from real returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data pipeline developer, ETL specialist, big-data architect or analytics engineer, this article maps out the steps and resources you need to reignite your data engineering career.