▷ Only 24h Left: Senior Data Engineer...

SR2 | Socially Responsible Recruitment | Certified B Corporation
Bristol
4 days ago
Create job alert

Job Description £50,000 – 65,000 | Senior Data
Engineer | Full Time | Bristol | Redshift/BigQuery | SQL | CI/CD|
GIS| Python One of SR2's longstanding clients have engaged us to
support in the search for a Data Engineer to join their team and
elevate their data engineering practices and principles. This role
is a pure engineering role and the company are doing interesting
work in a crucial space! They are at about 150 heads across the
business with an office in Bristol. They foster an incredibly
collaboarative enviornment, with a focus on career progression for
all of their staff. Which of your skills will be used? - Proven
experience in a Data Engineering role. - Experience on Cloud – AWS
and GCP preferred. - BigQuery/Redshift experience is desireable. -
Experience working with and understanding different databases
(Structured, non-relational, Graph etc.) - CI/CD experience -
Python or Java experience is preferred - GIS experience is
desirable. - ETL experience (Ideally with DBT, but not a hard
requirement) Benefits? - Hybrid working – 2 days per week on site.

  • Up to £65,000 - Private Medical - 4x DIS - 5% employer pension,
    you can put in as much as you like above 5% - Modern office space
    with free parking - Even if your skillset doesn't match this spec
    100%, I will still be keen to speak with you so please apply if it
    is of interest. There are interview spots booked across the next
    couple of weeks, so please contact Adam Townsend on or
    to find out more information and to be
    considered. £50,000 – 65,000 | Senior Data Engineer | Full Time |
    Bristol | Redshift/BigQuery | SQL | CI/CD| GIS |
    Python

Related Jobs

View all jobs

▷ (High Salary) Senior Data Engineer...

▷ Apply Now! Lead AI & Data Engineer...

▷ Urgent Search: Lead Data Engineer...

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.