Data Engineer - DataOps

Coventry Building Society
Coventry
3 months ago
Create job alert

About the role

As the world of data engineering becomes increasingly pivotal in driving modern digital ecosystems, The Coventry is looking to welcome a Data Engineer - DataOps to help us make our evolution a success.


This is more than just a technical role, were looking to build a culture of innovation, ownership, and continuous improvement. Working alongside domain-oriented, multi-disciplinary data product teams to design, develop, and test high-quality data solutions that serve as the backbone of our decision-making and digital services.


As a Data Engineer - DataOps, you’ll support the Senior Data Engineer in enabling our Data Engineering teams to deliver high-quality solutions through automation, CI/CD best practices, and continuous improvement. You’ll help streamline processes, mentor team members, review technical work, and support third-party delivery. This role also includes occasional out-of-hours support to ensure the reliability of our data solutions.


If you’re driven by operational excellence and want to make a real impact, we’d love to hear from you.


Benefits include:

28 days holiday a year plus bank holidays and a holiday buy/sell scheme Annual discretionary bonus scheme Personal pension with matched contributions Life assurance (6 times annual salary)

Location: We operate on a team led hybrid approach with visits to the Coventry office

Find out more about the fantastic benefits of joining Coventry Building Society .


We reserve the right to close this advert early if we receive a high volume of suitable applications

About you

What is essential is strong multi project experience in several of the following or similar in a Data Engineering space:

Strong experience in developing and automating scalable data pipelines in a Finance related data context with a DataOps/DevOps mindset. Solid foundation in data engineering, automation, CI/CD pipelines, IaC, monitoring systems to ensure scalable, reliable data workflows.

You bring professional experience with the following tools: AWS data tooling such as S3/Glue/Redshift/SageMaker. Familiarity with containerization (, Docker/ec2), Orchestration in enterpirse environment (Airflow), Infrastructure automation (Terraform), CI/CD platform (Github Actions & Admin), Password/Secret management (hashicorp vault). Strong Data related programming skills SQL/Python/Spark/Scala.

Experience in Database technologies in relation to Data Warehousing /Data Lake/ Lake housing patterns. Relevant experience when handling structured and non-structured data (Information Modeler) Experience in data modelling techniques and tooling. (Test) Quality Assurance and Test Automation experience in a Data Pipeline.

What would a desirable skillset look like: Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate / Qlik Compose / DataBricks / Informatica / SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working Experience of testing and testing standards. Machine Learning 

About us

We’re one of the largest building societies in the UK and we share a mutual goal across our branches and our offices to improve the lives of others.


We’re officially recognised as a ‘Great Place to Work’ and our benefits go beyond basic pay, with a discretionary bonus scheme, a culture of reward and recognition and comprehensive support for wellbeing.


At the beginning of the year, The Co-operative Bank officially became part of our Group. Together, we have shared values and an ethical approach towards our members, customers, and colleagues.


We’re serious about equality, of race, age, faith, disability, and sexual orientation and we celebrate diversity. By working together, we know you’ll build more than just a career with us.


All together, better.


Flexibility and why it matters


We understand the need for flexibility, so wherever possible, we’ll consider alternative working patterns. Have a chat with us before you apply to see what the possibilities are for this role. 


Proud to be a Disability Confident Committed Employer


We’re proud to offer an interview or assessment to every disabled applicant who meet the minimum criteria for our vacancies. As part of the application process, disabled applicants can opt in for the Disability Confident Interview Scheme. If there are ever occasions where it is not practicable to interview all candidates that meet the essential criteria, such as when we receive a high number of applications, we commit to interviewing disabled candidates who best meet the minimum essential and desirable criteria.

Location

Coventry

Related Jobs

View all jobs

Data Engineer (Data Science)

Data Engineer (Data Science) - Build ML Pipelines

Data Engineer for Data Science — Marketing Analytics

Data Engineer (Data Science)

Data Engineer (Data Science)

Data Engineer, Data Engineer Data Analyst ETL Developer BI Developer Big Data Engineer Analytics Engineer Data Platform Engineer Cloud Data Engineer Azure Data Engineer Data Integration Specialist DataOps Engineer Data Pipeline Engineer

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.