DataOps Engineer

Coventry Building Society; Coventry; Hybrid; GBP 50,000 - 70,000; Full time

Benefits offered by this job

28 days holiday

Annual discretionary bonus

Personal pension with matched contrib.

Life assurance

Job summary

Coventry Building Society is seeking a DataOps Engineer to enhance their Data & Analytics team. In this hybrid position, you'll design and implement data engineering solutions, automate processes, and support continuous improvement.

Key skills include AWS tools, SQL, Python, and familiarity with data modeling and machine learning principles. Join a forward-thinking environment where you can make a significant impact and enjoy robust employee benefits.

Qualifications

• Experience with data engineering solutions and CI/CD.
• Strong programming skills in SQL, Python, Spark, Scala.
• Familiarity with AWS tools and containerization.

Responsibilities

• Design, develop, and test data engineering solutions.
• Automate data engineering processes and improve quality.
• Support business-critical data solutions.

Skills

AWS Data tooling

SQL

Python

Spark

Scala

Data Warehousing

Data Lake

Docker

Terraform

Airflow

Machine Learning

Tools

GitHub Actions

hashicorp vault

Qlik Replicate

Qlik Compose

Databricks

Informatica

SAS

Job description

About the roleCoventry Building Society is undergoing an exciting period of transformation and growth, with Data & Analytics playing a key role in driving innovation and delivering value across the business. The team is focused on building smarter, more efficient ways of working, continuously improving processes, and delivering high-quality data solutions that make a real impact.As a DataOps Engineer, the role holder will support the design, development and testing of data engineering solutions within multidisciplinary data product teams. Acting as a CI/CD specialist for the Data Office, the person in post will help automate data engineering processes, improve delivery quality, and drive continuous improvement across tools, methodologies and ways of working.The role also offers opportunities to coach and support colleagues, provide technical guidance and assurance, work with third-party suppliers, and contribute to the ongoing support of business-critical data solutions, including occasional out-of-hours activities.We operate a team-led hybrid approach, with colleagues typically spending 1-2 days per week in our Coventry office.Our benefits include:28 days holiday a year plus bank holidays and a holiday buy/sell schemeAnnual discretionary bonus schemePersonal pension with matched contributionsLife assurance (6 times annual salary)Find out more about the fantastic benefits of joining Coventry Building Society here.We reserve the right to close this advert early if we receive a high volume of suitable applications.About youWe're looking for a passionate and technically skilled DataOps Engineer to join our growing Data & Analytics team. You'll play a key role in delivering modern, scalable data solutions, driving automation and continuous improvement, and helping to shape best practices across our data engineering capability. This is an exciting opportunity to work with cutting-edge technologies while making a real impact on the Society's data transformation journey.For this role you’ll need to have:AWS Data tooling such as S3/Glue,Redshift.Familiarity with containerization (e.g. Docker/ec2), Orchestraion in enterprise environment (Airflow), Infrastructure automation (Terraform), and CI/CD platform (Github Actions and Admin), Password/Secret Management (hashicorp vault).Strong Data related programming skills SQL/Python/Spark/Scala.Database technologies in relation to Data Warehousing /Data Lake/ Lake housing patterns and 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.Experience in these areas would be helpful:Experience working within Agile teams, ideally using SAFe methodologies.Knowledge of tools such as Qlik Replicate, Qlik Compose, Databricks, Informatica, or SAS.Understanding of data modelling methodologies, including Kimball, Data Vault, and Lakehouse.Awareness of Data Science, AI, and Machine Learning principles and practices.Experience with testing frameworks, standards, and quality assurance practices.Experience deploying, industrialising, and scaling Machine Learning models.Hands-on experience with Machine Learning frameworks such as TensorFlow or PyTorch.Experience leading, coaching, and mentoring colleagues, with oversight of data product delivery within an Agile environment.About usIn 2025, Coventry Building Society purchased The Co-operative Bank. Bringing together our purpose-led building society with the UK’s original ethical bank was the start of an exciting journey.Trusted by over four million people, we’re a mutually owned business free from shareholders, and with our combined experience of almost 300 years, our ethics and dedication will continue to guide us. Together, we have shared values and an ethical approach towards our members, customers and colleagues.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.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.Flexibility and why it mattersWe 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 EmployerWe’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.LocationCoventry-Binley Business Park