Data engineer Work, Jobs in Cardiff, Wls (with Salaries)

Data Engineer
Creditsafe —Cardiff
- Full-time
- Hybrid work
- Oracle
- SQL
- AWS
- Annual leave
Software Engineer, Data Infrastructure & Acquisition - Cardiff, United Kingdom
Speechify —Cardiff
- Remote
- Doctoral degree
- Computer Science
- Master's degree
16h
Senior Data Engineer
Aneurin Bevan University Health Board —Cwmbran
- £50,129 - £57,365 a year
- Full-time
- English
- SQL
- Python
- Paid training
10d
Data Engineer (SC Cleared)
Scrumconnect Consulting —Bridgend
- £65,000 - £70,000 a year
- Hybrid work
- Data analysis skills
- SQL
- AWS
BI and Automation Specialist
Nisbets —Bristol
- Full-time
- Hybrid work
- SQL
- Analysis skills
- Restaurant
- Work from home
9d
Senior Market Intelligence Analytics Engineer
OFGEM —Cardiff
- £49,452 - £62,699 a year
- Part-time
- Hybrid work
- SQL
- Presentation skills
- Continuous improvement
- Annual leave
- Flexible schedule
9d
Platform Specialist
LegalAndGeneral —Cardiff
- Full-time
- Hybrid work
- SQL
- Employee discount
Quick apply
Platform Specialist
Legal & General Investment Management —Cardiff
- SQL
- Employee discount
Senior Research Associate in Digital Politics and Data Systems
University of Bristol —Bristol
- £43,482 - £50,253 a year
- Full-time
- Social media management
- SQL
- University

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Data Engineer

Creditsafe -
Cardiff

Apply Now

Job details

Full-time

Benefits

Cycle to work scheme
Annual leave
Company pension
Company events

Qualifications

Oracle
Ansible
Relational databases
Test-driven development
SQL
AWS
PostgreSQL
Terraform
Data pipeline
APIs
Agile
Redshift
Python
MySQL

Full job description

Shelley Moore

Talent Acquisition Manager

Location

Cardiff

Job type

Full time

Team

Data Engineering

Job Description

We are currently looking for a Data Engineer to join our Data Engineering team in Cardiff.

You will be expected to attend the office 50% of the working week, in line with our hybrid working policy.

WHO ARE WE?

At Creditsafe, we weave our core values of customer obsession, trust, respect, and the courage to be different into everything we do. These values are at the heart of our culture and have helped us build an environment focused on growth, innovation, wellbeing, and long-term success over the past 20 years.

Powering business decisions for over 100,000 businesses worldwide takes more than great tools. We believe in rolling up our sleeves to create a welcoming, supportive environment where new talent is guided, nurtured, and empowered to grow and thrive as part of our community.

With 25 offices across 14 countries, our globally distributed workforce reflects our inclusive and diverse culture. Our teams collaborate to solve complex problems, share knowledge, and learn from one another.

Twice featured in The Sunday Times ‘100 Best Companies to Work For’, Creditsafe is a place where careers are built. Many of our colleagues have grown long-term, successful careers with us—and we’re proud to continue supporting people to reach their full potential.

JOB PROFILE

As a Data Engineer, you will work closely with Product Managers, Data Analysts, and fellow Data Engineers to design and build systems that extract, transform, and deliver Creditsafe data.

You’ll be responsible for defining and building data pipelines that enable faster, smarter, data-informed decision-making across the business and for our customers. This role offers exposure to distributed data architectures in AWS, working on scalable and high-performing data platforms.

KEY DUTIES AND RESPONSIBILITIES

Work as part of an Agile team to develop, test, and maintain high-quality data processing systems that meet business needs
Extract data from a variety of sources, including relational databases, files, and APIs
Help evolve our data platform with a focus on scalability, growth, and high throughput
Apply engineering best practices such as continuous integration and test-driven development to support rapid delivery
Design and build metadata-driven data pipelines using Python and SQL, in line with Data Architecture guidelines
Independently deliver medium to large features, using industry-standard data processing patterns

The responsibilities listed above are not exhaustive, and you may be asked to take on additional reasonable duties as required by your line manager.

SKILLS AND QUALIFICATIONS

Experience designing and building autonomous, fault-tolerant data pipelines
Strong commercial experience developing production-grade ETL and ELT pipelines in Python
Experience implementing data architectures in analytical data warehouses such as Snowflake, Redshift, or BigQuery
Hands-on experience with data orchestration tools such as Airflow
Knowledge of Agile development methodologies
Awareness of cloud technologies, particularly AWS
Understanding of automated delivery and CI/CD processes
Strong engineering fundamentals, including error handling, logging, monitoring, and fault-tolerant design
Ability to write efficient code and carry out performance optimisation and tuning
Comfortable working with relational databases such as Oracle, PostgreSQL, and MySQL
Exposure to dbt and data quality testing frameworks
Awareness of Infrastructure as Code tools such as Terraform and Ansible

BENEFITS

Competitive salary
Company laptop provided
Bonus scheme
25 days annual leave plus bank holidays
Hybrid working model
Healthcare and company pension
Cycle to Work and wellbeing programmes
Global company gatherings and events
E-learning and excellent career progression opportunities
Plus more — see the full benefits package on our Careers page:
https://careers.creditsafe.com/gb

Creditsafe is an equal opportunities employer and values diversity. If you require any support during the application process, please contact the Creditsafe recruitment team.

Apply Now

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data engineer jobs in cardiff, wls

Data Engineer

Software Engineer, Data Infrastructure & Acquisition - Cardiff, United Kingdom

Senior Data Engineer

Data Engineer (SC Cleared)

BI and Automation Specialist

Senior Market Intelligence Analytics Engineer

Platform Specialist

Platform Specialist

Senior Research Associate in Digital Politics and Data Systems

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