Data Engineer

Creditsafe
Cardiff
2 days ago
Create job alert

We are currently looking a Data Engineer, to join the Data Engineering team in Cardiff.


You will be expected to attend the office 50% of the working week, to align 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 the very fabric of our culture. With these values, we’ve fostered a culture of growth, innovation, well-being and success for the last 20 years at Creditsafe and created a legacy of successful career trajectories within our community of Creditsafers.

Powering business decisions for over 100,000 business across the world requires more than just the right tools. As a company, we don’t shy away from rolling up our sleeves to do everything possible to create a welcoming environment where every new talent is guided, supported and nurtured to grow and become a part of the culture.

With 25 offices across 14 countries, our geographically disperse community of colleagues are a testament to our inclusive and diverse culture that comes together to solve complex problems and learn from each other.

Twice featured in The Sunday Times list of ‘100 Best Companies to Work,’ our list of successful Creditsafers who’ve created long-standing, strong career trajectories out of what started out as jobs, just keeps growing. We’re proud to be a part of a culture and a company where careers are made and where talent meet its true potential.


JOB PROFILE


You will be working closely with the product, data analysts and data engineering, building specific systems facilitating the extraction and transformation of Creditsafe data. The role will define and build data pipelines that will enable faster, better, data-informed decision-making both within the business and for Creditsafe customers. This is an opportunity to gain exposure to distributed data architectures with AWS


KEY DUTIES AND RESPONSIBILITIES


  • Perform a role as part of an Agile team to develop, test and maintain high quality data processing systems that fulfil business needs.
  • Extracting data from various data sources for example relational databases, files and API’s)
  • Help evolve our data platform with a view towards growth and high throughput.
  • Execute practices such as continuous integration and test driven development to enable the rapid delivery of working code.
  • Design and build metadata driven data pipeline using Python and SQL in accordance with guidelines set by the Data Architect
  • Ship medium to large features independently using industry standard processing patterns


The responsibilities detailed above are not exhaustive and you may be requested to take on additional responsibilities deemed as reasonable by their direct line manager.


SKILLS AND QUALIFICATIONS


  • Experience designing and building autonomous fault tolerant data pipelines
  • Solid development experience within a commercial environment creating production grade ETL and ELT pipelines in python
  • Comfortable implementing data architectures in analytical data warehouses such as Snowflake, Redshift or BigQuery
  • Hands on experience with data orchestrators such as Airflow
  • Knowledge of Agile development methodologies
  • Awareness of cloud technology particularly AWS.
  • Knowledge of automated delivery processes
  • Hands on experience of best engineering practices (handling and logging errors, system monitoring and building human-fault-tolerant applications)
  • Ability to write efficient code and comfortable undertaking system optimisation and performance tuning tasks
  • Comfortable working with relational databases such as Oracle, PostgreSQL, MySQL
  • Has exposure to DBT and data quality test frameworks
  • Has awareness of Infrastructure as Code such as Terraform and Ansible


BENEFITS

  • Competitive Salary.
  • Company Laptop supplied.
  • Bonus Scheme.
  • 25 Days Annual Leave (plus bank holidays).
  • Hybrid working model.
  • Healthcare & Company Pension.
  • Cycle to work and Wellbeing Programme.
  • Global Company gatherings and events.
  • E-learning and excellent career progression opportunities.
  • Plus more that can be found on the benefits section on the Careers page, https://careers.creditsafe.com/gb.

Creditsafe is an equal opportunities employer that values diversity. Please contact Creditsafe if there is any support you need with your application.

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Software 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.

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.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.