Senior Data Engineer

Senior Data Engineer

Cardiff Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join our Data Cloud team to design and build a cutting-edge data processing platform.
  • Company: Creditsafe is a pioneering data intelligence company, transforming business decisions since 1997.
  • Benefits: Enjoy flexible working hours, competitive salary, and a wealth of learning resources.
  • Why this job: Be part of innovative projects using the latest tech in cloud computing and data management.
  • Qualifications: 8+ years in data engineering with strong Python skills and a passion for problem-solving.
  • Other info: We value diversity and offer a supportive environment for all applicants.

The predicted salary is between 43200 - 72000 £ per year.

We are currently looking Senior Data Engineer to join the Data Cloud team.

WHO ARE WE?

Privately owned and independently-minded, Creditsafe operates with the singular vision of powering business decisions. We do this by delivering valuable intelligence on customers, suppliers and potential buyers to corporates, public sector organisations and SMEs globally.

Our journey began in 1997 in Oslo, Norway in 1997, with a revolutionary dream to make business information accessible to all. Twenty-five years later, we\’ve not only realised this dream, changed the market for the better, made data intelligence accessible to all businesses big and small but most importantly, opened up new avenues of data intelligence for businesses with machine learning, AI and connected data.

From risk management through to opportunity identification, our industry-leading solutions, power decisions for companies by turning their data into actionable insights that help them become stronger, grow faster and thrive.

WHY CREDITSAFE

  • Career Progression: Clearly defined career progression path with opportunities to grow as a technical leader or move into adjacent roles.
  • Learning & Development: Access to a plethora of learning resources and courses to perpetually enhance your skills, with weekly dedicated training and focus time.
  • Work-Life Balance: Committed to promoting a balanced lifestyle with flexible working hours and hybrid work options.
  • Innovation: Engage in exciting projects, harnessing the power of the latest technologies in cloud computing and data management.
  • Our Technology Stack: Python, Linux, Airflow, AWS DynamoDB, S3, Glue, Athena, Redshift, lambda, API Gateway, Terraform, CI/CD

JOB PROFILE

This opportunity is to join a team of highly technically skilled engineers who are redesigning Creditsafe\’s data platform with high throughput and scalability as the primary goal. The data delivery platform is being built upon AWS Redshift and S3 cloud storage. The platform is expected to manage over a billion objects along with daily increments of more than 10 million objects while handling addition, deletion, and correction of our data and indexes in an auditable manner. Our data processing application is entirely based on Python and designed to efficiently transform incoming raw data volume into API consumable schema. The team is also building highly available and low latency APIs to enable our clients with faster data delivery.

KEY DUTIES AND RESPONSIBILITIES

  • You will actively contribute to the codebase and participate in peer reviews.
  • Design and build metadata driven, event based distributed data processing platform using technologies such as Python, Airflow, Redshift, DynamoDB, AWS Glue, S3.
  • As an experienced Engineer, you will play a critical role in the design, development, and deployment of our business-critical system.
  • You will be building and scaling Creditsafe\’s data pipeline primarily moving data between Redshift and S3.
  • Execute practices such as continuous integration and deployment using test-driven development where applicable to enable the rapid delivery of working pipelines.
  • Understanding company & domain data to make recommendations to improve the existing product.

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

  • You understand and can implement data engineering best practices.
  • You demonstrate the ability to write clean & efficient code and combine it with the cloud environment for best performance.
  • You have a minimum 8 years of development experience within a commercial environment creating production grade data pipelines in python.
  • You are looking to grow your skills through daily technical challenges and enjoy problem solving, whiteboarding in collaboration with team.
  • You have excellent communication skills, and ability to explain your views clearly to the team and are open to understanding the views of others.
  • You have a proven track record to draw from a deep and broad technical expertise to mentor engineers, complete hands-on technical work, and provide leadership on complex technology issues.
  • Share your ideas collaboratively via wikis, discussions boards, etc and share any decisions made, for the benefit of others.

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. #J-18808-Ljbffr

Senior Data Engineer employer: Creditsafe

Creditsafe is an exceptional employer that prioritises employee growth and innovation within a flexible work environment. With a strong commitment to career progression, access to extensive learning resources, and a culture that encourages collaboration and creativity, employees are empowered to thrive while working on cutting-edge data solutions. Located in a dynamic industry, Creditsafe offers a unique opportunity to contribute to impactful projects that shape the future of business intelligence.
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Contact Detail:

Creditsafe Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Familiarise yourself with Creditsafe's technology stack, especially AWS services like Redshift and S3. Understanding these tools will not only help you in interviews but also demonstrate your genuine interest in the role.

✨Tip Number 2

Engage with the data engineering community online. Join forums or groups where professionals discuss best practices in Python and cloud computing. This can provide insights that may be beneficial during your discussions with the team.

✨Tip Number 3

Prepare to discuss your previous projects in detail, particularly those involving high throughput data pipelines. Be ready to explain your problem-solving approach and how you overcame challenges in your past roles.

✨Tip Number 4

Showcase your collaborative skills by sharing examples of how you've worked with teams in the past. Highlight any mentoring experiences, as Creditsafe values leadership and knowledge sharing within their teams.

We think you need these skills to ace Senior Data Engineer

Python Programming
Data Pipeline Development
Cloud Computing (AWS)
Data Engineering Best Practices
Event-Based Data Processing
Metadata Management
API Development
Continuous Integration and Deployment (CI/CD)
Test-Driven Development (TDD)
Data Storage Solutions (Redshift, S3, DynamoDB)
Data Transformation Techniques
Collaboration and Communication Skills
Technical Mentorship
Problem-Solving Skills
Scalability and Performance Optimisation

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with Python and AWS technologies. Emphasise your ability to design and build scalable data pipelines, as well as any experience with tools like Airflow and Redshift.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that align with Creditsafe's goals, such as your experience with high throughput data platforms or machine learning applications.

Showcase Your Technical Skills: Include a section in your application that details your technical skills and proficiencies. Highlight your experience with cloud computing, data management, and any relevant programming languages, especially Python, as these are crucial for the role.

Prepare for Technical Questions: Anticipate technical questions related to data engineering best practices and be ready to discuss your previous projects. Be prepared to explain how you approach problem-solving and your experience with continuous integration and deployment.

How to prepare for a job interview at Creditsafe

✨Showcase Your Technical Skills

As a Senior Data Engineer, it's crucial to demonstrate your expertise in Python and cloud technologies. Be prepared to discuss specific projects where you've built data pipelines or worked with AWS services like Redshift and S3.

✨Understand the Company’s Vision

Familiarise yourself with Creditsafe's mission of making business information accessible. This will help you align your answers with their goals and show that you're genuinely interested in contributing to their vision.

✨Prepare for Problem-Solving Scenarios

Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly, as communication is key in collaborative environments, especially when discussing complex technology issues.

✨Emphasise Continuous Learning

Creditsafe values learning and development, so highlight your commitment to personal growth. Share examples of how you've pursued new skills or tackled technical challenges in your previous roles.

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