Intermediate Data Engineer

CDL Software
Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineering Intern

Data Engineering intern

Data Engineering Intern

Data Engineering Intern

Data Science Intern

Data Science Intern

Description

We are looking for a talented Intermediate Data Engineer who would relish the opportunity to work with our leading a cloud based, high-speed, secure data solution. Do you enjoy working as part of a collaborative, inspiring culture? If you are a Data Engineer who has experience working within cloud environment, we would like to hear from you!

We are looking for a Data Engineer to join our growing team of BI System and Data Engineers working on our cloud-based data solution product Kingfisher. Our Kingfisher product produces high-speed data management information dashboards, that replicates our core system data or any other complex data within minutes of changes taking place enabling clients and data scientists to make decisions.

About CDL
CDL is one of the UK’s leading software development houses, employing over 600 people at its campus in Stockport. It has a consistent history in the high-volume retail insurance sector. CDL has spearheaded developments in the aggregator, web and telematics space, including connected home, enrichment and self-service solutions. As a result, the company’s robust and innovative technologies have enabled its customers to thrive in the highly competitive UK insurance marketplace.
 
We have built a collaborative and creative culture where we employ agile techniques to deliver our pace-setting applications. We pride ourselves on cultivating an inspiring working environment with our employees at the heart of our company.

In a nutshell we are the market leading software house in our industry, creating the software, websites & apps for the Insurance & Finance sector across the UK. If you were to go on a price comparison website, approximately 65% of the companies on there are our clients!


Key Responsibilities

As a Data Engineer, you will have the opportunity to work in a fast-paced environment to continue to develop and support our data platform solution. Working to a clear vision and roadmap you will be part of a growing team, working collaboratively designing and developing the solution.


Skills Knowledge and Expertise

  • Experience with Cloud using AWS
  • Has AWS Solution Architect Certification
  • Knows AWS in depth to handle multiple AWS services including Database and networking
  • Experience working with Elasticsearch or Opensearch
  • Good experience in Terraform
  • Good exposure to Jenkins or similar tools
  • Good understanding and proven experience within a Linux/Unix environment.
  • Familiarity with at least one scripting or programming language (Bash, Python, Go).
  • Experience with Automation Tools, such as,.Jenkins
  • Strong analytical and problem-solving skills.
  • Good Team player
  • Self driven Individual with a positive attitude
  • Experience in complex and highly available software systems
Bonus Points
  • Any experience with Finance Domain would be advantageous.
  • Experience working with clients 


Benefits

Salary

The salary for the role of anIntermediate Data Engineerpaysup to £50,000p.a. providing a fantastic opportunity for career progression through CDL’s clearly defined career framework (https://progression.cdl.co.uk/).

Your growth and advancement within CDL are only limited by your own ambition and effort.

Benefits 
  • Hybrid Working (2 Days a Week in the office - SK4 2HD)
  • Truly flexible working.
  • 25 days holiday to start, increasing by 1 day per 1 year of service up to 30 days.
  • Top employer for 9th year running
  • Excellent training and development platform
  • Opportunities for career progression
  • Health and Wellbeing programme
  • Virtual activities, lunch and learns, coffee mornings and meetups.
  • Life and health assurance
  • Electric Vehicle Scheme
  • Established Recognition Award System
  • Great Parental Benefits
  • Diversity and Inclusion network 
  • Pension scheme
  • Community projects and volunteer days 
  • Refer a friend bonus 
Campus Benefits:
  • On-site free parking
  • Open plan modern offices
  • Quiet Spaces are also available
  • Shuttle bus to and from the station
  • Subsidised restaurant
  • Games room and chill out zone
  • Annual Hackathon & Deep Racer Events
  • Social activities, regular social events through our social group Xtra, including a summer BBQ, competitions, bowling, go-karting, football games, Winter party and much more!
  • Car wash, barber, yoga classes, boot camp and massage services all on site
  • Cycle to work scheme
  • Shower and dry rooms
Diversity and inclusion
We’re on a journey to keep innovating, that means welcoming new ideas and ways of thinking.
 
CDL recognises that building a diverse workforce is critical to the success of our business. We strongly encourage applications from a diverse talent pool and  welcome the opportunity to discuss flexibility requirements and workplace  adjustments with all our applicants.
The UKs biggest insurance retailers rely on CDLs trend setting solutions to drive success and growth. Our ambition and commitment has produced a track record of delivering exactly that. The result is a client base that includes some of the most profitable insurance operations in the UK.

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.

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.