Data Engineer

Cabot Credit Management Group
East Hertfordshire District
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Are you an experiencedData Engineer? Do you have specialist experience inAzure Databricks? Do you enjoy getting stuck into complex problems? If you’ve answered yes, then you could be the right person to join theData Engineeringteam!

What you can expect as a Data Engineer – Azure Specialist:

  • Salary of £65,000
  • Permanent
  • Flexible hybrid working

Not only are we offering a competitive salary and a fantastic bonus scheme, you’ll also be entitled to loads of great benefits including, discount and cash back on hundreds of high-street shops and private health insurance, plus much more.

As our new Data Engineer, you will be looking beyond the obvious to resolve complex problems, alongside using your technical skills. You’ll be responsible for the end-to-end delivery of business needs from toolkit migrations to new innovations using Azure toolkits, primarily using; Azure Data Factory, Databricks, Azure Datalake storage, DevOps, and PowerBI.

To excel in this role, you’ll need to be inquisitive for those investigation skills, have a strong design capability and the ability to work with large, complex data sets. Understanding what people need and being able to deliver it are essential, so collaboration, communication and the ability to influence are important attributes.

Key responsibilities include:

  • Building & Maintaining the ETL processes in Azure.
  • Adhering to agreed Release Management Process.
  • Contribute to ongoing data model design in Azure. Ensure development aligns with the design principles agreed.
  • Work with customers & project teams to support the definition of requirements, scope and plan.
  • Troubleshoot and investigate anomalies and bugs in code or data.
  • Adhere to test and reconciliation standards to produce confidence in delivery.
  • Maintain accurate and up to date DevOps.
  • Critical collaborative skills, engaging with cross-functional teams, including but not limited to across the analytical community, IT, InfoSec and Compliance.
  • Produce appropriate documentation to support ease of access for technical and non-technical users.
  • Efficiently respond to changing business priorities through effective time management.

We are looking for someone with:

  • Experience working with a Data warehouse / Lake with multiple source systems and outputs.
  • Experience in design and implementation using Azure tools and products – Databricks, Data Factory, Datalake Storage, DevOps
  • Knowledge of SparkSQL, T-SQL, SQL Server, Power BI
  • Experience in automating data extraction, transformation/manipulation, summarisation, and delivery.
  • Logical troubleshooting.
  • SparkSQL Performance Tuning.
  • Working knowledge of coding in Python.

What happens next?

If this sounds like you and you’d like to join our rapidly expanding company that offers excellent career progression, then apply now!

Working for Cabot:

You’ll be working for an award winning; Investors in People Gold accredited organisation. We’re passionate about the ethical treatment of our customers and employees. Our mission is to create pathways to economic freedom. Our vision is to make credit accessible by partnering with our consumers to restore their financial health.

Diversity and inclusionare very important to us at Cabot, and we value a multitude of diverse talent within our business. We want everyone to be themselves at work and encourage a culture that includes everyone. Our policies ensure that every candidate and employee are treated fairly and with equal opportunities.

**At Cabot we are highly regulated by our clients, as such, any successful candidates will have to undergo a basic credit check and criminal background check. Please note that we are unable to proceed to interview stage if a CCJ, IVA or Bankruptcy appears on a credit file, or if you do not have full right to work in the UK – we are unfortunately unable to offer sponsorship.

#J-18808-Ljbffr

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.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.