Senior Data Engineer

Senior Data Engineer

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

  • Tasks: Join a dynamic team as a Senior Data Engineer, tackling exciting data challenges daily.
  • Company: KPMG Curve is a cutting-edge tech venture focused on innovation and digital delivery.
  • Benefits: Enjoy hybrid work, a learning allowance, paid overtime, and a strong focus on work-life balance.
  • Why this job: Accelerate your career in a supportive environment that values authenticity and continuous learning.
  • Qualifications: Experience with Python, SQL, cloud platforms, and data pipeline design is essential.
  • Other info: Flexible hours and part-time options available; must meet UK National Security Vetting requirements.

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

Base Location: Leeds based (Hybrid – 3 days per week in office).

As a result of the work that we do, we require applicants to hold or be capable of obtaining UK National Security Vetting, the requirements for which could include but not be limited to having resided in the UK for at least the past 5 years and being a UK national or dual UK national. Please note your application will not be taken forward if you cannot fulfil these requirements.

This is KPMG Curve, our newest tech venture. Here to solve our clients’ biggest challenges and uncover even bigger opportunities, Curve is all about staying at the cutting edge of technology and swerving the mundane. As a fast-growing digital delivery service, we always stay ahead of the curve by keeping up with ever-evolving tech practices.

Why Join KPMG Curve as a Senior Data Engineer:

  • Progression at pace.
  • Innovation, led by constant learning.
  • Work that excites you with every twist and turn.

At Curve, we offer career paths that can accelerate top performers, without having to go into management. You can stay technically-focused and carry on improving in your favourite tech field. You won’t be responsible for any sales work, either.

Other benefits include a learning allowance (so you can control your own growth) and paid overtime – prioritising the things that matter most to you. We take our work-life balance seriously, and will make sure you get time back if you’ve been working on anything heavy. At the end of the day, your well-being is what matters most.

What will you be doing?

We welcome data engineers with experience in cloud environments who are happy to bring their views and experiences into the team and add another dimension to our solutions. We need you to be enthusiastic and inquisitive about new technology with a desire to continuously improve data engineering practices. The Senior Engineer would be expected to work as part of a client delivery team, working to the highest technical standards.

What will you need to do it?

  • A high percentage of work will require individuals to hold or be capable of obtaining UK National Security Vetting.
  • Experience in prominent languages such as Python, Scala, Spark, SQL.
  • Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc.
  • Experience with the design, build and maintenance of data pipelines and infrastructure.
  • Understanding of design practices and system architecture with a focus on data security.
  • Experience of working to code review standards to maintain quality.
  • Excellent problem solving skills with experience of troubleshooting and resolving data-related issues.
  • Extensive experience driving and leading Agile methodologies (Scrum, pair-programming etc).
  • Ability to work in a cross-functional team of Business Analysts and demonstrate an excellent understanding of business requirements.
  • Strong communication skills along with the ability to lead a team towards a great product/service and articulate technical strategies to non-technical audiences including clients at all levels including C-suite.

Skills we’d love to see/Amazing Extras:

  • Experience in data engineering/analytics using native technologies of at least one cloud platform (AWS, Azure, GCP).
  • Experience working with cloud platforms and in particular architecting with native cloud resources relevant to data problems.
  • Knowledge of data visualisation tools such as Tableau or Power BI.
  • Interest in building Machine learning and Data science applications.
  • Ability to use a wide variety of open-source technologies.
  • Knowledge and experience using at least one Data Platform Technology such as Quantexa, Palantir and DataBricks.
  • Knowledge of test automation frameworks and ability to automate testing within the pipeline.

We are open to talk to talent across the country but our core Tech hubs for this role are: Leeds. This position will be based from our Leeds offices, with 3 days per week in the office. We can potentially facilitate flexible hours, and part-time options. If you have a need for flexibility, please register and discuss this with our team.

Senior Data Engineer employer: KPMG UK

At KPMG Curve, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and continuous learning. Based in Leeds, our hybrid model allows for flexibility while prioritising work-life balance, ensuring you have the time to recharge and grow. With unique career paths that focus on technical excellence rather than management, alongside benefits like a learning allowance and paid overtime, we empower our employees to thrive both personally and professionally.
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Contact Detail:

KPMG UK Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer

✨Tip Number 1

Familiarise yourself with KPMG Curve's mission and values. Understanding their focus on innovation and technology will help you align your responses during interviews, showcasing how your experience as a data engineer fits into their vision.

✨Tip Number 2

Brush up on your knowledge of cloud platforms like AWS, Azure, or GCP. Since the role requires experience in cloud environments, being able to discuss specific projects or challenges you've faced using these technologies will demonstrate your expertise.

✨Tip Number 3

Prepare to discuss Agile methodologies in detail. As the role involves working in cross-functional teams, being able to articulate your experience with Scrum or pair programming will show that you're a great fit for their collaborative environment.

✨Tip Number 4

Think about examples where you've solved complex data-related issues. Being ready to share specific instances where your problem-solving skills made a difference will highlight your capability and readiness for the challenges at KPMG Curve.

We think you need these skills to ace Senior Data Engineer

Proficiency in Python, Scala, Spark, and SQL
Experience with database technologies such as Oracle, MySQL, and MongoDB
Design, build, and maintenance of data pipelines and infrastructure
Understanding of system architecture with a focus on data security
Experience with code review standards
Excellent problem-solving skills
Experience with Agile methodologies (Scrum, pair-programming)
Ability to work in cross-functional teams
Strong communication skills for articulating technical strategies
Experience with cloud platforms (AWS, Azure, GCP)
Knowledge of data visualisation tools like Tableau or Power BI
Interest in building Machine Learning and Data Science applications
Familiarity with open-source technologies
Experience with Data Platform Technologies such as Quantexa, Palantir, and DataBricks
Knowledge of test automation frameworks

Some tips for your application 🫡

Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Senior Data Engineer position. Familiarise yourself with the technologies mentioned in the job description, such as Python, SQL, and cloud platforms.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job description. Emphasise your expertise in data engineering, cloud environments, and any specific technologies KPMG is looking for.

Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention how your background and skills make you a great fit for KPMG Curve, and express your eagerness to contribute to their innovative projects.

Highlight Security Clearance Capability: Since the role requires UK National Security Vetting, clearly state your eligibility or capability to obtain this clearance in your application. This will demonstrate your understanding of the requirements and your readiness to comply.

How to prepare for a job interview at KPMG UK

✨Showcase Your Technical Skills

As a Senior Data Engineer, you'll need to demonstrate your proficiency in languages like Python, Scala, and SQL. Be prepared to discuss specific projects where you've used these technologies, focusing on the challenges you faced and how you overcame them.

✨Understand Cloud Technologies

Since the role involves working with cloud environments, make sure you can articulate your experience with platforms like AWS, Azure, or GCP. Highlight any relevant projects where you've architected solutions using native cloud resources.

✨Emphasise Problem-Solving Abilities

KPMG values excellent problem-solving skills. Prepare examples of data-related issues you've encountered and how you resolved them. This will showcase your analytical thinking and ability to troubleshoot effectively.

✨Communicate Clearly with Non-Technical Audiences

You'll need to explain complex technical concepts to clients and team members who may not have a technical background. Practice simplifying your explanations and use analogies where possible to ensure clarity.

Senior Data Engineer
KPMG UK
K
  • Senior Data Engineer

    Bradford
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-05-23

  • K

    KPMG UK

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