At a Glance
- Tasks: Join a dynamic team to design and maintain cutting-edge data pipelines in a hybrid work environment.
- Company: KPMG Curve, a fast-growing tech venture focused on innovation and client solutions.
- Benefits: Enjoy a learning allowance, paid overtime, and a strong focus on work-life balance.
- Other info: Flexible hours and part-time options available; be part of a supportive and inclusive culture.
- Why this job: Accelerate your career while working with the latest technologies and making a real impact.
- Qualifications: Experience in Python, SQL, and cloud environments; strong problem-solving and communication skills.
The predicted salary is between 36000 - 60000 ÂŁ 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. And we’re doing things a little differently. 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. Whether that’s unlocking the power of AI, coding for the future of the planet or everything in‑between. In a world where tech is always changing, so are we.
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.
It all starts at KPMG Curve. Here, you’ll progress your career as part of a connected team, while being encouraged to be your true, authentic self. 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, 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.
- 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 and 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).
- Have the ability to work in a cross functional team of Business Analysts and demonstrating an excellent understanding of business requirements.
- Strong communication skills along with 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 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 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.
To discuss this or wider Technology roles with our recruitment team, all you need to do is apply, create a profile, upload your CV and begin to make your mark with KPMG.
Our Locations: 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
Contact Detail:
KPMG UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at KPMG Curve on LinkedIn or attend industry meetups. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about your experience with Python, SQL, and cloud platforms. Show them you’re not just a data engineer, but a passionate problem solver!
✨Tip Number 3
Don’t forget to showcase your soft skills! KPMG Curve values communication and teamwork, so be ready to share examples of how you've collaborated in cross-functional teams or led projects.
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, you can create a profile that highlights your unique skills and experiences tailored to KPMG Curve.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with cloud environments, data pipelines, and any relevant programming languages like Python or SQL.
Show Your Enthusiasm: In your cover letter, let us know why you're excited about working at KPMG Curve. Share your passion for technology and how you stay updated with the latest trends in data engineering.
Be Clear and Concise: When filling out your application, keep your answers clear and to the point. We appreciate straightforward communication, especially when it comes to your technical skills and experiences.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and get you started on your journey with KPMG Curve.
How to prepare for a job interview at KPMG UK
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Python, Scala, Spark, and SQL. Be ready to discuss your experience with these languages and how you've used them in past projects. KPMG Curve is all about cutting-edge tech, so showing your enthusiasm for new technologies will definitely impress.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled data-related issues in the past. Think about challenges you've faced and how you resolved them, especially in an Agile environment. This will demonstrate your ability to think critically and adapt to changing situations.
✨Communicate Clearly
Since you'll be working with cross-functional teams, practice explaining complex technical concepts in simple terms. Being able to articulate your ideas to non-technical audiences, including clients, is crucial. Consider preparing a few scenarios where you've successfully communicated technical strategies.
✨Emphasise Continuous Learning
KPMG Curve values innovation and growth, so highlight your commitment to continuous learning. Discuss any recent courses, certifications, or projects that showcase your desire to stay ahead in the tech field. Mention how you plan to use the learning allowance to further your skills.